{ "count" : 132226, "data" : [ { "id" : "6a305644f292fd229cf2694d", "title" : "Manager, Data Modeling & Governance", "company" : "The J.M. Smucker Co.", "industry" : "Food & Beverage", "salary" : { "min" : 135500.0, "max" : 198500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Modeling & Governance in Orrville, United States, adjusted for seniority, company size, and the food & beverage industry." }, "location" : "Orrville, OH", "locations" : [ "Orrville, OH", "United States of America" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T11:55:45.638", "fingerprint" : "483781a214b1ed6cd79bbbce9cda8328a04ba441ee93f2461880d58eb6d2265e", "source" : "workday", "language" : "en", "applyUrl" : "https://smucker.wd5.myworkdayjobs.com/US_External_Careers/job/Orrville-OH/Manager--Data-Modeling---Governance_115408", "externalId" : "115408", "industryFunction" : { }, "locationPoint" : "40.84367,-81.76402", "structuredLocations" : [ { "city" : "Orrville", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.8436664,-81.7640212" } ], "locationText" : "Orrville, Ohio, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Data governance", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipeline management", "Model deployment", "Data quality assurance", "Performance tuning" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" } ], "majorSkills" : "Data modeling, Data governance, Machine learning", "majorSkillsList" : [ "Data modeling", "Data governance", "Machine learning" ], "coreResponsibilities" : "Develop and maintain data models, Establish and enforce data governance policies, Design and implement data pipelines, Build and deploy machine learning models, Create and manage business intelligence dashboards, Perform quantitative analysis, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Optimize data infrastructure for performance and scalability, Stay current with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Data warehousing concepts; Data governance frameworks; Machine learning algorithms; Statistical modeling; Business intelligence principles; Cloud data platforms", "domainList" : [ "data-warehousing-concepts", "data-governance-frameworks", "machine-learning-algorithms", "statistical-modeling", "business-intelligence-principles", "cloud-data-platforms" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Data governance frameworks", "Machine learning algorithms", "Statistical modeling", "Business intelligence principles", "Cloud data platforms" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation; Data dictionary maintenance", "problemSolvingSkills" : "Root cause analysis; Troubleshooting data issues", "qualificationsBasic" : "Bachelor's degree, 5+ years experience, SQL proficiency", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**_Your Opportunity as the Manager, Data Modeling & Governance _** The Manager, Data Modeling & Governance is responsible for leading a team of data architects and governance professionals while establishing enterprise standards for how data is defined, structured, and governed. This role ensures that data is trusted, consistently defined, and aligned to support scalable analytics and reporting across the organization. This role defines and enforces standards for dimensional modeling using star schema principles, including fact and dimension design, conformed metrics, and semantic consistency across domains. It ensures that analytics data models are reusable, performant, and aligned to business needs, while supporting a unified semantic layer that enables reliable reporting and analytics, including Tableau. In addition, this role owns the enterprise data governance framework, including metadata, lineage, data ownership, and classification. Governance practices are designed to be embedded into daily workflows, ensuring data is discoverable, accountable, and usable. This role defines what data means and how it is structured, complementing data engineering and platform engineering capabilities across the enterprise data platform. **Location:** Orrville, OH (Close proximity to Cleveland/Akron) **Work Arrangements:** Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires **In this role you will:** * **Team Leadership & Talent Development** * Lead, coach, and develop a team of Data Architects and Data Governance professionals * Set clear priorities, performance expectations, and deliverables * Establish consistent modeling and governance practices across domains * Build team capabilities in dimensional modeling, governance execution, and business alignment * Create and maintain scalable documentation, standards, and training materials * **Data Modeling Standards** * Define and enforce enterprise standards for dimensional modeling using star schema principles * Establish consistent design patterns for fact tables, dimension tables, conformed dimensions, and metric definitions * Ensure models are optimized for analytics, reporting, and usability, including Tableau * Promote reusable, domain-aligned models that reduce redundancy and duplication * **Semantic Consistency & Business Alignment** * Define and maintain consistent business definitions across the enterprise * Establish a unified semantic layer supporting Tableau and certified data sources * Resolve discrepancies in metric definitions and data interpretation * Ensure alignment between source data, engineered data layers, and published analytics assets * **Data Governance Strategy & Execution** * Own and evolve the enterprise data governance operating model * Establish standards for data classification, sensitivity, retention, and lifecycle management * Define requirements for metadata completeness, ownership, and stewardship * Track governance adoption, maturity, and compliance across domains * **Metadata, Lineage & Data Catalog** * Own metadata strategy and governance tooling, including platforms such as Atlan and Unity Catalog * Drive completeness and accuracy of business definitions, lineage, and ownership * Improve discoverability and usability of enterprise data assets * Increase adoption of catalog and governance workflows * **Governance Integration with Delivery** * Define how governance and modeling standards are embedded into data engineering workflows * Establish standards for certified datasets and trusted data sources * Define promotion patterns from raw to curated to published data layers * Ensure governance supports efficient delivery and consumption of analytics **What we are looking for:** Minimum Requirements: * Bachelor’s Degree or equivalent experience * 10+ years of experience in data modeling, governance, or data architecture * 3+ years of experience managing and developing technical teams * Proven experience implementing enterprise data governance programs * Strong experience defining and enforcing data modeling standards at scale * Experience supporting enterprise analytics and reporting environments * Deep expertise in dimensional modeling using star schema for analytics and reporting * Strong experience in data governance frameworks and execution * Experience with metadata management, lineage, and data catalogs such as Atlan * Strong understanding of analytics ecosystems, including Tableau * Experience aligning data models with business definitions and reporting requirements Additional skills and experience that we think would make someone successful in this role (not required): * Lakehouse and layered data architectures * Data quality frameworks and validation practices * Data access controls and governance implementation approaches * Modern data platform concepts and workflows ** _The Right Place for You_** We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our [ _Basic Beliefs_](https://www.jmsmucker.com/about/values/our-basic-beliefs), and we believe in supporting every employee by meeting their physical, emotional, and financial needs. **Stay connected with us on**[ _LinkedIn®_](https://www.linkedin.com/company/the-jm-smucker-co/mycompany/verification/?viewAsMember=true) We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.", "summaryDescription" : "Manager, Data Modeling & Governance at The J.M. Smucker Co.. Skills: Data modeling, Data governance, Machine learning. Develop and maintain data models. Establish and enforce data governance policies", "postedDate" : "2026-06-16T03:47:55.928", "createdAt" : "2026-06-16T03:47:55.915", "lastUpdated" : "2026-06-16T11:55:45.638", "ingestTimestamp" : "2026-06-16T03:47:55.915", "mongoId" : "6a305644f292fd229cf2694d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://smucker.wd5.myworkdayjobs.com/US_External_Careers/job/Orrville-OH/Manager--Data-Modeling---Governance_115408", "salaryAnnualMin" : 135500, "salaryAnnualMax" : 198500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL development", "Data pipeline management", "Model deployment", "Data quality assurance", "Performance tuning", "Data modeling", "Data governance", "Machine learning", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data warehousing concepts", "Data governance frameworks", "Machine learning algorithms", "Statistical modeling", "Business intelligence principles", "Cloud data platforms", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca4e174d8ee00a09b3a54", "title" : "AML/CTF Sanctions Manager", "company" : "HALA", "industry" : "FinTech", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in AML/CTF Sanctions in Riyadh, Saudi Arabia, adjusted for the FinTech industry." }, "location" : "Riyadh, Riyadh, Saudi Arabia", "locations" : [ "Riyadh", "Riyadh", "Saudi Arabia" ], "certifications" : [ "CAMS", "CGSS" ], "timestamp" : "2026-06-15T10:21:00.016", "fingerprint" : "5a999b39750f40104dbd5fdcb7240afc537c752fec104323752e0eae9228a8a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hala/jobs/5064334008", "externalId" : "5064334008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "state" : "Riyadh", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Riyadh, Saudi Arabia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Risk management", "Compliance", "Financial crime", "Regulatory reporting" ], "hardSkillsList" : [ "Sanctions screening", "Sanctions analysis", "Sanctions framework", "Sanctions risk", "Sanctions controls", "Sanctions lists", "Sanctions alerts", "Sanctions systems", "Sanctions training", "Sanctions compliance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Sanctions screening", "level" : "intermediate" }, { "name" : "Sanctions analysis", "level" : "intermediate" }, { "name" : "Sanctions framework", "level" : "intermediate" }, { "name" : "Sanctions risk", "level" : "intermediate" }, { "name" : "Sanctions controls", "level" : "intermediate" }, { "name" : "Sanctions lists", "level" : "intermediate" }, { "name" : "Sanctions alerts", "level" : "intermediate" }, { "name" : "Sanctions systems", "level" : "intermediate" }, { "name" : "Sanctions training", "level" : "intermediate" }, { "name" : "Sanctions compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Sanctions management, AML/CTF, Regulatory compliance", "majorSkillsList" : [ "Sanctions management", "AML/CTF", "Regulatory compliance" ], "coreResponsibilities" : "Establish sanctions framework, Manage sanctions framework, Enhance sanctions framework, Define sanctions strategy, Define annual objectives, Define KPIs, Define annual sanctions program, Monitor SAMA circulars, Interpret SAMA circulars, Implement SAMA circulars, Perform sanctions gap analysis, Identify control gaps, Drive remediation plans, Oversee sanctions screening, Ensure sanctions lists are accurate, Ensure sanctions lists are up to date, Ensure sanctions lists are correctly configured, Lead review of sanctions alerts, Lead investigation of sanctions alerts, Lead resolution of sanctions alerts, Ensure freezing of accounts, Ensure blocking of accounts, Manage escalation to senior management, Own sanctions freeze register, Maintain sanctions freeze register, Track freezes, Track releases, Track regulatory communications, Lead development of sanctions systems, Lead improvement of sanctions systems, Enhance data quality, Tune rules, Automate processes, Reduce false positives, Act as sanctions subject-matter expert, Advise business teams, Advise product teams, Advise technology teams, Build sanctions team, Manage sanctions team, Develop sanctions team, Define roles, Set performance objectives, Provide training, Ensure adequate resourcing, Ensure succession planning, Produce sanctions reports, Produce financial crime reports, Design sanctions training programs, Deliver sanctions training programs, Ensure staff understand sanctions obligations, Ensure staff understand escalation requirements, Ensure staff understand operational responsibilities, Support SAMA inspections, Support audits, Support regulatory reviews, Address findings, Maintain comprehensive documentation", "teamCollaboration" : "Advise business teams; Advise product teams; Advise technology teams; Engage with regulators; Engage with auditors; Engage with law-enforcement", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SAMA Sanctions Rules; Targeted financial sanctions; Proliferation financing; Financial crime; AML/KYC", "domainList" : [ "sama-sanctions-rules", "targeted-financial-sanctions", "proliferation-financing", "financial-crime", "aml-kyc" ], "domainSpecificKnowledge" : [ "SAMA Sanctions Rules", "Targeted financial sanctions", "Proliferation financing", "Financial crime", "AML/KYC" ], "toolProficiency" : [ "Screening systems" ], "communicationSkills" : "Periodic reports; Training programs; Regulatory engagement", "documentationSkills" : "Audit trails; Regulatory documentation", "continuousLearning" : "Annual learning stipend; Regular training", "problemSolvingSkills" : "Root-cause analysis; False positive reduction", "outcomesObjectives" : "Timely implementation of directives; Reduction of false positives", "qualificationsBasic" : "Bachelor’s degree in Law, 5 – 8 years experience in sanctions, Hands-on understanding of targeted financial sanctions frameworks, Proven experience managing sanctions screening systems, Proven experience leading teams, Fluent in Arabic, Fluent in English", "qualificationsPreferred" : "CAMS certification preferred, CGSS certification preferred, Equivalent certification preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Who Are We HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools. HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations. Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank. Responsibilities : Establish, manage, and continuously enhance the sanctions framework across the organization, including policies, procedures, controls, governance, and operating model, in line with SAMA Sanctions Rules and international best practices. Define the sanctions strategy, annual objectives, KPIs, and the annual sanctions program, ensuring alignment with regulatory expectations and business risk profile. Monitor, interpret, and implement all SAMA circulars, directives, and instructions related to sanctions, targeted financial sanctions (TFS), and proliferation financing (PF), ensuring timely implementation within defined target dates. Perform sanctions gap analysis against SAMA requirements and international best practices, identify control gaps, and drive remediation plans with clear ownership and timelines. Oversee sanctions screening across onboarding, existing customers, transactions, employees, UBOs, and third parties, ensuring sanctions lists and data are accurate, up to date, and correctly configured within screening systems. Lead the review, investigation, and resolution of sanctions alerts, including potential and confirmed matches, with full ownership of final decisions, documentation, and defensible audit trails. Ensure immediate freezing or blocking of accounts, funds, or transactions when required under sanctions regulations, and manage escalation to senior management in accordance with SAMA requirements. Own and maintain a central sanctions freeze and actions register, including tracking of freezes, releases, and regulatory communications. Lead the development and continuous improvement of sanctions systems and screening tools, including data quality enhancement, rule tuning, automation, and reduction of false positives without compromising coverage. Act as the sanctions subject-matter expert for new products, services, and material changes, advising business, product, and technology teams on sanctions risks and required controls before go-live. Build, manage, and develop the sanctions team, including role definition, performance objectives, training, and ensuring adequate resourcing and succession planning. Produce periodic sanctions and financial crime reports for senior management, covering KPIs, trends, regulatory updates, and key sanctions risks. Design and deliver sanctions-specific training and awareness programs, ensuring staff understand sanctions obligations, escalation requirements, and operational responsibilities. Support SAMA inspections, audits, and regulatory reviews related to sanctions, address findings through root-cause analysis, and maintain comprehensive documentation to demonstrate compliance. Act as a senior delegate to the MLRO for sanctions-related engagement with regulators, auditors, and law-enforcement authorities when required. Education : Bachelor’s degree in Law, or a related field. 5 – 8 years of experience in sanctions, within regulated financial institutions. Strong hands-on understanding of targeted financial sanctions frameworks and expectations. Proven experience managing sanctions screening systems and leading teams. Fluent in Arabic and English. Preferred certifications: CAMS, CGSS, or equivalent. What We Offer You We believe you will love working at HALA! We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups. We offer highly competitive compensation packages, including the potential for shares. We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment. Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry. We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company. You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best. If you think you have what it takes to join a remarkable team #apply_now", "summaryDescription" : "AML/CTF Sanctions Manager at HALA. Skills: Sanctions management, AML/CTF, Regulatory compliance. Establish sanctions framework. Manage sanctions framework", "postedDate" : "2026-06-14T08:49:52.169", "createdAt" : "2026-06-14T08:49:52.169", "lastUpdated" : "2026-06-15T10:21:00.016", "ingestTimestamp" : "2026-06-14T08:49:52.169", "mongoId" : "6a2ca4e174d8ee00a09b3a54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sanctions screening", "Sanctions analysis", "Sanctions framework", "Sanctions risk", "Sanctions controls", "Sanctions lists", "Sanctions alerts", "Sanctions systems", "Sanctions training", "Sanctions compliance", "Leadership", "Sanctions management", "AML/CTF", "Regulatory compliance", "Risk management", "Compliance", "Financial crime", "Regulatory reporting", "Roadmap planning", "SAMA Sanctions Rules", "Targeted financial sanctions", "Proliferation financing", "AML/KYC", "CAMS", "CGSS", "Screening systems" ], "skillCount" : 26, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b84f292fd229cf5ea5e", "title" : "Data Governance Manager", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Governance Manager in Birmingham, United States, adjusted for manager seniority and full-time employment." }, "location" : "Birmingham", "locations" : [ "Birmingham" ], "timestamp" : "2026-06-16T06:25:15.555", "fingerprint" : "1b2159b2e6768edf9afb19f5f5e4c8f334c6dc3e227893d24e83178029f777a8", "source" : "jazzhr", "language" : "en", "externalId" : "AilMoHGVRt", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.5206824,-86.8024326" } ], "locationText" : "Birmingham, Alabama, United States", "experienceLevel" : "Manager", "qualificationsBasic" : "Data governance experience", "summaryDescription" : "Data Governance Manager", "createdAt" : "2026-06-15T22:21:38.431", "lastUpdated" : "2026-06-16T06:25:15.555", "ingestTimestamp" : "2026-06-15T22:21:38.431", "mongoId" : "6a305b84f292fd229cf5ea5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca65e74d8ee00a09bb02a", "title" : "Data Steward", "company" : "bol. com", "industry" : "E-Commerce", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Steward in Utrecht, Netherlands, adjusted for Lead seniority and the E-Commerce industry." }, "location" : "Utrecht, Utrecht, Netherlands", "locations" : [ "Utrecht", "Utrecht", "Netherlands" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T07:56:32.097", "fingerprint" : "6aed8b4c1c8536d52c17d74aafd8f7ea1f789f0cb5aede6f3c093042ab282459", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bolcomen/jobs/8493386002", "externalId" : "8493386002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "softSkillsList" : [ "Mentoring" ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data governance, Data quality, Metadata management", "majorSkillsList" : [ "Data governance", "Data quality", "Metadata management" ], "teamCollaboration" : "Data Product teams; Data Product Management & Governance function; Steward Council; Data Product Managers; Data Engineers; Product Analysts; Data Scientists; Data Management Specialists", "domainKnowledge" : "Data product lifecycle; Data product thinking", "domainList" : [ "data-product-lifecycle", "data-product-thinking" ], "domainSpecificKnowledge" : [ "Data product lifecycle", "Data product thinking" ], "communicationSkills" : "Cross-domain discussions", "documentationSkills" : "Metadata documentation; Lineage documentation", "problemSolvingSkills" : "Root cause analysis", "rawDescription" : "Data Steward The trusted voice your domain's data didn't know it needed How do you make our customers happy? Customer recommendations, business insights, and sophisticated AI models have one thing in common: they are only as good as the underlying data quality. As a Data Steward, you ensure that the data products in your domain are correct, consistent, complete, and compliant. Not after the fact, but before anyone bases reports and decisions on them. You own the governance, quality, metadata, lineage, and semantic definitions across the full product lifecycle. You build the conditions for others, from analysts who rely on KPIs to data scientists who train models and compliance teams that sign off on reports, to do their jobs with confidence. The biggest challenge Data stewardship at bol is transforming. What used to be a fragmented responsibility is becoming a dedicated function with a solid mandate and heartfelt accountability. You're stepping into a role that is still being defined. Yes, standards exist, but not all of them have been stress-tested in practice. Domains have definitions, but they don't always agree with each other. And teams are used to solving governance issues locally. Your challenge isn't just to execute the framework; it's to help us establish how we apply it. You'll need to introduce structure without bureaucracy, enforce standards without becoming a bottleneck, and build trust across teams that haven't worked with a dedicated steward before. Let alone someone as dedicated as you. What you'll do as a Data Steward Bol is quickly transitioning from decentralized, part-time data governance to dedicated, product-centric stewardship - and you're joining as we implement this ambition. You'll be embedded in one or more domains as the single point of contact for questions relating to governance, quality, and semantics. You operate within a federated model: close to data product teams that are aligned through the Data Product Management & Governance function. Whereas more junior stewards execute policy within established guidelines, you interpret and shape how those guidelines are applied. And where improvements are called for. That makes for a role that calls for tooling mastery (SQL, DataHub/DataPlex for cataloging and lineage, BigQuery and dbt for data products, and JIRA for tracking issues), coupled with the ability to coach and inspire less experienced colleagues. Own data governance, quality, metadata, and lineage for data products across their full lifecycle (discover → design → build → publish → operate → sunset Define domain-specific data quality rules (completeness, validity, consistency, timeliness, uniqueness) and review automated test results, coordinating root cause analysis and structural remediation where needed Maintain and validate data contracts: schemas, business rules, semantics, privacy classifications, and access controls Develop and maintain domain-level semantic models - harmonizing KPI and data definitions with other domains through the Steward Council Validate lineage from source to informative data product, ensuring transformations, schema mappings, and change impacts are documented and understood Proactively identify governance gaps, anticipate downstream effects of changes, and propose improvements before issues escalate Coach and review the work of more junior data stewards, ensuring consistency and quality of execution within the team Represent your domain in cross-domain governance discussions, bringing both authority and pragmatism Why you can make a difference You have advanced expertise in data governance, quality frameworks, metadata management, and semantic modeling. And you know how to apply it in practice, not just in theory. You're comfortable navigating ambiguity: interpreting standards where they're unclear, escalating when needed, and representing your domain with authority in cross-domain discussions. Your combination of deep tooling knowledge and stakeholder credibility sets you apart. You don't just flag issues, you actively drive resolutions. You don't just apply standards, you help shape them. You also understand that the goal of data stewardship is to enable those who build on your data to do so with confidence. 3 reasons why this is (not) for you Compliant craftsperson You take pride in well-documented lineage, clean definitions, and metadata that actually mean something. Compliance is an art. Shadow spotter You spot inconsistencies that others walk past. If a KPI is not consistently derived from its defined source of truth, you’re on it! Memorable mentor You don’t just explain standards, you make it apparent that they’re good ideas. Born builder This role focuses on inspiring trust, not transformation. You master that skill like no other. Quickly comfortable 95% metadata completeness sounds fine. That last 5% is basically a rounding error. Agree-ability adept When two domains define the same metric differently, you adopt an ‘agree to disagree’ stance. Here's where you'll land You'll join the Data Product Management & Governance team within bol's Data, Analytics & AI department, reporting to the Lead Data Governance & Stewardship. You'll collaborate daily with Data Product Managers, Data Engineers, Product Analysts, Data Scientists, and Data Management Specialists. Your work, at the intersection of business knowledge, engineering, and governance, is essential to bol's transition toward data product thinking. With 13.7 million customers and an accelerating AI agenda, the quality and trustworthiness of bol's data products isn't a nice-to-have. It's the foundation everything else is built on. You’ll help make that foundation rock solid.", "summaryDescription" : "Data Steward at bol. com. Skills: Data governance, Data quality, Metadata management", "postedDate" : "2026-06-14T01:57:00.028", "createdAt" : "2026-06-14T01:57:00.028", "lastUpdated" : "2026-06-15T07:56:32.097", "ingestTimestamp" : "2026-06-14T01:57:00.028", "mongoId" : "6a2ca65e74d8ee00a09bb02a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mentoring", "Data governance", "Data quality", "Metadata management", "Data product lifecycle", "Data product thinking", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f40f292fd229cf7a1e7", "title" : "Senior Data Governance Specialist", "company" : "Rituals", "industry" : "Cosmetics", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Governance Specialist in Amsterdam, Netherlands, adjusted for the retail industry and company size." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T09:27:17.772", "fingerprint" : "0361b69b0126b6908620b99bc3203863f55169922df89c989ed45072ee64384e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Rituals1/744000132218694-senior-data-governance-specialist", "externalId" : "744000132218694", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Data ownership", "Data quality", "Metadata management", "Data classification", "Change management" ], "hardSkillsList" : [ "Data governance framework", "Data governance tooling", "Data definitions", "Governance structures" ], "softSkillsList" : [ "Influence", "Educate stakeholders", "Challenge ideas constructively" ], "hardSkills" : [ { "name" : "Data governance framework", "level" : "intermediate" }, { "name" : "Data governance tooling", "level" : "intermediate" }, { "name" : "Data definitions", "level" : "intermediate" }, { "name" : "Governance structures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Influence" }, { "name" : "Educate stakeholders" }, { "name" : "Challenge ideas constructively" } ], "majorSkills" : "Data governance, Change management, Stakeholder engagement", "majorSkillsList" : [ "Data governance", "Change management", "Stakeholder engagement" ], "coreResponsibilities" : "Co-develop data governance framework, Validate data governance framework, Co-develop data governance tooling, Validate data governance tooling, Co-develop organisational structure, Validate organisational structure, Ensure governance initiatives are practical, Ensure governance initiatives are business-focused, Ensure governance initiatives are aligned with operational processes, Use knowledge of products to guide decisions, Use knowledge of processes to guide decisions, Use knowledge of systems to guide decisions, Guide decisions around data definitions, Guide decisions around data classifications, Guide decisions around data ownership, Guide decisions around governance structures, Support onboarding of data owners, Support continuous development of data owners, Organise training sessions, Help build data governance community, Provide feedback on governance design, Provide feedback on governance tooling, Act as data governance ambassador, Create engagement from stakeholders, Create buy-in from stakeholders, Collaborate with cross-functional teams, Support end-to-end adoption of data governance practices", "teamCollaboration" : "Cross-functional teams; Central Data Governance Team; Control & Analytics Department; Business departments; Tech & Data Department", "domainKnowledge" : "Data governance practices; Data ownership model; Data quality improvements; Accountability; Transparency; Governance-minded thinking", "domainList" : [ "data-governance-practices", "data-ownership-model", "data-quality-improvements", "accountability", "transparency", "governance-minded-thinking" ], "domainSpecificKnowledge" : [ "Data governance practices", "Data ownership model", "Data quality improvements", "Accountability", "Transparency", "Governance-minded thinking" ], "communicationSkills" : "Influence stakeholders; Educate stakeholders", "continuousLearning" : "Gain knowledge of Rituals’ products; Gain knowledge of Rituals’ services; Gain knowledge of Rituals’ systems; Gain knowledge of Rituals’ internal culture", "problemSolvingSkills" : "Analytical thinking; Critical thinking", "outcomesObjectives" : "Strengthen data ownership model; Support data quality improvements; Contribute to accountability culture; Contribute to transparency culture; Contribute to governance-minded thinking culture; Successful implementation of data governance policies; Successful adoption of data governance policies; Successful implementation of data governance frameworks; Successful adoption of data governance frameworks; Successful implementation of data governance tooling; Successful adoption of data governance tooling; Improve data quality; Reduce risk; Strengthen organisational readiness", "qualificationsBasic" : "HBO/WO degree, At least 5 years of relevant work experience, Experience in data management, Experience in data governance, Experience in change management, Practical knowledge of data governance topics, Communication skills, Collaboration skills, Analytical thinking skills, Critical thinking skills, Stakeholder engagement skills", "qualificationsPreferred" : "Master's degree in Business Administration, Master's degree in Data Science, Master's degree in Information Management, Experience in training, Experience in facilitation, Experience in community building, Familiarity with data management tools, Familiarity with business processes, Knowledge of Rituals’ products, Knowledge of Rituals’ services, Knowledge of Rituals’ systems, Knowledge of Rituals’ internal culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As our Senior Data Governance Specialist, you play a key role in helping Rituals manage data as a strategic asset. You translate business knowledge into practical and effective data governance practices, ensuring governance frameworks, tooling, and ways of working are aligned with real business needs, processes, and systems. In this role, you act as an important bridge between business teams and the central data governance function. You help strengthen the data ownership model, support data quality improvements, and contribute to a culture where accountability, transparency, and governance-minded thinking are embedded across the organisation. You are part of the Control & Analytics Department and the Central Data Governance Team, reporting to the Head of Reporting & BI. You will work closely with colleagues across all business departments and the Tech & Data Department. YOUR ACCOUNTABILITIES As Senior Data Governance Specialist, you will: * co-develop and validate the data governance framework, tooling, and organisational structure together with the Data Governance Implementation Manager * ensure governance initiatives are practical, business-focused, and aligned with operational processes * use your knowledge of products, processes, and systems to guide decisions around data definitions, classifications, ownership, and governance structures * support the onboarding and continuous development of data owners across the organisation * organise training sessions and help build a strong data governance community * provide constructive feedback on governance design and tooling to improve feasibility, usability, and adoption * act as a data governance ambassador, creating engagement and buy-in from stakeholders at all levels * collaborate closely with cross-functional teams to support the end-to-end adoption of data governance practices In this role, your impact is significant. You contribute directly to the successful implementation and adoption of data governance policies, frameworks, and tooling across Rituals. By bringing practical business input into governance strategy and design, you support Rituals’ long-term data ambition while helping improve data quality, reduce risk, and strengthen organisational readiness. ## Qualifications You are a strong connector who understands both business reality and the value of good data governance. You know how to bring people along, challenge ideas constructively, and translate complexity into practical actions. You are comfortable working across functions and levels, and you enjoy building structure, ownership, and long-term impact. You also have: * an HBO/WO (Bachelor/Master) degree, preferably in Business Administration, Data Science, or Information Management * at least 5 years of relevant work experience * experience in data management, data governance, and change management * practical knowledge of data governance topics such as data ownership, data quality, metadata, and classification * strong communication and collaboration skills, with the ability to influence and educate stakeholders at all levels * strong analytical and critical thinking skills, and the confidence to challenge ideas constructively * experience in training, facilitation, and community building * stakeholder engagement skills that help drive cultural and behavioural change * familiarity with data management tools, business processes, and systems; this is a plus * be open to gain strong knowledge of Rituals’ products, services, systems, and internal culture This is an exciting opportunity to play an important role in shaping and embedding data governance across Rituals. You will work in a highly visible position with broad exposure across the business, where your expertise will help connect people, processes, and data in a meaningful way. If you are passionate about strengthening data ownership, improving governance adoption, and building a more data-aware organisation, this role offers the opportunity to make a real and lasting impact. ## Additional Information YOUR PATH TO A NEW CAREER Grow with us! The next steps are: * Apply via our website (please make sure you meet the requirements and tell us why you apply) * Our recruiter will contact you within 10 working days. * An introductory meeting at at our Central Head Office in Amsterdam follows. * You do an online assessment. * You have the second interview at our Central Head Office in Amsterdam. * In the event of a positive outcome, you will receive a proposal with the terms of employment. Any questions? Recruitment is happy to speak to you via [frederik.vanzeggeren@rituals.com](mailto:pieter.deboer@rituals.com). Please note that applications via e-mail are not taken into consideration.", "summaryDescription" : "Senior Data Governance Specialist at Rituals. Skills: Data governance, Change management, Stakeholder engagement. Co-develop data governance framework. Validate data governance framework", "postedDate" : "2026-06-15T14:35:20.000", "createdAt" : "2026-06-16T00:09:38.092", "lastUpdated" : "2026-06-16T09:27:17.772", "ingestTimestamp" : "2026-06-16T00:09:38.092", "mongoId" : "6a305f40f292fd229cf7a1e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data governance framework", "Data governance tooling", "Data definitions", "Governance structures", "Influence", "Educate stakeholders", "Challenge ideas constructively", "Data governance", "Change management", "Stakeholder engagement", "Data ownership", "Data quality", "Metadata management", "Data classification", "Data governance practices", "Data ownership model", "Data quality improvements", "Accountability", "Transparency", "Governance-minded thinking" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c94e874d8ee00a098bdf1", "title" : "Data Governance & Data Platform Architect (Manager lead)", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager-level Data Governance & Data Platform Architect in Madrid, Spain, within the FinTech industry, adjusted for seniority and company size." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-16T02:40:37.878", "fingerprint" : "d9810abddcdec8be027168220ef21e2089cf7e3dd9a448de85beeca9686d58fd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4860757101", "externalId" : "4860757101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Data Governance, Data Platform, Lakehouse architecture, Data quality, Data lineage, Metadata management, Data security, Data models, MDM, AWS, Azure, GCP, Databricks", "professionalSkills" : [ "System design", "Data architecture", "Data modeling", "Stakeholder management", "Process definition", "Operating model definition" ], "hardSkillsList" : [ "Data governance strategy", "Data quality standards", "Metadata management", "Data lineage tracking", "Data security models", "Standardized data models", "Data operating model", "Data ingestion", "Data standardization", "Agile methodology", "Data quality metrics", "Data platform adoption", "Data value realization", "Federated architectures", "Domain-oriented architectures", "Data Lakes", "Access control models", "Data governance frameworks", "Data quality monitoring" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Negotiation", "Influencing skills" ], "hardSkills" : [ { "name" : "Data governance strategy", "level" : "intermediate" }, { "name" : "Data quality standards", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage tracking", "level" : "intermediate" }, { "name" : "Data security models", "level" : "intermediate" }, { "name" : "Standardized data models", "level" : "intermediate" }, { "name" : "Data operating model", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data standardization", "level" : "intermediate" }, { "name" : "Agile methodology", "level" : "intermediate" }, { "name" : "Data quality metrics", "level" : "intermediate" }, { "name" : "Data platform adoption", "level" : "intermediate" }, { "name" : "Data value realization", "level" : "intermediate" }, { "name" : "Federated architectures", "level" : "intermediate" }, { "name" : "Domain-oriented architectures", "level" : "intermediate" }, { "name" : "Data Lakes", "level" : "intermediate" }, { "name" : "Access control models", "level" : "intermediate" }, { "name" : "Data governance frameworks", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Negotiation" }, { "name" : "Influencing skills" } ], "majorSkills" : "Data Governance, Data Platform Architecture, Team Leadership", "majorSkillsList" : [ "Data Governance", "Data Platform Architecture", "Team Leadership" ], "coreResponsibilities" : "Lead and develop multidisciplinary teams, Define clear objectives, Assign responsibilities, Ensure efficient execution, Foster a culture of collaboration, Oversee task prioritization, Allocate resources, Resolve blockers, Drive team maturity in Agile practices, Ensure consistency in Scrum ceremonies, Design data governance strategy, Lead implementation of data governance strategy, Supervise use of data governance tools, Integrate data governance tools with models, Ensure documentation of architecture, Ensure documentation of processes, Ensure documentation of decisions, Ensure documentation of standards, Support regulatory requirements, Support audit requirements, Define global data operating model, Evolve global data operating model, Establish governance forums, Establish decision-making bodies, Ensure alignment with Group data policies, Ensure alignment with regulatory frameworks, Define KPIs for data quality, Define KPIs for platform adoption, Define KPIs for data value realization, Oversee integration of data ingestion, Oversee integration of standardization initiatives, Act as bridge between data platform and business, Promote data-as-a-product mindset", "teamCollaboration" : "Multidisciplinary teams; Technical and functional teams; Global teams; Cross-country teams; Business domains; Data Engineering; Architecture; Data product teams", "projectManagementSkills" : [ "Agile methodology", "Scrum ceremonies", "Backlog management" ], "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub; Financial services; Regulatory frameworks; Federated data architectures; Domain-oriented architectures; Data Lakes; Lakehouse architecture", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub", "financial-services", "regulatory-frameworks", "federated-data-architectures", "domain-oriented-architectures", "data-lakes", "lakehouse-architecture" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub", "Financial services", "Regulatory frameworks", "Federated data architectures", "Domain-oriented architectures", "Data Lakes", "Lakehouse architecture" ], "toolProficiency" : [ "Jira", "Confluence", "Openmetada" ], "communicationSkills" : "Technical stakeholders; Business stakeholders; Executive stakeholders", "documentationSkills" : "Structured documentation; Architecture documentation; Process documentation; Decision documentation; Standards documentation", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Critical thinking", "specialRequirements" : "60% on site", "outcomesObjectives" : "Enable trusted data products; Enable scalable data products; Enable business-driven data products; Support regulatory compliance; Support operational excellence; Support advanced analytics use cases; Support AI use cases", "qualificationsBasic" : "Degree in Engineering, Computer Science, Telecommunications, Mathematics, or equivalent, 8-10 years of experience in data-related roles, Experience managing backlogs, Experience applying Agile methodology, Command of Jira and Confluence, Knowledge of data security and access control models, Experience defining data quality metrics, Experience monitoring data quality frameworks", "qualificationsPreferred" : "Experience within PagoNxt highly valued, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. \uD83D\uDCCC What you'll do Role Mission Lead and evolve Getnet Global’s data governance and data platform capabilities to enable trusted, scalable, and business-driven data products across all countries and global teams, supporting regulatory compliance, operational excellence, and advanced analytics/AI use cases. Looking for a Data Governance & Data Platform Manager with strong team‑leadership experience and a strategic vision for data, responsible for driving data governance, data quality, and the enterprise data platform. This role will lead multidisciplinary teams—both technical and functional—and coordinate data ingestion and standardization initiatives across multiple countries, ensuring their integration within the Lakehouse ecosystem. The position requires a balanced combination of leadership, technical expertise, and management skills in Agile environments, as well as a strong focus on structured documentation in Jira and Confluence. \uD83D\uDCCCResponsibilities Team Leadership & Management Lead and develop multidisciplinary teams (Data Governance, Data Engineering, Data Platform) in an Agile environment. Define clear objectives, assign responsibilities, and ensure efficient and coordinated execution in a multi‑country context. Foster a culture of collaboration, technical excellence, and ownership within the team. Oversee task prioritization, resource allocation, and the resolution of blockers. Drive team maturity in Agile practices, ensuring consistency in Scrum ceremonies and continuous improvement. Data Governance Design and lead the implementation of the data governance strategy, including data quality, lineage, metadata, security, and standardized data models. Supervise the use and operations of data‑governance tools (cataloging, quality, lineage, MDM) and their integration with automated, AI‑based models. Ensure comprehensive documentation of architecture, processes, decisions, and standards. Support regulatory and audit requirements related to data management and traceability. Define and evolve the global data operating model (roles, responsibilities, data ownership, stewardship model). Establish governance forums and decision-making bodies (Data Council, Domain Data Owners, etc.). Ensure alignment with Group data policies and regulatory frameworks. Data Platform Define and track KPIs for data quality, platform adoption, and data value realization. Oversee the integration and evolution of the Data Lake/Datamart using technologies such as Databricks, Unity Catalog, etc. Coordinate data ingestion from multiple countries, ensuring harmonization and compliance with corporate standards. Ensure traceability, integrity, and full documentation of the data lifecycle. Agile Methodology, Documentation & Tools Lead Scrum operations across teams: planning, refinements, progress tracking, and retrospectives. Ensure comprehensive and up‑to‑date documentation in Jira, including epics, user stories, acceptance criteria, and task workflows. Maintain solid Confluence documentation, covering architecture, processes, integrations, standards, and key decisions. Ensure proper integration of Agile practices into the global data strategy. Business & Stakeholder Alignment Act as the bridge between data platform capabilities and business domains (Risk, Finance, Operations, CRM and data product teams global and locally). Promote a data-as-a-product mindset across countries and domains. \uD83D\uDCCCRequirements Education Degree in Engineering, Computer Science, Telecommunications, Mathematics, or equivalent. Experience 8–10 years of experience in data‑related roles within the Santander Group, leading both technical and functional teams. Experience within PagoNxt will be highly valued. Experience with federated and domain‑oriented data architectures. Experience with Data Lakes and platforms based on Databricks. Experience in data governance: cataloging, quality, lineage, MDM, standards, etc. Experience managing backlogs and applying Agile methodology. Strong command of Jira and Confluence. Experience with cloud environments (AWS/Azure/GCP). Knowledge of data security and access control models. Experience defining Data Governance frameworks from scratch or scaling them globally. Experience implementing or managing tools such as Openmetada or other data governance tools. Experience defining data quality metrics and monitoring frameworks. Experience driving adoption of enterprise data platforms. \uD83D\uDCCCCompetencies Strong leadership and demonstrated ability to manage complex teams. Strategic vision and critical thinking. Excellent communication skills with technical, business, and executive stakeholders. Results‑driven mindset and commitment to operational excellence. Ability to lead change in large and regulated organizations. Experience working in global, multi-country organizations. Strong negotiation and influencing skills in matrix organizations. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83E\uDDB7 Dental insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCB0 Profit sharing program \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Data Governance & Data Platform Architect (Manager lead) at Getnet. Skills: Data Governance, Data Platform Architecture, Team Leadership. Lead and develop multidisciplinary teams. Define clear objectives", "postedDate" : "2026-06-14T19:21:42.638", "createdAt" : "2026-06-14T19:21:42.638", "lastUpdated" : "2026-06-16T02:40:37.878", "ingestTimestamp" : "2026-06-14T19:21:42.638", "mongoId" : "6a2c94e874d8ee00a098bdf1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data governance strategy", "Data quality standards", "Metadata management", "Data lineage tracking", "Data security models", "Standardized data models", "Data operating model", "Data ingestion", "Data standardization", "Agile methodology", "Data quality metrics", "Data platform adoption", "Data value realization", "Federated architectures", "Domain-oriented architectures", "Data Lakes", "Access control models", "Data governance frameworks", "Data quality monitoring", "Leadership", "Critical thinking", "Negotiation", "Influencing skills", "Data Governance", "Data Platform Architecture", "Team Leadership", "System design", "Data architecture", "Data modeling", "Stakeholder management", "Process definition", "Operating model definition", "Scrum ceremonies", "Backlog management", "Payment solutions", "Fintech", "Acquiring hub", "Financial services", "Regulatory frameworks", "Federated data architectures", "Lakehouse architecture", "Jira", "Confluence", "Openmetada" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e959fde", "title" : "Data Governance Lead", "company" : "HDR", "salary" : { "min" : 125500.0, "max" : 188500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Lead Data Governance Lead in Omaha, United States, adjusted for company size and industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T22:47:09.099", "fingerprint" : "af12fe3a9f4d66dcd064dfd1d65111bbbf85696c887bf22a5d7200dd8e170663", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=781020", "externalId" : "781020", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Nebraska-Omaha", "summaryDescription" : "Data Governance Lead at HDR", "createdAt" : "2026-06-14T21:57:37.995", "lastUpdated" : "2026-06-15T22:47:09.099", "ingestTimestamp" : "2026-06-14T21:57:37.995", "mongoId" : "6a16291c58b93c861e959fde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125500, "salaryAnnualMax" : 188500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c918074d8ee00a0983119", "title" : "Data Governance Specialist", "company" : "GROPYUS", "industry" : "Manufacturing", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Governance Specialist in Berlin, Germany, adjusted for the technology industry and company size." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-15T06:52:22.484", "fingerprint" : "495a3d4900462a1e875988753fc03711d4d7cf74ef9ed270847285030dbac0a8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/gropyus/jobs/4681064101", "externalId" : "4681064101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Data Fabric; Data Mesh; Graph Databases; Construction domain; Consulting domain; Health Care domain; Regulatory requirements; Legal data requirements; Privacy requirements", "domainList" : [ "data-fabric", "data-mesh", "graph-databases", "construction-domain", "consulting-domain", "health-care-domain", "regulatory-requirements", "legal-data-requirements", "privacy-requirements" ], "domainSpecificKnowledge" : [ "Data Fabric", "Data Mesh", "Graph Databases", "Construction domain", "Consulting domain", "Health Care domain", "Regulatory requirements", "Legal data requirements", "Privacy requirements" ], "workSiteFlexibility" : "Flexible", "rawDescription" : "About The Company GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability. About the Role: As Gropyus moves into the next phase of scaling up, we anticipate our Data growing rapidly. As such, we’re looking for an experienced, enthusiastic Data Governance professional to join the Data and AI vertical. This role reports directly to the Head of Data and AI and will act as a high-level individual contributor as well as a strategic thought partner for not only the Data Leadership team (consisting of Head, Managers, and Product partners) but partners across Gropyus. A successful candidate in this role will help us apply our Semantic Ontologies to our centralized Data Fabric as well as consult and advise tech domain expert teams on improving resilient, secure and well-documented data in accordance with compliance standards and in partnership with our Governance, Risk collaborate on audits and compliance reviews. Contribute to our Data Literacy efforts and expand training opportunities for our internal stakeholders. Work closely with our Governance, Risk ability to define, measure, monitor, remediate data quality. Good understanding of data architecture, data modeling, metadata management, data lineage. Strong communication, stakeholder management skills; ability to influence, negotiate, collaborate cross-teams. Proficient in working with regulatory and legal data/privacy requirements (e. g. GDPR. EU AI Act) Desirable Skills: Hands-on experience with one or more data governance tools/platforms (e.g., Collibra, Informatica, Alation, Talend, data catalogs, metadata tools) Past projects or familiarity with Ontologies, OWL and Semantic languages Familiarity with Data Fabric or Data Mesh frameworks Familiarity or Experience with Graph Databases Experience with highly complex, dynamic domains (Construction, Consulting, or Health Care) What We Offer Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them. Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery. Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired. Be an owner: Participate in the success of GROPYUS through stock options. Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet. We can't wait to get to know you. For more information, visit our website, and if you have any questions, please reach out to us via email.", "summaryDescription" : "Data Governance Specialist at GROPYUS", "postedDate" : "2026-06-14T09:08:12.656", "createdAt" : "2026-06-14T09:08:12.656", "lastUpdated" : "2026-06-15T06:52:22.484", "ingestTimestamp" : "2026-06-14T09:08:12.656", "mongoId" : "6a2c918074d8ee00a0983119", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data Fabric", "Data Mesh", "Graph Databases", "Construction domain", "Consulting domain", "Health Care domain", "Regulatory requirements", "Legal data requirements", "Privacy requirements" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309be9f292fd229c0f55e1", "title" : "Sr. Data Analyst", "company" : "Tech Holding", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Mexico, adjusted for the e-commerce industry and remote work." }, "location" : "Mexico, Remote", "locations" : [ "Mexico", "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:44:59.021", "fingerprint" : "6091b732bd75dbcc97fd3ed5815a428ef10221b7aa25eed521f8a249c3720d1f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/techholding/jobs/4706303005", "externalId" : "4706303005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Mexico", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Model development", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Business Intelligence, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Business Intelligence", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders, Ensure data quality, Optimize data processes, Communicate findings", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Regression; Classification; Clustering; Time-series analysis", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "regression", "classification", "clustering", "time-series-analysis" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP BigQuery", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document data models; Document pipelines", "problemSolvingSkills" : "Data analysis; Troubleshooting data issues", "qualificationsBasic" : "4+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, or Mathematics", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role We are seeking a Senior Data Analyst, for a project-based assignment, to help drive data-driven decision making across a fast-growing ecommerce and subscription-based business. In this role, you will collaborate closely with Product, Marketing, Merchandising, and Engineering teams to deliver actionable insights that support growth, retention, personalization, and operational efficiency initiatives. The ideal candidate has strong analytical and statistical skills, deep experience working with modern analytics platforms, and the ability to translate complex data into meaningful business recommendations. This role requires both hands-on analytical execution and the ability to provide technical guidance across cross-functional teams. Key Responsibilities Business Intelligence: Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions. Advanced Analytics: Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy. Process Automation: Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time. E-commerce Focus: Drive insights on customer acquisition, retention, and user experience within a subscription-based model. Cross-functional Collaboration: Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution. Communication & Storytelling: Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels. Required Skills Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field 4+ years in data analytics or related fields, with 2+ years providing technical guidance to teams Proven experience in an e-commerce environment, preferably subscription-based models Expertise in advanced analytics and statistical methods Proficiency in Tableau, Snowflake, SQL, Python, or R Strong ability to communicate technical details and high-level business strategies to mixed audiences Core Skills Snowflake Tableau SQL / Python A/B Testing dbt / Airflow E-commerce Subscription Models Statistical Analysis Nice to Have Machine learning, A/B testing and experimental design Deep knowledge of e-commerce KPIs and personalization Location Candidates must be authorized to work in and be located in Mexico. #LI-Remote Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR", "summaryDescription" : "Sr. Data Analyst at Tech Holding. Skills: Data Science, Machine Learning, Business Intelligence, Data Engineering. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-16T03:15:46.917", "createdAt" : "2026-06-16T03:15:46.917", "lastUpdated" : "2026-06-16T12:44:59.021", "ingestTimestamp" : "2026-06-16T03:15:46.917", "mongoId" : "6a309be9f292fd229c0f55e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Model development", "Statistical modeling", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Business Intelligence", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP BigQuery", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b2f74d8ee00a09109c8", "title" : "Data Governance Technical Program Manager", "company" : "Gusto, Inc.", "salary" : { "min" : 165500.0, "max" : 235500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Governance Technical Program Manager in Denver, United States, adjusted for the FinTech industry and company size." }, "location" : "Denver, CO, United States", "locations" : [ "Denver", "CO", "United States", "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-16T03:12:47.912", "fingerprint" : "14ef8d6768a319e3e3226ba0bd16fca6164c316eadaf2da79dadc6d3f3b65877", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gusto/jobs/7982793", "externalId" : "7982793", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: Gusto is becoming an AI-native company, and that only works if our data governance keeps pace. As the Data Governance TPM, you'll own the definition and delivery of that program across Data Platforms, R&D, Legal & Compliance, Security, AIT, and Risk. You'll stand up new controls, harden the data flows that feed our models, and make sure every workstream meets our regulatory, audit, and business bar. You'll drive the timelines, manage the dependencies, head off the risk, and use AI plugins to do the work itself, so governance becomes something that helps Gusto move faster instead of slowing it down. About the Team: The TPM organization is part of our AIT, Risk, and Security team. We deliver the cross-functional work that lets Gusto securely accelerate its AI and platform modernization. The Data Governance program sits right at the intersection of security, compliance, and platform engineering, and it's foundational to how Gusto scales its AI ambitions responsibly. This is one of the most strategic programs on the team, and you'll lead it across a complex, fast-moving group of stakeholders. Here’s what you’ll do day-to-day: Set the strategy and the roadmap Work with leaders across Security, Legal, Compliance, Privacy, GRC, Data Platforms, and Risk to shape where data governance goes as Gusto becomes an AI-native company. Define what good governance looks like for an AI-first business, and set the multi-quarter vision that gets us there. Run intake and prioritization with senior stakeholders, and make the call on what gets built first. Decide where governance should clear the way for AI speed and where it needs to hold the line, and bring leaders along on the why. Put AI plugins to work to pull together stakeholder input, map dependencies, and keep the roadmap grounded in what's really happening. Run the programs and the change Lead delivery across the governance portfolio. That includes RBAC and User Access Reviews, DSAR, Kafka and data pipeline governance, ITGC, disaster recovery, feature stores for Risk models, and cleaning identifiable data before it ever reaches a model. Build governance workflows that run on AI plugins by default, so control checks and evidence collection happen automatically instead of by hand. Build the plans, manage scope and risk, track milestones, and deliver against every audit and regulatory commitment. Roll out new controls and help teams adopt them with training, comms, and runbooks that plugins keep up to date for you. Keep a busy, fast-moving group of stakeholders aligned with clear, steady updates on where things stand. Manage stakeholders and vendors Hold vendors and partners to their commitments and push them toward AI-forward ways of working. Stay on top of how every workstream is tracking, raise flags early, and get teams unstuck when they stall. Watch the program budget, tooling spend, and implementation costs. Here's what we're looking for: You'll need A history of taking programs from ambiguous to shipped in regulated environments. 8+ years leading cross-functional TPM or delivery work, with real time spent on security, compliance, data, or infrastructure. A solid handle on data governance, from access controls and data lifecycle to privacy, audit and ITGC, and data pipelines, and a sense for how they help Gusto move faster on AI. A way of working where AI plugins drive your everyday delivery, and you help the people around you work the same way. The ability to speak the language of engineering, legal, privacy, data platform, and security, and keep everyone rowing together. Nice to have Familiarity with AI and ML governance, including training data hygiene, feature stores, and ML platform tooling. Hands-on experience using AI clients and plugins (MCPs) to generate program artifacts and take the busywork off your plate. A working knowledge of control frameworks like SOC 1/2, ISO 27001, and ISO 42001, plus privacy regulations like GDPR and CCPA. A PM certification (PMP, CAPM, Scrum, or Prosci) and time spent in high-growth fintech or another regulated, fast-paced industry. Our cash compensation amount for this role is targeted at $151,580-180,000 in Denver. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.", "summaryDescription" : "Data Governance Technical Program Manager at Gusto, Inc.", "postedDate" : "2026-06-14T19:07:57.783", "createdAt" : "2026-06-14T19:07:57.783", "lastUpdated" : "2026-06-16T03:12:47.912", "ingestTimestamp" : "2026-06-14T19:07:57.783", "mongoId" : "6a2c6b2f74d8ee00a09109c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165500, "salaryAnnualMax" : 235500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098bdf0", "title" : "Data Governance & Data Platform Architect (Functional Lead)", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Data Governance & Data Platform Architect in Madrid, Spain, adjusted for the FinTech industry and company size." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-16T01:27:46.648", "fingerprint" : "d1ca2fdeabb3a72f0746f8aae3b8b866aeccdba574590e50920c23b77abcfd42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4860764101", "externalId" : "4860764101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Databricks, Power BI", "professionalSkills" : [ "Data Governance", "Data Architecture", "Master Data Management", "Data Security", "Access Control" ], "hardSkillsList" : [ "Data quality", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Regulatory compliance" ], "softSkillsList" : [ "Strategic thinking", "Analytical mindset", "Problem-solving" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Lakehouse architecture", "level" : "intermediate" }, { "name" : "Domain-driven design", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinking" }, { "name" : "Analytical mindset" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data Governance, Data Platform Architecture, Lakehouse", "majorSkillsList" : [ "Data Governance", "Data Platform Architecture", "Lakehouse" ], "coreResponsibilities" : "Evolve global governance operating model, Embed data standards into Lakehouse architecture, Coordinate governance practices across countries, Act as bridge between Business Domains, Data Engineering,, Ensure governance principles are applied, Ensure regulatory requirements are applied, Ensure data quality standards are applied", "teamCollaboration" : "Business Domains; Data Engineering; Architecture; Global organization", "domainKnowledge" : "Data Governance frameworks; Data quality dimensions; Metadata management; Data lineage; Lakehouse architecture; Domain-driven design; Master Data Management; Data security; Access control models; Regulatory requirements", "domainList" : [ "data-governance-frameworks", "data-quality-dimensions", "metadata-management", "data-lineage", "lakehouse-architecture", "domain-driven-design", "master-data-management", "data-security", "access-control-models", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Data Governance frameworks", "Data quality dimensions", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Master Data Management", "Data security", "Access control models", "Regulatory requirements" ], "toolProficiency" : [ "Databricks", "Power BI" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Documentation-oriented working style", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Problem-solving capability", "specialRequirements" : "60% on site", "qualificationsBasic" : "Bachelor's degree in Engineering, Computer Science, Mathematics, or related field, Working knowledge of SQL, Fluency in English", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. \uD83D\uDCCC What you'll do We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. Education Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field. \uD83D\uDCCCTechnical & Functional Knowledge Solid understanding of: Data Governance frameworks Data quality dimensions and monitoring approaches Metadata management and data lineage Data architecture principles (Lakehouse, domain-driven design) Master Data Management (MDM) concepts Data security and access control models Working knowledge of SQL and data environments in Databricks (to engage effectively with technical teams). Understanding of regulatory and compliance requirements related to data management. Familiarity with Power BI or similar tools for governance reporting. \uD83D\uDCCC Key Competencies Strong strategic thinking combined with technical depth. Ability to translate governance principles into architectural requirements. Excellent stakeholder management and communication skills. Ability to influence in a matrix and global organization. Analytical mindset with strong problem-solving capability. Structured and documentation-oriented working style. Fluency in English (mandatory). \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83E\uDDB7 Dental insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCB0 Profit sharing program \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Data Governance & Data Platform Architect (Functional Lead) at Getnet. Skills: Data Governance, Data Platform Architecture, Lakehouse. Evolve global governance operating model. Embed data standards into Lakehouse architecture", "postedDate" : "2026-06-14T17:39:31.494", "createdAt" : "2026-06-14T17:39:31.494", "lastUpdated" : "2026-06-16T01:27:46.648", "ingestTimestamp" : "2026-06-14T17:39:31.494", "mongoId" : "6a2c94e874d8ee00a098bdf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data quality", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Regulatory compliance", "Strategic thinking", "Analytical mindset", "Problem-solving", "Data Governance", "Data Platform Architecture", "Lakehouse", "Data Architecture", "Master Data Management", "Data Security", "Access Control", "Data Governance frameworks", "Data quality dimensions", "Data security", "Access control models", "Regulatory requirements", "Databricks", "Power BI" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a99f292fd229cf5331a", "title" : "Sr Data Scientist II- Finance Data Science", "company" : "HubSpot", "industry" : "SaaS", "salary" : { "min" : 153800.0, "max" : 246100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-16T07:27:35.146", "fingerprint" : "864420466963322ab2cec7e586c45ee1f98557569ce76235d9f9025b381e8b84", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.hubspot.com/careers/jobs/7938038?gh_jid=7938038", "externalId" : "7938038", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Pandas, NumPy, SciPy, Scikit-learn, Nlp libraries, Git, Large Language Models, LLMs, RAG, Java, REST APIs, S3, Docker, Kubernetes, AWS, GCP, Azure", "professionalSkills" : [ "Risk assessment", "Forecasting", "Anomaly detection", "Customer clustering", "Natural language processing", "Gen-AI applications", "Chatbots", "Intelligent agents", "ML model monitoring", "ML lifecycle" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Automation", "Retrieval-augmented generation" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Gen-AI, LLMs", "majorSkillsList" : [ "Data Science", "Machine Learning", "Gen-AI", "LLMs" ], "coreResponsibilities" : "Own end-to-end scalable machine learning models for risk, Apply large language models (LLMs) to create Gen-AI, Support communicate findings through impactful reports and presentations, Establish best practices for data science, Mentor junior analysts, Contribute to the team's professional growth, Collaborate with stakeholders, data scientists and MLEs across, Ingest and transform data into S3 buckets", "teamCollaboration" : "Collaborate with stakeholders; Collaborate with data scientists; Collaborate with MLEs; Collaborate across functional teams", "domainKnowledge" : "FP&A metrics; SAAS economics; Finance concepts", "domainList" : [ "fp-a-metrics", "saas-economics", "finance-concepts" ], "domainSpecificKnowledge" : [ "FP&A metrics", "SAAS economics", "Finance concepts" ], "toolProficiency" : [ "Git", "Docker", "Kubernetes" ], "communicationSkills" : "Communicate complex technical concepts; Impactful reports; Presentations", "innovationCreativity" : "Drive innovation in data technologies", "problemSolvingSkills" : "Solving complex data problems", "qualificationsBasic" : "Bachelor's degree in Data Science, Computer Science, Statistics, Operations Research, or related field required, 4+ years of experience as a Data Scientist or ML Engineer, Demonstrated experience in solving time series forecasting problems, Expert-level proficiency in Python, Proficiency in SQL for data extraction and transformation, Ability to clearly communicate complex technical concepts to business leaders", "qualificationsPreferred" : "Masters preferred, Experience with Large Language Models (LLMs) is a plus, Java experience is nice to have, Experience with generative AI applications such as chatbots or autonomous agents, Proficiency in Java is a HUGE plus, Knowledge of MLOps for managing the ML lifecycle, Experience in cloud platforms (AWS, GCP, or Azure), Containerization (Docker, Kubernetes) is nice to have, Familiarity with FP&A metrics, SAAS economics and finance concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "POS-26832 Sr Data Scientist II - Finance Data Science HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. Our Finance Data Science team drives innovation in data technologies to optimize business opportunities. We are expanding our team and seeking an experienced Senior Data Scientist to make a significant impact. As a Senior Data Scientist on the newly formed Finance data science team, you’ll tackle key business challenges using data science, machine learning and Gen-AI solutions. This role is ideal for someone who enjoys solving complex data problems and collaborating with stakeholders and fellow data scientists. Strong coding skills in Python and SQL for data analysis, statistical modeling, ML and automation are essential. Experience with Large Language Models (LLMs) is a strong plus and any Java experience is nice to have. About the role : Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. Apply large language models (LLMs) to create Gen-AI applications leveraging such as chatbots and intelligent agents to support communicate findings through impactful reports and presentations. Establish best practices for data science, opportunity to mentor junior analysts and contribute to the team's professional growth. Collaborate with stakeholders, data scientists and MLEs across various business groups to develop impactful solutions. About you : Bachelor’s degree in Data Science, Computer Science, Statistics, Operations Research, or related field required. Masters preferred. 4+ years of experience as a Data Scientist or ML Engineer in a fast-paced environment owning end-to-end model lifecycle. Demonstrated experience in solving time series forecasting problems using a variety of techniques, along with delivering a broad range of other ML/AI solutions to address diverse business challenges. Expert-level proficiency in Python, with hands-on experience using key libraries such as Pandas, NumPy, SciPy, scikit-learn & popular nlp libraries along with strong expertise in version control tools like Git. Skilled in ML model monitoring, including tracking performance, detecting drifts and ensuring continuous improvement post-deployment. Experience leveraging large language models (LLMs) and experience with retrieval-augmented generation (RAG) concepts. Strong proficiency in SQL for data extraction and transformation. Ability to clearly communicate complex technical concepts to business leaders through presentations and written memos. Experience leading complex projects and collaborating across functional teams. What Sets You Apart Experience with generative AI applications such as chatbots or autonomous agents. Proficiency in Java is a HUGE plus! Experience working with REST APIs to ingest and transform data into S3 buckets. Knowledge of MLOps for managing the ML lifecycle, with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is nice to have. Familiarity with FP&A metrics, SAAS economics and finance concepts. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $153,800—$246,100 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot Careers Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.", "summaryDescription" : "Sr Data Scientist II- Finance Data Science at HubSpot. Skills: Data Science, Machine Learning, Gen-AI, LLMs. Own end-to-end scalable machine learning models for risk. Apply large language models (LLMs) to create Gen-AI", "postedDate" : "2026-06-15T23:26:13.012", "createdAt" : "2026-06-15T23:26:13.012", "lastUpdated" : "2026-06-16T07:27:35.146", "ingestTimestamp" : "2026-06-15T23:26:13.012", "mongoId" : "6a305a99f292fd229cf5331a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 153800, "salaryAnnualMax" : 246100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning", "Automation", "Retrieval-augmented generation", "Data Science", "Machine Learning", "Gen-AI", "LLMs", "Risk assessment", "Forecasting", "Anomaly detection", "Customer clustering", "Natural language processing", "Gen-AI applications", "Chatbots", "Intelligent agents", "ML model monitoring", "ML lifecycle", "FP&A metrics", "SAAS economics", "Finance concepts", "Git", "Docker", "Kubernetes" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca54074d8ee00a09b569d", "title" : "Knowledge Management Data Steward – Transactions & Regulatory", "company" : "Gibson Dunn", "industry" : "Legal", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, legal industry, and Century City, California location." }, "location" : "Century City", "locations" : [ "Century City", "Dallas", "Denver", "Houston", "Los Angeles", "New York", "Orange County", "Palo Alto", "San Francisco", "Washington", "D.C." ], "timestamp" : "2026-06-16T00:48:52.272", "fingerprint" : "72b3f77ce9bae76d77c1fdd5a30960ecc1b279b58304c0b6c99b6bd81db7ae1f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gibsondunn/jobs/4253456009", "externalId" : "4253456009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Century City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0573590,-118.4146125" } ], "locationText" : "Century City, California, United States", "professionalSkills" : [ "Data stewardship", "Information governance", "Records management" ], "hardSkillsList" : [ "Data auditing", "Data discrepancy identification", "Data inconsistency rectification" ], "hardSkills" : [ { "name" : "Data auditing", "level" : "intermediate" }, { "name" : "Data discrepancy identification", "level" : "intermediate" }, { "name" : "Data inconsistency rectification", "level" : "intermediate" } ], "majorSkills" : "Data stewardship, Corporate Transactions data, Regulatory practices", "majorSkillsList" : [ "Data stewardship", "Corporate Transactions data", "Regulatory practices" ], "coreResponsibilities" : "Serve as primary data steward for Corporate Transactions, Track data across repositories and systems, Conduct regular audits to identify and rectify data, Collaborate with attorneys, practice managers, and business services, Support transactional-centric initiatives through reliable data stewardship", "teamCollaboration" : "Knowledge Management team; Information Governance team; Records Management team; Attorneys; Practice managers; Business services", "domainKnowledge" : "Corporate Transactions; Regulatory practices", "domainList" : [ "corporate-transactions", "regulatory-practices" ], "domainSpecificKnowledge" : [ "Corporate Transactions", "Regulatory practices" ], "qualificationsBasic" : "5+ years data stewardship experience, Experience with Corporate Transactions data", "workSiteFlexibility" : "Remote", "rawDescription" : "Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in any U. S. office, the Knowledge Management Data Steward will be responsible for maintaining the quality, integrity, and consistency of data supporting the firm’s Corporate and Regulatory practices. As part of the Knowledge Management (KM) team, this role partners closely with the Information Governance (IG) and Records Management (RM) teams to ensure that transactional data across internal systems is accurate, secure, and maintained in alignment with firmwide governance protocols. This role will collaborate with attorneys, practice managers, and business services to support transactional-centric initiatives through reliable data stewardship. This role reports to the Knowledge Attorney. Responsibilities include: Serve as primary data steward for Corporate Transactions related data assets across repositories and systems. This includes tracking data for M conduct regular audits to identify and rectify data discrepancies or inconsistencies. Collaborate with Transactional retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses. The application window will close on Monday, August 17, 2026. #LI-Remote #LI-Remote ______ For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible. ______ Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations. If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Knowledge Management Data Steward – Transactions & Regulatory at Gibson Dunn. Skills: Data stewardship, Corporate Transactions data, Regulatory practices. Serve as primary data steward for Corporate Transactions. Track data across repositories and systems", "postedDate" : "2026-06-14T21:01:03.404", "createdAt" : "2026-06-14T21:01:03.404", "lastUpdated" : "2026-06-16T00:48:52.272", "ingestTimestamp" : "2026-06-14T21:01:03.404", "mongoId" : "6a2ca54074d8ee00a09b569d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data auditing", "Data discrepancy identification", "Data inconsistency rectification", "Data stewardship", "Corporate Transactions data", "Regulatory practices", "Information governance", "Records management", "Corporate Transactions" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f13f292fd229cfe4e3e", "title" : "Sr Principal Data Scientist", "company" : "Smartsheet", "industry" : "Technology", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr Principal Data Scientist in India, adjusted for executive seniority and SaaS industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:57:10.373", "fingerprint" : "a47fdd84f1abdd9a6c6bad7c3ae31c23d9dd31bbb39de2f4c75ee09115a7ad98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smartsheet/jobs/8007345", "externalId" : "8007345", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor You Have: Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote", "summaryDescription" : "Sr Principal Data Scientist at Smartsheet", "postedDate" : "2026-06-16T01:15:47.812", "createdAt" : "2026-06-16T01:15:47.812", "lastUpdated" : "2026-06-16T12:57:10.373", "ingestTimestamp" : "2026-06-16T01:15:47.812", "mongoId" : "6a306f13f292fd229cfe4e3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa6f6", "title" : "Sr. Recruiting Manager, Engineering & Data", "industry" : "Recruiting", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Recruiting Manager in Canada, adjusted for manager seniority and the technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T12:32:44.182", "fingerprint" : "d3632910088436f74348075f6fd33abd898bdb881d8d47e9807d1a0f5a5442cf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9b468b42-efb8-4e01-9dbb-94c2a9f29e64/apply", "externalId" : "9b468b42-efb8-4e01-9dbb-94c2a9f29e64", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent acquisition", "Pipeline development", "Offer strategy", "Negotiation", "Stakeholder management" ], "hardSkillsList" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting analytics", "Funnel metrics", "Hiring frameworks", "Recruiting process design", "Offer negotiation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Full-cycle recruiting", "level" : "intermediate" }, { "name" : "Technical recruiting", "level" : "intermediate" }, { "name" : "Data recruiting", "level" : "intermediate" }, { "name" : "Recruiting analytics", "level" : "intermediate" }, { "name" : "Funnel metrics", "level" : "intermediate" }, { "name" : "Hiring frameworks", "level" : "intermediate" }, { "name" : "Recruiting process design", "level" : "intermediate" }, { "name" : "Offer negotiation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Engineering recruiting, Data recruiting, Recruiter management, Hiring strategy", "majorSkillsList" : [ "Engineering recruiting", "Data recruiting", "Recruiter management", "Hiring strategy" ], "coreResponsibilities" : "Own end-to-end recruiting, Manage full lifecycle recruiting, Manage and develop Senior Recruiter, Maintain personal requisition ownership, Build hiring strategies, Execute hiring strategies, Develop proactive pipeline, Partner with leadership, Align on hiring needs, Influence hiring decisions, Ensure hiring process quality, Use recruiting analytics, Use funnel metrics, Use hiring outcomes, Identify bottlenecks, Diagnose recruiting issues, Implement process improvements, Lead offer strategy, Lead negotiation processes, Advise on market trends, Advise on compensation", "teamCollaboration" : "Partner with Engineering leadership; Partner with Data leadership; Align across teams", "domainKnowledge" : "Engineering roles; Data roles; Technical roles; Senior technical talent; Competitive markets", "domainList" : [ "engineering-roles", "data-roles", "technical-roles", "senior-technical-talent", "competitive-markets" ], "domainSpecificKnowledge" : [ "Engineering roles", "Data roles", "Technical roles", "Senior technical talent", "Competitive markets" ], "toolProficiency" : [ "AI recruiting tools" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Professional development support; Learning support; Skill advancement support", "problemSolvingSkills" : "Identify bottlenecks; Diagnose issues; Implement improvements", "outcomesObjectives" : "Improve sourcing efficiency; Improve screening efficiency; Improve evaluation efficiency", "qualificationsBasic" : "8+ years full-cycle recruiting, 2+ years managing recruiters, Partner with senior technical leaders, Structured interviewing expertise, Manage complex negotiations, Analytical mindset, Hands-on AI tools experience, Excellent communication skills, Stakeholder management skills", "qualificationsPreferred" : "Experience with AI tools in recruiting", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own end-to-end recruiting for Engineering and Data roles, managing the full lifecycle from intake through offer closure across multiple seniority levels. Act as a player-coach by directly managing and developing a Senior Recruiter while maintaining personal requisition ownership. Build and execute long-term hiring strategies, including proactive pipeline development for senior and hard-to-fill technical roles. Partner closely with Engineering and Data leadership to align on hiring needs, influence decisions, and ensure hiring process quality and consistency. Use recruiting analytics, funnel metrics, and hiring outcomes to identify bottlenecks, diagnose issues, and implement process improvements. Lead offer strategy and negotiation processes, advising stakeholders on market trends and competitive compensation positioning. Contribute to the adoption of AI-driven recruiting tools and methodologies to improve sourcing, screening, and evaluation efficiency. Requirements: 8+ years of full-cycle recruiting experience, with significant focus on Engineering and/or Data hiring. 2+ years of experience managing recruiters, including coaching, performance management, and workload prioritization. Proven success partnering with senior technical leaders and influencing hiring strategy through data and market insights. Strong expertise in structured interviewing, hiring frameworks, and end-to-end recruiting process design. Demonstrated ability to manage complex negotiations and close senior technical talent in competitive markets. Strong analytical mindset with experience using recruiting metrics to drive measurable improvements. Hands-on experience using AI tools within recruiting workflows, with a clear understanding of where they create leverage. Excellent communication and stakeholder management skills, with the ability to drive alignment across technical and non-technical teams. Benefits: Competitive salary range aligned to Canadian and North American tech markets, with variation based on location and experience. Comprehensive health coverage including medical, dental, and vision benefits. Equity participation as part of the overall compensation package. Flexible work arrangements supporting remote-first or hybrid collaboration models. Performance-based bonus opportunities tied to individual and company outcomes. Strong emphasis on work-life balance, including flexible vacation policies. Support for professional development, learning, and skill advancement. Inclusive, collaborative environment with a strong focus on accessibility and equal opportunity hiring. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr. Recruiting Manager, Engineering & Data. Skills: Engineering recruiting, Data recruiting, Recruiter management, Hiring strategy. Own end-to-end recruiting. Manage full lifecycle recruiting", "postedDate" : "2026-06-15T08:04:33.983", "createdAt" : "2026-06-15T08:04:33.983", "lastUpdated" : "2026-06-16T12:32:44.182", "ingestTimestamp" : "2026-06-16T03:25:46.227", "mongoId" : "6a30511af292fd229cefa6f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting analytics", "Funnel metrics", "Hiring frameworks", "Recruiting process design", "Offer negotiation", "Leadership", "Engineering recruiting", "Recruiter management", "Hiring strategy", "Talent acquisition", "Pipeline development", "Offer strategy", "Negotiation", "Stakeholder management", "Engineering roles", "Data roles", "Technical roles", "Senior technical talent", "Competitive markets", "AI recruiting tools" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa6f5", "title" : "Sr. Recruiting Manager, Engineering & Data", "industry" : "Recruiting", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for manager seniority in the technology industry for a full-time remote role." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:41:22.492", "fingerprint" : "f01dd40c6d6971c9ad6c13d4789548c60e339e2fe981feb74c756964d6b3287e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0089c7a5-72ba-41e3-b937-9ba56e753b77/apply", "externalId" : "0089c7a5-72ba-41e3-b937-9ba56e753b77", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Hiring strategy", "Process improvement", "Offer strategy", "Negotiations", "Market trends", "Closing strategies", "Sourcing workflows", "Screening workflows", "Evaluation workflows" ], "hardSkillsList" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting funnel metrics", "Hiring data analysis", "AI-enabled recruiting" ], "softSkillsList" : [ "Leadership", "Coaching", "Performance management", "Alignment" ], "hardSkills" : [ { "name" : "Full-cycle recruiting", "level" : "intermediate" }, { "name" : "Technical recruiting", "level" : "intermediate" }, { "name" : "Data recruiting", "level" : "intermediate" }, { "name" : "Recruiting funnel metrics", "level" : "intermediate" }, { "name" : "Hiring data analysis", "level" : "intermediate" }, { "name" : "AI-enabled recruiting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Performance management" }, { "name" : "Alignment" } ], "majorSkills" : "Full-cycle recruiting, Technical recruiting, Hiring strategy, Team management", "majorSkillsList" : [ "Full-cycle recruiting", "Technical recruiting", "Hiring strategy", "Team management" ], "coreResponsibilities" : "Own full-cycle recruiting, Manage and develop Senior Recruiter, Maintain active requisition load, Build hiring strategies, Execute hiring pipelines, Partner with leadership, Define hiring priorities, Ensure alignment, Improve hiring outcomes, Use recruiting funnel metrics, Use hiring data, Diagnose challenges, Identify root causes, Implement process improvements, Lead offer strategy, Lead negotiations, Advise stakeholders, Contribute to AI-enabled recruiting, Identify opportunities", "teamCollaboration" : "Partner with leadership; Drive alignment across teams", "domainKnowledge" : "Engineering roles; Data roles; Technical roles; Hard-to-fill roles", "domainList" : [ "engineering-roles", "data-roles", "technical-roles", "hard-to-fill-roles" ], "domainSpecificKnowledge" : [ "Engineering roles", "Data roles", "Technical roles", "Hard-to-fill roles" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Professional development; Learning; Skill growth", "problemSolvingSkills" : "Diagnose challenges; Identify root causes; Data-driven insights", "outcomesObjectives" : "Improve hiring outcomes", "qualificationsBasic" : "8+ years full-cycle recruiting, 2+ years managing recruiters, Partnering with senior technical leaders, Structured interviewing methodologies, End-to-end recruiting process design, Manage complex negotiations, Close senior technical talent, Analytical mindset, Experience using recruiting metrics, Hands-on experience with AI tools, Excellent communication skills, Stakeholder management skills", "qualificationsPreferred" : "AI adds measurable value perspective", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Own full-cycle recruiting for Engineering and Data roles, from intake through offer acceptance, across a wide range of seniority levels. Act as a player-coach by directly managing and developing a Senior Recruiter while maintaining an active requisition load. Build and execute long-term hiring strategies and pipelines for critical and hard-to-fill technical roles. Partner closely with Engineering and Data leadership to define hiring priorities, ensure alignment, and improve hiring outcomes. Use recruiting funnel metrics and hiring data to diagnose challenges, identify root causes, and implement process improvements. Lead offer strategy and negotiations, advising stakeholders on market trends, compensation, and closing strategies. Contribute to the evolution of AI-enabled recruiting practices, identifying opportunities to improve sourcing, screening, and evaluation workflows. Requirements: 8+ years of full-cycle recruiting experience with a strong focus on Engineering and/or Data roles. At least 2+ years of experience managing recruiters, including coaching, performance management, and workload planning. Proven success partnering with senior technical leaders and influencing hiring strategy through data-driven insights. Strong expertise in structured interviewing methodologies and end-to-end recruiting process design. Demonstrated ability to manage complex negotiations and close senior technical talent in competitive markets. Strong analytical mindset with experience using recruiting metrics to drive performance improvements. Hands-on experience with AI tools in recruiting workflows, with a clear perspective on where AI adds measurable value. Excellent communication and stakeholder management skills, with the ability to drive alignment across multiple teams. Benefits: Competitive salary ranges based on location and experience level, with higher bands in major U.S. tech hubs. Comprehensive healthcare coverage, including medical, dental, and vision plans. Flexible work arrangements supporting hybrid or remote-first collaboration depending on team structure. Equity opportunities as part of the overall compensation package. Performance-based incentives and bonus potential tied to company and individual impact. Support for professional development, learning, and continued skill growth. Inclusive and flexible work environment designed to support work-life balance. Commitment to accessibility, diversity, and equal opportunity hiring practices. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr. Recruiting Manager, Engineering & Data. Skills: Full-cycle recruiting, Technical recruiting, Hiring strategy, Team management. Own full-cycle recruiting. Manage and develop Senior Recruiter", "postedDate" : "2026-06-15T08:03:06.338", "createdAt" : "2026-06-15T08:03:06.338", "lastUpdated" : "2026-06-16T11:41:22.492", "ingestTimestamp" : "2026-06-16T03:22:32.525", "mongoId" : "6a30511af292fd229cefa6f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting funnel metrics", "Hiring data analysis", "AI-enabled recruiting", "Leadership", "Coaching", "Performance management", "Alignment", "Hiring strategy", "Team management", "Process improvement", "Offer strategy", "Negotiations", "Market trends", "Closing strategies", "Sourcing workflows", "Screening workflows", "Evaluation workflows", "Engineering roles", "Data roles", "Technical roles", "Hard-to-fill roles", "AI tools" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309beaf292fd229c0f5681", "title" : "Sr. Data Scientist 3", "company" : "Adswerve, Inc", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in the US Technology industry, adjusted for seniority and remote work." }, "location" : "United States ", "locations" : [ "United States" ], "timestamp" : "2026-06-16T15:18:32.639", "fingerprint" : "6e8b66e6f6b89a77902cb00f46c5a2e3bd7121184b29950ab76661cce9670f48", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adswerveinc/jobs/5159193007", "externalId" : "5159193007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "We're an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies think beyond clicks and conversions to unlock new opportunities for growth. We thrive on rolling up our sleeves and digging into the tough stuff for our 800+ clients. And we love getting them the most ROI from their digital marketing. If you’re up for the challenge, join us. Let’s move fearlessly forward together. Adswerve is looking for an aspiring Senior Data Scientist 3 to join the Technical Services team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative communication skills. They will be naturally curious about Generative AI, Agentic AI, data purity, big data analysis, machine learning, and product development, and have demonstrated strengths in data science and data engineering. In addition, this candidate will have a desire to mentor and encourage growth in others and act as leader within the team. Our team of Data Engineers and Data Scientists are responsible for partnering with clients and internal teams to solve complex data-related challenges for some of the biggest brands in the world. We use data discovery and analysis through tools like Google BigQuery, Python Notebooks and Google Data Studio to help our clients create insightful marketing strategies. We live and breathe big data and are passionate about statistics and web application development and testing, and are looking for a like-minded person to join our team. This is not a typical data scientist role. Our work is about consistently solving a multitude of client problems with data engineering, AI, and data science solutions. You’ll learn about data engineering pipelines, big data and marketing data sets and apply your understanding of data science and machine learning concepts. You will be our client’s hero, achieving daily wins by using marketing segmentation, attribution and propensity modeling to surface sophisticated insights out of marketing data warehouses that you help create. Additionally, you will lead technical projects of various sizes and scope related to our clients’ Google Analytics and Google Cloud Platform implementations and ongoing support projects. Our Sr. Data Scientists typically grow their career at Adswerve in one of two directions: tech focus or client / people focus. The tech focus path allows you to solve larger and more complex problems, taking work from clients and turning it into repeatable solutions that we can iterate and improve upon, and scale. The client / people focus path will allow you to grow in project leadership, leading large scale projects and teams of data engineers and data scientists. Responsibilities Typically after a year of on the job training, a Data Scientist 3 on the Technical Services team is able to: Work closely with Data Engineers and Data Scientists to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps Work with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions Identify new solutions that positively impact internal our customers and internal operations Work with the Research Development and Innovation team to develop cutting edge solutions that drive efficiencies, savings or revenue Audit existing datasets for accuracy, reliability and consistency Work with senior team members to identify data models and algorithms to apply to unique client problems Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques Coordinate with internal and client data engineering teams to implement models and supervise outcomes Run technical projects including scope, schedule and resources, tracking progress to ensure successful delivery of project deliverables on time and on budget Oversee work completed by junior team members to ensure timely delivery and quality of work, guiding them to implement standard methodologies in solution development and client relationships Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites Develop applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines Lead and drive projects assigned to completion with attention to detail and high quality Provide technical and developmental support to senior level mentees Establish long term relationships with customers in order to gain and cultivate trust (become their Trusted Advisor) Provide career development suggestions and support to mentees Assist management in team meetings and team planning exercises Communicate goals and deadlines to team members Assist team in meeting monthly KPIs Assist with team resourcing needs and planning Assist with hiring new team members Assess team performance and provide feedback Other duties as assigned Experience College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data science Advanced skills with SQL and Python for advanced analysis required Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data Machine Learning Framework experience Familiar with how JavaScript is used for websites Proven ability to solve complex problems with on-time delivery, the highest quality, and creativity in the approach Experience with and desire to mentor and encourage growth in junior team members Ability to listen and understand business needs and creatively develop solutions Ability to work on a team and manage individual prioritize workload Experience leading fast paced and flexible technical teams Expert in understanding and communicating complex technical solutions and concepts to all levels within a client's organization Strong desire to become a proficient Data Scientist for a fast paced company Our team of 250+ employees is spread out across 26 states and six countries. We keep everyone connected remotely with a team-oriented culture where everyone contributes and feels valued for their skills and unique perspectives. If you want to work alongside the best and brightest analytics minds, we’d love to hear from you. You can get hands-on with the latest ad tech, work with exciting clients and pave the way for new industry processes and advancements. All while working for a company that prioritizes your work-life balance. Plus, we offer full-time Adswerve employees benefits you’ll love: Medical, dental and vision available for employees Paid time off including vacation, sick leave & company holidays Paid volunteer time Flexible working hours Summer Fridays “Work From Home Light” days between Christmas and New Year’s Day 401(k) Plan with 5% company match and no vesting period Employer Paid Parental Leave Health-care Spending Accounts Dependent-care Spending Accounts Employer Paid Basic Life Insurance Voluntary Life Insurance (Employee/Spouse/Child) Employer Paid Short & Long Term Disability Employee Assistance Program (EAP) Continuing Education Reimbursement Employee Referral Bonus Program Monthly Remote Work Stipend New Hire Office Equipment Reimbursement Adswerve is an Equal Opportunity and E-Verify Employer. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, physical or mental disability, medical condition, gender identity, gender expression, results of genetic testing, service in the military, or on any other basis that would be in violation of any applicable federal, state, or local law. Adswerve will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. If you require assistance with your application, please reach out to careers@adswerve.com Screening of Applications Begins: Immediately and will continue until the position is filled. For best consideration, please apply ASAP! Recruitment Agencies: We are not utilizing external 3rd party recruitment agencies for this search. Should those needs change, we will seek your assistance directly.", "summaryDescription" : "Sr. Data Scientist 3 at Adswerve, Inc", "postedDate" : "2026-06-16T03:16:30.935", "createdAt" : "2026-06-16T03:16:30.935", "lastUpdated" : "2026-06-16T15:18:32.639", "ingestTimestamp" : "2026-06-16T03:16:30.935", "mongoId" : "6a309beaf292fd229c0f5681", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308009f292fd229c060e31", "title" : "Senior AML Manager", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 780000.0, "max" : 1300000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AML Manager in Hong Kong, adjusted for FinTech industry and manager seniority." }, "location" : "Hong Kong SAR", "locations" : [ "Hong Kong SAR" ], "timestamp" : "2026-06-16T11:01:16.252", "fingerprint" : "93107ffdb2e7c7a6fefffe5b01a8ea296530741b6c276378afd1825d0009baf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4877264101", "externalId" : "4877264101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "state" : "Hong Kong SAR", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong SAR, China", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Financial crime operations" ], "hardSkillsList" : [ "Name screening", "KYC workflows" ], "hardSkills" : [ { "name" : "Name screening", "level" : "intermediate" }, { "name" : "KYC workflows", "level" : "intermediate" } ], "majorSkills" : "AML operations, KYC, Name screening", "majorSkillsList" : [ "AML operations", "KYC", "Name screening" ], "coreResponsibilities" : "Manage daily KYC operations, Manage daily name screening operations, Allocate cases, Schedule operations, Plan capacity, Lead AML Specialists team, Coach AML Specialists team, Act as escalation point, Review work quality, Run QA checks, Run QC checks, Drive fixes for gaps, Oversee KYC workflows, Oversee name screening workflows, Ensure work follows policies, Ensure work follows procedures, Ensure work follows regulatory requirements, Monitor volumes, Monitor turnaround times, Monitor productivity, Adjust resources, Maintain procedures, Ensure audit readiness, Support internal reviews, Support external reviews, Improve tools, Improve workflows, Improve controls", "teamCollaboration" : "Work with Compliance teams; Work with Risk teams; Work with Product teams", "domainKnowledge" : "AML; KYC; Financial crime", "domainList" : [ "aml", "kyc", "financial-crime" ], "domainSpecificKnowledge" : [ "AML", "KYC", "Financial crime" ], "continuousLearning" : "Study Growth Fund", "qualificationsBasic" : "Bachelor's degree, 5+ years AML/KYC experience, Team leadership experience, Hands-on KYC experience, Hands-on name screening experience", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Summary The Senior AML Manager runs the day to day AML operations and directly manages the AML Specialists. This is a hands on role responsible for delivery, scheduling, quality, and continuous improvement of AML operations. Key Responsibilities Manage daily KYC and name screening operations, including case allocation, scheduling, and capacity planning. Lead and coach the AML Specialists team, and act as the escalation point for complex cases. Review work quality, run QA and QC checks, and drive fixes where gaps are identified. Oversee end to end KYC and name screening workflows, and ensure work is performed in line with policies, procedures, and regulatory requirements Monitor volumes, turnaround times, and productivity, and adjust resources as needed. Maintain procedures, ensure audit readiness, and support internal and external reviews. Work with Compliance, Risk, and Product teams to improve tools, workflows, and controls. Qualifications and Experience Bachelor’s degree in a relevant field. 5+ years of experience in AML, KYC, or financial crime operations, including team leadership. Strong hands on experience with KYC and name screening workflows. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Senior AML Manager at Bybit. Skills: AML operations, KYC, Name screening. Manage daily KYC operations. Manage daily name screening operations", "postedDate" : "2026-06-16T01:17:12.195", "createdAt" : "2026-06-16T01:17:12.195", "lastUpdated" : "2026-06-16T11:01:16.252", "ingestTimestamp" : "2026-06-16T01:17:12.195", "mongoId" : "6a308009f292fd229c060e31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Name screening", "KYC workflows", "AML operations", "KYC", "Financial crime operations", "AML", "Financial crime" ], "skillCount" : 7, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d725674d8ee00a0be82ad", "title" : "Associate Data Governance Analyst", "company" : "American Century Investments", "industry" : "Banking", "salary" : { "min" : 2.0, "max" : 2.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Kansas City, Missouri", "locations" : [ "Kansas City, Missouri", "United States of America" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T02:25:10.409", "fingerprint" : "7c1b72e1fe0c5b7e12058b6714b91de0ba90fa11017957102340ce03dfa305c6", "source" : "workday", "language" : "en", "applyUrl" : "https://americancentury.wd5.myworkdayjobs.com/AmericanCenturyInvestments/job/Kansas-City-Missouri/Associate-Data-Governance-Analyst_R0005661", "externalId" : "R0005661", "industryFunction" : { }, "locationPoint" : "39.09973,-94.57857", "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.1001050,-94.5781416" } ], "locationText" : "Kansas City, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data governance", "Data quality", "Data lineage", "Metadata management", "Data stewardship", "Data architecture", "Data modeling", "ETL processes", "Data warehousing", "Database management", "Data analysis", "Statistical modeling", "Machine learning algorithms", "Data visualization", "Cloud computing", "Big data technologies", "Programming", "Scripting", "Problem solving", "Critical thinking" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data stewardship", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Big data technologies", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" }, { "name" : "Critical thinking", "level" : "intermediate" } ], "majorSkills" : "Data governance, Data quality, Data lineage, Metadata management", "majorSkillsList" : [ "Data governance", "Data quality", "Data lineage", "Metadata management" ], "coreResponsibilities" : "Develop and implement data governance policies, Establish data quality standards, Define data lineage tracking processes, Manage metadata repositories, Oversee data stewardship activities, Ensure compliance with data regulations, Collaborate with stakeholders on data initiatives, Provide guidance on data best practices", "teamCollaboration" : "Cross-functional teams; Data stewards; Business stakeholders; IT teams", "domainKnowledge" : "Financial services; Investment management; Regulatory compliance", "domainList" : [ "financial-services", "investment-management", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Financial services", "Investment management", "Regulatory compliance" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Policy communication; Stakeholder engagement", "documentationSkills" : "Policy documentation; Data dictionary; Data catalog", "problemSolvingSkills" : "Data quality issues; Data governance challenges", "outcomesObjectives" : "Improve data quality; Enhance data understanding; Ensure regulatory compliance", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "# **About Us** American Century Investments® is a leading global asset manager with over 65 years of experience helping a broad base of clients achieve their financial goals. Our expertise spans global equities and fixed income, multi-asset strategies, ETFs, and private investments. Privately controlled and independent, we focus solely on investment management. But there’s an unexpected side to us, too. We direct 40% of our dividends every year—over $2 billion since 2000—to the Stowers Institute for Medical Research. Our ongoing financial support drives the Institute’s breakthrough work and mission of defeating life-threatening diseases like cancer and Alzheimer’s. So, the better we do for our clients, the more we can do for everyone. All 1,400 of us across the globe are inspired every day by the unique difference our hard work can make in so many lives. It shows in the curiosity we bring to every initiative, the deep relationships we build with our clients, and the way we treat each other in the hallway. If you’re excited to learn more about us, we can’t wait to learn more about you. # **Role Summary** Are you a **Associate****Data Governance Analyst** passionate about making unstructured data trusted, compliant, and AI‑ready? In this role, you’ll partner with business and technology teams to support and help scale enterprise‑wide governance efforts that enable unstructured content to be safely leveraged for business operations, analytics, and AI. You’ll join our Enterprise Data Governance team and help support the design and scaling of governance programs and assist in implementing governance practices with a strong focus on unstructured metadata management, information lifecycle management, records and retention, security standards, cataloging, and stewardship enablement. You’ll work closely with structured data teams where needed to ensure consistent, end‑to‑end governance. Success in this role requires the ability to execute the data governance operating model, leverage governance tools to support automation, and contribute to solving business challenges such as content sprawl, data discoverability, sensitivity labeling, retention and disposition, legal hold, and regulatory compliance across unstructured data (e.g., documents, emails, chat content, PDFs, presentations, and images). You’ll collaborate with stakeholders to help translate governance concepts for business audiences and contribute to scalable solutions, with guidance from senior team members. This hybrid position will be based out of our Kansas City, MO office. This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without visa sponsorship, now or in the future. # **How You Will Make an Impact** ## **Data Governance & Unstructured Data Enablement** * Execute the firm’s data governance operating model by partnering with business and technology teams to implement enterprise policies and standards across unstructured data (primary focus) and structured data (secondary), including data used for AI and advanced analytics. * Support and help monitor the rollout of unstructured data governance practices across key content repositories (e.g., SharePoint/Teams, file shares, and cloud content platforms), ensuring metadata quality, accurate classification and sensitivity labeling, retention readiness, and AI fitness. * Ensure unstructured data complies with regulatory, legal, privacy, and records‑management requirements throughout the information lifecycle. * Support governance oversight activities for Data Domain teams, including review of data maps, content inventories, metadata documentation, data quality issues, access and security controls, SLAs, and audit, retention, and legal‑hold readiness. * Partner with Data Owners, Data Stewards, and technology teams to support the design and implementation of workflows, dashboards, and automation for unstructured data classification, metadata generation, retention controls, access governance, and eDiscovery readiness. * Support governance enablement through training by partnering with HR Learning & Development to curate and deliver Data Governance, Data Stewardship, and tool‑specific education. * Support Collibra administration and help drive user adoption, including assisting with training and onboarding users, and promoting consistent, effective use of governance tooling. * Collaborate with governance technology vendors and support discussions on roadmap enhancements related to unstructured metadata, classification, lineage, and policy enforcement. * Support the management and maintenance of internal data products, including unstructured content repositories and AI‑ready metadata assets (e.g., taxonomies, labels, ownership, and classification outputs), coordinating with structured data teams when shared reference data is required. ### ## **Unstructured Data & AI‑Ready Enablement** * Partner with data platform and cloud engineering teams to contribute to defining governance guardrails for AWS‑based processes that automatically extract, enrich, and register unstructured metadata to support AI‑ready data. * Support efforts to ensure governance standards are embedded into automated pipelines for classification, lineage, retention, and access controls are embedded into automated unstructured metadata pipelines by design. * Support the enablement of trusted use of unstructured data in AI, analytics, and retrieval‑augmented generation (RAG) solutions by ensuring data is discoverable, governed, and approved through appropriate stewardship workflows. * Collaborate with AI, analytics, and data product teams to align unstructured data governance with AI intake, risk assessment, and inventory processes, ensuring clear traceability between data assets, use cases, and controls. * Assist in translating AI‑ready data requirements into scalable, repeatable governance patterns that can be consistently applied across domains and development teams. # **What You Bring to the Team (Required)** * Bachelor’s degree or equivalent combination of education and relevant work experience. * 2+ years of experience in data governance, data management, or data operations including exposure to classification, tagging, retention, and access controls. * Strong communication skills, with the ability to translate complex data governance concepts for both business and technical audiences. * Proven problem solver with an analytical, methodical approach and comfort operating in dynamic, fast‑paced, and ambiguous environments. * Demonstrated ability to collaborate effectively and communicate clearly with stakeholders at all levels of the organization. * Demonstrates the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven. # **Additional Assets (Preferred)** * Experience governing unstructured metadata and content controls (e.g., sensitivity labels, classification, tagging, retention schedules), with the ability to align to structured metadata standards as needed. * Experience governing unstructured data in platforms such as SharePoint, Teams, file shares, or cloud content repositories. * Experience using data governance or cataloging tools (e.g., Collibra, Informatica, IBM IGC) for content inventory, data mapping, metadata management, and traceability. * Familiarity with AI‑ready data concepts, including governance of unstructured data used in AI, search, and RAG‑based solutions. * Experience with information lifecycle management, records management, and legal hold processes. * Familiarity with data security and data protection principles. * Background in policy and standards development for data classification and retention. * Experience in financial services or asset management environments. * Familiarity with cloud technologies and automation supporting unstructured data governance. * Project Management, Agile, or Six Sigma skills. * Experience with Python and SQL. The above statements are not intended to be a complete list of all responsibilities, duties, and skills required. # **What We Offer** * Competitive compensation package with bonus plan * Generous PTO and competitive benefits * 401k with 5% company match plus annual performance-based discretionary contribution * Tuition reimbursement, formal mentorship program, live and online learning [Learn more about our benefits and perks.](https://www.americancentury.com/about/careers/benefits-and-perks/) Employees are required to be in the office on a scheduled frequency. Adherence to this schedule is essential to fulfilling the expectations of the role. American Century Investments is committed to complying with the Americans with Disabilities Act and all other applicable Equal Employment Opportunity laws and regulations. As such, American Century strives to provide a reasonable accommodation to any qualified individual under the ADA to perform essential job functions. We encourage people of all backgrounds to join us on our mission. If you require reasonable accommodation for any aspect of the recruitment process, please send a request to HR-Talent_Acquisition@americancentury.com. All requests for accommodation will be addressed as confidentially as practicable. American Century Investments believes all individuals are entitled to equal employment opportunity and advancement opportunities without regard to race, religious creed, color, sex, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age for individuals forty years of age and older, military and veteran status, sexual orientation, and any other basis protected by applicable federal, state and local laws. ACI does not discriminate or adopt any policy that discriminates against an individual or any group of individuals on any of these bases. #LI-Hybrid American Century Proprietary Holdings, Inc. All rights reserved.", "summaryDescription" : "Associate Data Governance Analyst at American Century Investments. Skills: Data governance, Data quality, Data lineage, Metadata management. Develop and implement data governance policies. Establish data quality standards", "postedDate" : "2026-06-13T19:44:32.638", "createdAt" : "2026-06-14T19:44:32.625", "lastUpdated" : "2026-06-16T02:25:10.409", "ingestTimestamp" : "2026-06-14T19:44:32.625", "mongoId" : "6a2d725674d8ee00a0be82ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://americancentury.wd5.myworkdayjobs.com/AmericanCenturyInvestments/job/Kansas-City-Missouri/Associate-Data-Governance-Analyst_R0005661", "salaryAnnualMin" : 4160, "salaryAnnualMax" : 4160, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Data governance", "Data quality", "Data lineage", "Metadata management", "Data stewardship", "Data architecture", "Data modeling", "ETL processes", "Data warehousing", "Database management", "Data analysis", "Statistical modeling", "Machine learning algorithms", "Data visualization", "Cloud computing", "Big data technologies", "Programming", "Scripting", "Problem solving", "Critical thinking", "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Financial services", "Investment management", "Regulatory compliance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca5bb74d8ee00a09b7e68", "title" : "Compliance Manager (AMLRO & Data Protection Supervisor)", "company" : "Ezra", "industry" : "FinTech", "salary" : { "min" : 215000.0, "max" : 345000.0, "currency" : "GHS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the FinTech industry in Ghana, adjusted for seniority and onsite work mode." }, "location" : "Ghana", "locations" : [ "Ghana" ], "certifications" : [ "CAMS", "ICA International Diploma in Anti-Money Laundering", "CDPS", "CIPP/E", "CIPM", "CIPP/A", "CIPT", "CDPO" ], "timestamp" : "2026-06-15T23:33:43.544", "fingerprint" : "11b2bfe8510d694bdcdf5552c4cb071a9c5d169b2c2b6639988846ae28ab62dd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ezra.world/company/careers/7234021003?gh_jid=7234021003", "externalId" : "7234021003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ghana", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Ghana", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Regulatory compliance", "Policy development", "Data governance", "Risk assessment", "Compliance testing", "Remediation plans", "Management reporting", "Training delivery", "Awareness programs" ], "hardSkillsList" : [ "AML/CFT", "Data protection laws", "Privacy laws", "ISO 27001:2022 standards", "GDPR", "DPIAs", "Data breach investigations" ], "hardSkills" : [ { "name" : "AML/CFT", "level" : "intermediate" }, { "name" : "Data protection laws", "level" : "intermediate" }, { "name" : "Privacy laws", "level" : "intermediate" }, { "name" : "ISO 27001:2022 standards", "level" : "intermediate" }, { "name" : "GDPR", "level" : "intermediate" }, { "name" : "DPIAs", "level" : "intermediate" }, { "name" : "Data breach investigations", "level" : "intermediate" } ], "majorSkills" : "AMLRO, Data Protection Supervisor, Compliance oversight, Regulatory liaison", "majorSkillsList" : [ "AMLRO", "Data Protection Supervisor", "Compliance oversight", "Regulatory liaison" ], "coreResponsibilities" : "Maintain and operate compliance policies, Maintain AML/CFT policies, Maintain accurate records of AML activities, Conduct periodic AML risk assessments, Monitor suspicious transactions, Investigate suspicious transactions, File suspicious activity reports, Oversee day-to-day AML operations, Liaise with relevant regulators, Maintain data protection policies, Maintain data protection procedures, Conduct DPIAs, Maintain records of data processing activities, Maintain records of data processing policies, Maintain records of data processing incidents, Adapt company policies, Manage data breach investigations, Report data breaches to authorities, Report data breaches to individuals, Advise on new projects, Advise on new products, Advise on new technologies, Ensure privacy by design, Handle data subject requests, Handle data access requests, Handle rectification requests, Handle erasure requests, Handle objections, Serve as Data Protection Supervisor, Liaise for data protection authorities, Ensure licensing obligations are met, Ensure Bank of Ghana reporting obligations are met, Support internal controls, Support periodic compliance testing, Support remediation plans, Support management reporting, Deliver quarterly training programs, Deliver awareness programs, Embed data protection into business, Embed AML into business", "teamCollaboration" : "Cross-functional collaboration; Collaborate with legal; Collaborate with IT; Collaborate with product development", "domainKnowledge" : "Anti-Money Laundering (AML); Counter-Financing of Terrorism (CFT); Data Protection; GDPR; ISO 27001:2022; Bank of Ghana regulations; FinTech industry; Financial services industry", "domainList" : [ "anti-money-laundering-aml", "counter-financing-of-terrorism-cft", "data-protection", "gdpr", "iso-27001-2022", "bank-of-ghana-regulations", "fintech-industry", "financial-services-industry" ], "domainSpecificKnowledge" : [ "Anti-Money Laundering (AML)", "Counter-Financing of Terrorism (CFT)", "Data Protection", "GDPR", "ISO 27001:2022", "Bank of Ghana regulations", "FinTech industry", "Financial services industry" ], "documentationSkills" : "Record keeping", "qualificationsBasic" : "6+ years of experience in AML, data protection, and compliance roles, Demonstrable understanding of global standards, laws and regulation for AML and data protection, Proven experience in developing and implementing compliance, AML and data protection frameworks, policies, and procedures, Proficiency in conducting DPIA, Proficiency in managing data breach incidents, Proficiency in liaising with regulators", "qualificationsPreferred" : "Bachelor's degree in Law preferred, Experience in FinTech or financial services industry preferred, Fluency in French highly advantageous, Experience working with large-scale data processing systems and technologies", "rawDescription" : "Job Summary: This role is responsible for maintaining and operating the company’s Anti-Money Laundering (AML) and data protection practices and policies across Africa, the Middle East, and Asia. Serving as the officially appointed AMLRO, this role is considered a Key Management Personnel (KMP) position under Bank of Ghana regulatory requirements. The position also acts as the designated Data Protection Supervisor across the company, so the successful candidate will have demonstrable experience across compliance, AML, and data protection with suitable qualifications. Through cross-functional collaboration, the successful candidate will embed compliance practices into business operations, ensuring standards and procedures meet relevant regulatory requirements, local privacy laws, and uphold ISO 27001:2022 standards. Key responsibilities: AMLRO: Maintain and operate the company’s compliance policies including AML/CFT in line with applicable local and international regulatory requirements in Africa, the Middle East, and Asia. Maintain accurate records of all AML activities, including periodic AML risk assessments. Monitor and investigate suspicious transactions, and ensure timely and accurate filing of suspicious activity. Serve as the officially designated AMLRO, responsible for oversight of the day-to-day AML operations, and as the primary liaison with relevant regulators. Data Protection Governance: Maintain the company’s data protection policies and procedures in accordance with ISO 27001:2022, GDPR, and applicable local privacy laws across Africa, the Middle East, and Asia. Conduct DPIAs and maintain accurate records of data processing activities, policies, and incidents. Stay up-to-date with changes in data protection laws and best practices, adapting the company policies accordingly. Manage data breach investigations, reporting to relevant authorities and affected individuals as required. Advisor for new projects, products and technologies, ensuring privacy by design. Serve as the primary contact point for data subjects regarding their data protection rights, handling data access requests, rectification, erasure, and objections. Serve as the officially appointed Data Protection Supervisor and liaison for data protection authorities across the company’s markets. Governance and Regulatory Compliance: Ensure licensing and Bank of Ghana reporting obligations are met, remaining up-to-date with changes in regulatory landscape. Support internal controls, periodic compliance testing, remediation plans and management reporting. Deliver quarterly training and awareness programs to employees on compliance topics including AML and data protection principles, policies, and best practices. Collaborate with legal, IT, product development, and other departments to embed data protection and AML into all aspects of the business, from loan requests to data analytics. Qualifications and Experience: A Bachelor's degree in Law is preferred, but someone with a degree in a relevant field will be considered. 6+ years of experience in AML, data protection, and compliance roles, preferably within the FinTech or financial services industry. Professional certification in Anti-Money Laundering (e.g., CAMS, ICA International Diploma in Anti-Money Laundering). Professional certification in data protection (e.g., CDPS, CIPP/E, CIPM, CIPP/A, CIPT, CDPO). Strong demonstrable understanding of global standards, laws and regulation for AML and data protection. Proven experience in developing and implementing compliance, AML and data protection frameworks, policies, and procedures. Proficiency in conducting DPIA, managing data breach incidents, liaising with regulators. Preferred Qualifications: Fluency in French would be highly advantageous. Experience working with large-scale data processing systems and technologies. Company overview: Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE. Our flagship products are Airtime Credit Services (ACS), Nano and BNPL. ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit. Nano is a micro cash advance offered to mobile wallet users on demand. BNPL facilitates payment installments for products and services As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing. Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure. But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.", "summaryDescription" : "Compliance Manager (AMLRO & Data Protection Supervisor) at Ezra. Skills: AMLRO, Data Protection Supervisor, Compliance oversight, Regulatory liaison. Maintain and operate compliance policies. Maintain AML/CFT policies", "postedDate" : "2026-06-14T19:09:29.522", "createdAt" : "2026-06-14T19:09:29.522", "lastUpdated" : "2026-06-15T23:33:43.544", "ingestTimestamp" : "2026-06-14T19:09:29.522", "mongoId" : "6a2ca5bb74d8ee00a09b7e68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AML/CFT", "Data protection laws", "Privacy laws", "ISO 27001:2022 standards", "GDPR", "DPIAs", "Data breach investigations", "AMLRO", "Data Protection Supervisor", "Compliance oversight", "Regulatory liaison", "Risk management", "Regulatory compliance", "Policy development", "Data governance", "Risk assessment", "Compliance testing", "Remediation plans", "Management reporting", "Training delivery", "Awareness programs", "Anti-Money Laundering (AML)", "Counter-Financing of Terrorism (CFT)", "Data Protection", "ISO 27001:2022", "Bank of Ghana regulations", "FinTech industry", "Financial services industry", "CAMS", "ICA International Diploma in Anti-Money Laundering", "CDPS", "CIPP/E", "CIPM", "CIPP/A", "CIPT", "CDPO" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306d0cf292fd229cfd7090", "title" : "Sr. Engineer - Data Security", "company" : "Wynn Resorts", "industry" : "Gambling And Casinos", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer - Data Security in Las Vegas, adjusted for the hospitality industry and company size." }, "location" : "Las Vegas, NV, United States", "locations" : [ "Las Vegas", "NV", "United States" ], "timestamp" : "2026-06-16T10:39:43.419", "fingerprint" : "a04b7a7b110a477f722ca55ba73dfd6c68f9021c0986e37a065bd23b0f5f39bd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WynnResorts/744000132235179-sr-engineer-data-security", "externalId" : "744000132235179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Las Vegas", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1674263,-115.1484131" } ], "locationText" : "Las Vegas, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "The Sr. Engineer – Data Security is responsible for technical design and execution of the Data Security Program for Wynn Resorts. Reporting to the Executive Director of Information Security, this role will be key in assuring effective enforcement of company data processing policy and utilization of advanced data security control systems. Job Responsibilities * Operationalize company policies regarding storage, transmission, and destruction of data. * Operationalize company policies regarding classification of data with appropriate levels of access by user, device, and location. * Develop procedures, guidelines, and implementation of necessary tools to operationalize and enforce the corporate data classification and data loss prevention program. * Apply sensitivity labels to unstructured files to ensure proper classification and protection of critical information. * Enforce technical and procedural controls to govern and restrict the movement of sensitive data within and outside the organization. * Recommend, implement, and manage procedures and tools for data protection, retention, and lifecycle management in accordance with regulatory and internal standards. * Continuously monitor Wynn-hosted structured data systems to ensure compliance against company security standards (encryption, obfuscation, privileged access, etc.). * Ensure the encryption of sensitive data, both at rest and in transit, across all relevant systems and platforms. * Restrict the use of production data strictly to its intended environment, preventing unauthorized access or replication in non-production areas. * Maintain and update inventories of applications and systems that store or process sensitive data. * Map access to sensitive data, monitoring permissions, roles, and user activity to support robust access control and auditing. * Develop metrics for the department and opportunities for improvement. * Other duties as assigned. ## Qualifications * College diploma or university degree in computer/data science or IT management and/or 7 years of equivalent work experience * Hands-on experience and practical understanding of unstructured data storage systems is required, including Network-Attached Storage systems, SMB/CIFS shares, and cloud-based file collaboration systems (Google Drive, OneDrive, Box, etc.) * Unstructured: Understanding of volume shadow copies / previous versions, immutable backups, etc. * Hands-on experience and practical understanding of structured data storage and processing systems is required, including on premises and cloud-based Database Management Systems (MySQL, MSSQL, OracleDB, etc.) * Practical understanding of permissions, roles, groups, users, and Non-Human Identity (NHI) as it relates to authorized and unauthorized access to sensitive data in various applications, SaaS, file shares (NTFS permissions), etc. * Ability to create and manage high quality and accurate documentation is a must * Excellent written and oral communication and presentation skills for leadership, technical, and business audiences * General ability to pull data from database tables, database views, application sources, and other data stores for the purpose of compliance reporting * Understanding of database table relationships, primary/foreign key handling, and broad effects of modifying, manipulating, or deleting data in a DBMS is preferred * Understanding of structured data recovery techniques, transaction log handling, database replication, immutable backups, etc. is preferred * Understanding of the fundamentals of data minimization and electronic records management is preferred * Familiarity with industry standard tools for Data Loss Prevention, Sensitivity Labeling, and Record Identification is preferred * Understanding of project management principles including problem statements, use cases, success criteria, is preferred * High level of personal integrity and ability to show an appropriate level of judgment and maturity * Poise and ability to act calmly and competently in high-pressure, high-stress situations * Must be a critical thinker with strong problem-solving skills * Detail oriented, self-motivated and disciplined, with excellent time management skills ## Additional Information Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws.", "summaryDescription" : "Sr. Engineer - Data Security at Wynn Resorts", "postedDate" : "2026-06-15T15:33:28.000", "createdAt" : "2026-06-16T00:00:20.646", "lastUpdated" : "2026-06-16T10:39:43.419", "ingestTimestamp" : "2026-06-16T00:00:20.646", "mongoId" : "6a306d0cf292fd229cfd7090", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3062e9f292fd229cf9bada", "title" : "Sr. Engineer - Data Security", "company" : "Wynn Resorts", "industry" : "Gambling And Casinos", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer - Data Security in Las Vegas, adjusted for the hospitality industry and company size." }, "location" : "Las Vegas, NV, United States", "locations" : [ "Las Vegas", "NV", "United States" ], "timestamp" : "2026-06-16T09:40:55.327", "fingerprint" : "cb6f08e5738f53ee11e4430ca916b6996eafc86cb8ac640b6b9ca541b894ab5c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WynnResorts/744000132235179-sr-engineer-data-security", "externalId" : "744000132235179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Las Vegas", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1674263,-115.1484131" } ], "locationText" : "Las Vegas, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "The Sr. Engineer – Data Security is responsible for technical design and execution of the Data Security Program for Wynn Resorts. Reporting to the Executive Director of Information Security, this role will be key in assuring effective enforcement of company data processing policy and utilization of advanced data security control systems. Job Responsibilities * Operationalize company policies regarding storage, transmission, and destruction of data. * Operationalize company policies regarding classification of data with appropriate levels of access by user, device, and location. * Develop procedures, guidelines, and implementation of necessary tools to operationalize and enforce the corporate data classification and data loss prevention program. * Apply sensitivity labels to unstructured files to ensure proper classification and protection of critical information. * Enforce technical and procedural controls to govern and restrict the movement of sensitive data within and outside the organization. * Recommend, implement, and manage procedures and tools for data protection, retention, and lifecycle management in accordance with regulatory and internal standards. * Continuously monitor Wynn-hosted structured data systems to ensure compliance against company security standards (encryption, obfuscation, privileged access, etc.). * Ensure the encryption of sensitive data, both at rest and in transit, across all relevant systems and platforms. * Restrict the use of production data strictly to its intended environment, preventing unauthorized access or replication in non-production areas. * Maintain and update inventories of applications and systems that store or process sensitive data. * Map access to sensitive data, monitoring permissions, roles, and user activity to support robust access control and auditing. * Develop metrics for the department and opportunities for improvement. * Other duties as assigned. ## Qualifications * College diploma or university degree in computer/data science or IT management and/or 7 years of equivalent work experience * Hands-on experience and practical understanding of unstructured data storage systems is required, including Network-Attached Storage systems, SMB/CIFS shares, and cloud-based file collaboration systems (Google Drive, OneDrive, Box, etc.) * Unstructured: Understanding of volume shadow copies / previous versions, immutable backups, etc. * Hands-on experience and practical understanding of structured data storage and processing systems is required, including on premises and cloud-based Database Management Systems (MySQL, MSSQL, OracleDB, etc.) * Practical understanding of permissions, roles, groups, users, and Non-Human Identity (NHI) as it relates to authorized and unauthorized access to sensitive data in various applications, SaaS, file shares (NTFS permissions), etc. * Ability to create and manage high quality and accurate documentation is a must * Excellent written and oral communication and presentation skills for leadership, technical, and business audiences * General ability to pull data from database tables, database views, application sources, and other data stores for the purpose of compliance reporting * Understanding of database table relationships, primary/foreign key handling, and broad effects of modifying, manipulating, or deleting data in a DBMS is preferred * Understanding of structured data recovery techniques, transaction log handling, database replication, immutable backups, etc. is preferred * Understanding of the fundamentals of data minimization and electronic records management is preferred * Familiarity with industry standard tools for Data Loss Prevention, Sensitivity Labeling, and Record Identification is preferred * Understanding of project management principles including problem statements, use cases, success criteria, is preferred * High level of personal integrity and ability to show an appropriate level of judgment and maturity * Poise and ability to act calmly and competently in high-pressure, high-stress situations * Must be a critical thinker with strong problem-solving skills * Detail oriented, self-motivated and disciplined, with excellent time management skills ## Additional Information Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws.", "summaryDescription" : "Sr. Engineer - Data Security at Wynn Resorts", "postedDate" : "2026-06-15T15:33:28.000", "createdAt" : "2026-06-15T23:48:37.702", "lastUpdated" : "2026-06-16T09:40:55.327", "ingestTimestamp" : "2026-06-15T23:48:37.702", "mongoId" : "6a3062e9f292fd229cf9bada", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087a4f292fd229c08b1f8", "title" : "Business Analyst, Data Masking and Compliance", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 118000.0, "max" : 152000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada - Toronto", "locations" : [ "Canada - Toronto" ], "timestamp" : "2026-06-16T12:32:44.174", "fingerprint" : "f519232f48132c719665d37d19932956dfa1532fec2df391bf8a340f99776803", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003346", "externalId" : "8003346", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data governance", "Risk remediation", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement" ], "hardSkillsList" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics" ], "hardSkills" : [ { "name" : "Data masking standards", "level" : "intermediate" }, { "name" : "Evidence collection", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Governance metrics", "level" : "intermediate" } ], "majorSkills" : "Data masking, Compliance, Risk remediation, Data governance", "majorSkillsList" : [ "Data masking", "Compliance", "Risk remediation", "Data governance" ], "coreResponsibilities" : "Assess applications against data masking standards, Identify compliance gaps, Identify remediation requirements, Partner with application owners, Understand application processes, Understand data flows, Understand masking requirements, Design evidence collection processes, Implement evidence collection processes, Demonstrate compliance through objective testing, Facilitate stakeholder discussions, Align business requirements with standards, Support adoption of required controls, Create compliance reporting, Track status, Generate governance metrics", "teamCollaboration" : "Partnering with stakeholders; Bridging business and technology teams; Application owners; Business stakeholders; Senior stakeholders", "projectManagementSkills" : [ "Audit remediation" ], "domainKnowledge" : "Data masking; Data governance; Banking; Payments; Enterprise technology; Risk management; Operational risk", "domainList" : [ "data-masking", "data-governance", "banking", "payments", "enterprise-technology", "risk-management", "operational-risk" ], "domainSpecificKnowledge" : [ "Data masking", "Data governance", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development; Industry-leading expertise", "problemSolvingSkills" : "Translating standards; Practical requirements", "outcomesObjectives" : "Strengthen data governance practices; Contribute to risk remediation program", "qualificationsBasic" : "Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services, Stakeholder management and communication skills, Ability to understand business processes, Experience performing data analysis, Process design, process engineering, or operational improvement experience", "qualificationsPreferred" : "Experience with data masking, Experience with data protection, Experience with privacy controls, Experience with information security programs, Knowledge of banking, Knowledge of payments, Knowledge of enterprise technology environments, Familiarity with audit remediation programs, Familiarity with regulatory examinations, Familiarity with control testing frameworks, Experience designing governance reporting, Experience designing compliance dashboards, Experience designing executive-level status reporting, Understanding of risk management frameworks, Understanding of operational risk practices", "rawDescription" : "Drive Enterprise Risk Remediation Through Data Governance Excellence The Role Capco is seeking a Business Analyst, Data Masking and Compliance to support a critical enterprise audit remediation initiative within a leading financial institution. This newly created role will focus on assessing application compliance against enterprise data masking standards, partnering with stakeholders to drive adoption, and establishing sustainable evidence collection and reporting processes. You will play a key role in bridging business and technology teams, helping application owners understand compliance requirements while ensuring regulatory and audit expectations are met. This is an opportunity to influence enterprise-wide controls, strengthen data governance practices, and contribute to a high-profile risk remediation program. What You’ll Do Assess and prioritize applications requiring review against enterprise data masking standards, identifying compliance gaps and remediation requirements. Partner with application owners and business stakeholders to understand application processes, data flows, and masking requirements. Design and implement evidence collection and validation processes that demonstrate compliance through objective testing rather than attestation alone. Facilitate stakeholder discussions to align business requirements with enterprise standards while supporting adoption of required controls. Create compliance reporting, status tracking, and governance metrics that integrate with broader audit remediation KRIs and KPIs. What We’re Looking For Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services. Strong stakeholder management and communication skills with the ability to build trust, influence outcomes, and navigate competing priorities. Ability to understand business processes and translate enterprise standards into practical application-level requirements. Experience performing data analysis and interpreting data flows, controls, and compliance requirements. Process design, process engineering, or operational improvement experience with a focus on scalable control frameworks. Bonus Points For Experience with data masking, data protection, privacy controls, or information security programs. Knowledge of banking, payments, and enterprise technology environments. Familiarity with audit remediation programs, regulatory examinations, or control testing frameworks. Experience designing governance reporting, compliance dashboards, and executive-level status reporting. Understanding of risk management frameworks and operational risk practices within large financial institutions. Why Join Capco Work on high-impact regulatory and risk transformation initiatives for leading financial institutions. Partner with senior stakeholders across business, technology, risk, and compliance functions. Join a collaborative, entrepreneurial consulting culture that values innovation and practical problem-solving. Access continuous learning, professional development, and industry-leading expertise. Help shape the future of data governance, compliance, and risk management within the financial services industry. Benefits Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment. Retirement Savings Program – RRSP with the option of receiving a matching employer contribution. Virtual Health Care and Employee & Family Assistance Program available to employees and their dependents. Enhanced parental leave benefits from Day 1 of employment, plus a company-sponsored new parent gift. Wellness reimbursement and a dedicated Business Coach from Day 1 to support your career growth and development. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Pay Transparency The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity. Canada Pay Transparency $118,000—$152,000 CAD", "summaryDescription" : "Business Analyst, Data Masking and Compliance at Capco. Skills: Data masking, Compliance, Risk remediation, Data governance. Assess applications against data masking standards. Identify compliance gaps", "postedDate" : "2026-06-16T01:20:47.212", "createdAt" : "2026-06-16T01:20:47.212", "lastUpdated" : "2026-06-16T12:32:44.174", "ingestTimestamp" : "2026-06-16T01:20:47.212", "mongoId" : "6a3087a4f292fd229c08b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics", "Data masking", "Compliance", "Risk remediation", "Data governance", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement", "Audit remediation", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c969074d8ee00a098ffac", "title" : "Sr Staff, SAP Product Lifecycle Management & Master Data Governance", "company" : "Monster Energy", "salary" : { "min" : 169500.0, "max" : 226000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corona, California, United States", "locations" : [ "Corona", "California", "United States" ], "timestamp" : "2026-06-16T02:53:19.437", "fingerprint" : "c8eaf6c7afb4b26c75977c838d72e8f5eb1b724f73711e8c7cb076306cd73fdb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4216342009", "externalId" : "4216342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Corona", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8752945,-117.5664440" } ], "locationText" : "Corona, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Sr Staff, SAP Product Lifecycle Management & Master Data Governance, you will lead and deliver global processes, business requirement, design, and governance in and around the space of SAP Product Lifecycle Management (PLM), Master Data Governance (MDG) and integrating with operations. Be a subject matter expert for SAP PLM, MDG space providing insight and support on global, cross-functional, or regional initiatives. Lead the initiative to establish a team of subject matter experts, gather and analyze business requirements, design, build, and implement systems, and provide hyper care support. The impact you'll make: Design, implement & oversee the global SAP PLM, MDG solutions to achieve business objectives. Lead projects in SAP PLM, MDG from inception to completion, including upgrades, enhancements, and new module implementations, ensuring they are delivered on time, within scope, and on budget Develop best practices solutions in the field of PLM & MDG. Serve as the point of contact in identifying latest trends in the field of Operations and evaluate appropriate solutions to drive efficiency. Partner with cross functional teams to deliver Operations transformational projects while adhering to project timelines. Analyze business requirements, prioritize based on solution cost/benefit analysis, present to department leader an successful implementation roadmap. Serve as the primary point of contact for SAP -related issues in the space of PLM & MDG, providing expert guidance and support to resolve technical challenges Responsible for maintenance and continuous improvement of PLM, MDG solutions by designing and implementing new functionalities to ensure they meet business requirements and performance standards. Actively engage with operations leaders to identify business problems that are conducive to AI and/or automation solutions in line with Digital Transformation (DT) road map and vision Partner closely with end-to-end solution verticals to understand requirements and ensure no business risk, quality and deliver the project on budget and timeline. Who you are: Prefer a Bachelor's Degree in the field of -- Supply Chain, Computer Science, Engineering, Management information systems (MIS) or related field. More than 7 years of experience in process mapping, design, configuration, customizing of SAP Solutions More than 7 years of experience in SAP PLM & MDG implementation, part of IT team Computer Skills Desired: SAP, ERP, S/4 Hana, SAP PLM, MDG, PPM & Microsoft tools. Experience in implementation of SAP PLM, MDG & end to end business processes. Preferred Certifications: APICS, SAP PLM, MDG, PPM Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $169,500—$226,000 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Sr Staff, SAP Product Lifecycle Management & Master Data Governance at Monster Energy", "postedDate" : "2026-06-14T18:35:34.929", "createdAt" : "2026-06-14T18:35:34.929", "lastUpdated" : "2026-06-16T02:53:19.437", "ingestTimestamp" : "2026-06-14T18:35:34.929", "mongoId" : "6a2c969074d8ee00a098ffac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 169500, "salaryAnnualMax" : 226000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c694f74d8ee00a0906e2e", "title" : "Enterprise Data Governance Lead", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Enterprise Data Governance roles in LaVergne, TN, adjusted for the logistics industry and full-time employment." }, "location" : "LaVergne, TN", "locations" : [ "LaVergne, TN" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:25:41.131", "fingerprint" : "ed0143553cb1ee96522cc6ca79596f04d711b34f4c19553ad6d7669d70644d6a", "source" : "jazzhr", "language" : "en", "externalId" : "62PPsD3MqM", "industryFunction" : { }, "structuredLocations" : [ { "city" : "LaVergne", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.0434585,-86.5849283" } ], "locationText" : "LaVergne, Tennessee, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data governance", "Data strategy", "Stakeholder management", "Business acumen" ], "hardSkillsList" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning", "Data quality", "Metadata management", "Data lineage", "Data security", "Data privacy" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" } ], "majorSkills" : "Data governance, Data engineering, Machine learning", "majorSkillsList" : [ "Data governance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Develop and implement data governance policies, Establish data quality standards, Define data lineage and metadata management processes, Oversee data security and privacy controls, Collaborate with data engineers and analysts, Provide guidance on data architecture, Ensure compliance with regulations, Drive data strategy initiatives", "teamCollaboration" : "Cross-functional teams; Data stewards; Business stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Data governance frameworks; Regulatory compliance; Data privacy laws", "domainList" : [ "data-governance-frameworks", "regulatory-compliance", "data-privacy-laws" ], "domainSpecificKnowledge" : [ "Data governance frameworks", "Regulatory compliance", "Data privacy laws" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Data dictionaries; Policy documentation", "problemSolvingSkills" : "Root cause analysis; Data quality issues", "outcomesObjectives" : "Improve data quality; Enhance data security; Ensure regulatory compliance; Enable data-driven decisions", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Enterprise Data Governance Lead. Skills: Data governance, Data engineering, Machine learning. Develop and implement data governance policies. Establish data quality standards", "createdAt" : "2026-06-14T07:09:16.402", "lastUpdated" : "2026-06-15T09:25:41.131", "ingestTimestamp" : "2026-06-14T07:09:16.402", "mongoId" : "6a2c694f74d8ee00a0906e2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning", "Data quality", "Metadata management", "Data lineage", "Data security", "Data privacy", "Data governance", "Data engineering", "Data strategy", "Stakeholder management", "Business acumen", "Agile methodologies", "Data governance frameworks", "Regulatory compliance", "Data privacy laws", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307af3f292fd229c042239", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsus Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:28:48.325", "fingerprint" : "15009b0557edbb13d8878c332809bcc4fd98d0daac11b375a51b7d0dd874df71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://tarsusrx.com/careers?gh_jid=6030918004", "externalId" : "6030918004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Design and execute A/B tests, Create and maintain BI dashboards, Collaborate with cross-functional teams, Provide analytical insights, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsus Pharmaceuticals. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:18:21.091", "createdAt" : "2026-06-16T01:18:21.091", "lastUpdated" : "2026-06-16T12:28:48.325", "ingestTimestamp" : "2026-06-16T01:18:21.091", "mongoId" : "6a307af3f292fd229c042239", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8d74d8ee00a0975cbe", "title" : "Sr. Recruiting Manager, Engineering & Data", "company" : "Thumbtack", "industry" : "People", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Recruiting Manager in Canada, adjusted for seniority, remote work in Ontario, and the technology industry." }, "location" : "Remote, Ontario", "locations" : [ "Remote, Ontario", "Remote, British Columbia" ], "timestamp" : "2026-06-16T02:09:10.718", "fingerprint" : "1d297a3b736053805bea31b3bc141c5f4072c7d2865049c9af7f2ac3b2b84b2e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/thumbtack/20226407-742d-4c07-a37e-4fa93167c437/application", "externalId" : "20226407-742d-4c07-a37e-4fa93167c437", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE TALENT ACQUISITION TEAM We are a lean, high-performing recruiting function embedded in the business — operating as true strategic partners to Engineering, Data, Product, Design, Marketing, Sales and G&A leaders. We are building an AI-native recruiting operation: using data and technology to improve how we find, evaluate, and hire talent at every stage of the funnel. Our team holds a high bar for quality of hire, moves with urgency, and treats recruiting as a strategic lever for how Thumbtack scales. ABOUT THE ROLE As Sr. Recruiting Manager for Engineering and Data, you will own the full technical recruiting vertical end-to-end. This is a player-coach role — you will carry your own requisitions while directly managing a Senior Recruiter on the team. You will serve as the senior talent partner to our Engineering and Data organizations, owning relationships at the leadership level, driving hiring strategy, and continuously improving how we hire technical talent at Thumbtack. This role reports to the Director of NA Recruiting. WHAT YOU’LL DO - Own all Engineering and Data recruiting end-to-end: intake through close, across a portfolio of technical roles at all levels - Directly manage and develop a Senior Recruiter while maintaining your own requisition load as a player-coach - Build and execute talent strategies for Engineering and Data, including long-term pipeline development for hard-to-fill and senior roles - Serve as the primary recruiting partner to Engineering and Data leadership — owning relationships, driving alignment, and holding hiring teams accountable to process and quality standards - Use funnel data and hiring outcome metrics to diagnose recruiting challenges, identify root causes, and drive process improvements independently - Contribute to Thumbtack’s AI-native recruiting agenda — identifying where AI tooling can improve how we source, screen, and evaluate technical talent IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - 8+ years of full-cycle recruiting experience, including significant experience recruiting for Engineering and/or Data organizations. - 2+ years of experience leading recruiters, including performance management, coaching, workload planning, and professional development. - Demonstrated success building trusted partnerships with senior business leaders and influencing hiring decisions through data and market insights. - Strong expertise in structured interviewing, selection methodologies and recruiting process design - Experience leading complex offer negotiations and advising stakeholders on talent market dynamics, hiring strategy, and close plans. - Proven ability to use recruiting analytics and funnel metrics to identify opportunities, diagnose challenges, and drive measurable improvements. - A practiced, hands-on relationship with AI tools in your recruiting workflow and a point of view on where AI creates real leverage EXPECTED SALARY RANGES - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $156,400 - $211,600 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams", "summaryDescription" : "Sr. Recruiting Manager, Engineering & Data at Thumbtack", "createdAt" : "2026-06-14T20:12:24.522", "lastUpdated" : "2026-06-16T02:09:10.718", "ingestTimestamp" : "2026-06-14T20:12:24.522", "mongoId" : "6a2c8c8d74d8ee00a0975cbe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8d74d8ee00a0975cb9", "title" : "Sr. Recruiting Manager, Engineering & Data", "company" : "Thumbtack", "industry" : "People", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Recruiting Manager in the US Technology industry, adjusted for manager seniority and a remote work model." }, "location" : "Remote, United States", "locations" : [ "Remote, United States" ], "timestamp" : "2026-06-16T02:32:04.386", "fingerprint" : "27ccb6757593439695921bf5713b30cca7425b1a54ab9a52226abaaae9494391", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/thumbtack/4cae8442-d5bc-4fd0-8cdf-4843365943df/application", "externalId" : "4cae8442-d5bc-4fd0-8cdf-4843365943df", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE TALENT ACQUISITION TEAM We are a lean, high-performing recruiting function embedded in the business — operating as true strategic partners to Engineering, Data, Product, Design, Marketing, Sales and G&A leaders. We are building an AI-native recruiting operation: using data and technology to improve how we find, evaluate, and hire talent at every stage of the funnel. Our team holds a high bar for quality of hire, moves with urgency, and treats recruiting as a strategic lever for how Thumbtack scales. ABOUT THE ROLE As Sr. Recruiting Manager for Engineering and Data, you will own the full technical recruiting vertical end-to-end. This is a player-coach role — you will carry your own requisitions while directly managing a Senior Recruiter on the team. You will serve as the senior talent partner to our Engineering and Data organizations, owning relationships at the leadership level, driving hiring strategy, and continuously improving how we hire technical talent at Thumbtack. This role reports to the Director of NA Recruiting. WHAT YOU’LL DO - Own all Engineering and Data recruiting end-to-end: intake through close, across a portfolio of technical roles at all levels - Directly manage and develop a Senior Recruiter while maintaining your own requisition load as a player-coach - Build and execute talent strategies for Engineering and Data, including long-term pipeline development for hard-to-fill and senior roles - Serve as the primary recruiting partner to Engineering and Data leadership — owning relationships, driving alignment, and holding hiring teams accountable to process and quality standards - Use funnel data and hiring outcome metrics to diagnose recruiting challenges, identify root causes, and drive process improvements independently - Contribute to Thumbtack’s AI-native recruiting agenda — identifying where AI tooling can improve how we source, screen, and evaluate technical talent IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - 8+ years of full-cycle recruiting experience, including significant experience recruiting for Engineering and/or Data organizations. - 2+ years of experience leading recruiters, including performance management, coaching, workload planning, and professional development. - Demonstrated success building trusted partnerships with senior business leaders and influencing hiring decisions through data and market insights. - Strong expertise in structured interviewing, selection methodologies and recruiting process design - Experience leading complex offer negotiations and advising stakeholders on talent market dynamics, hiring strategy, and close plans. - Proven ability to use recruiting analytics and funnel metrics to identify opportunities, diagnose challenges, and drive measurable improvements. - A practiced, hands-on relationship with AI tools in your recruiting workflow and a point of view on where AI creates real leverage EXPECTED SALARY RANGES - For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $210,800 - $285,200 - For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $189,600 - $256,500 - For candidates living in all other US locations, the expected salary range for this role is currently $179,400 - $242,700 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams", "summaryDescription" : "Sr. Recruiting Manager, Engineering & Data at Thumbtack", "createdAt" : "2026-06-14T20:12:10.222", "lastUpdated" : "2026-06-16T02:32:04.386", "ingestTimestamp" : "2026-06-14T20:12:10.222", "mongoId" : "6a2c8c8d74d8ee00a0975cb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0a551a1663d49372c6f011", "title" : "Compliance Sr. Manager - Data Governance/ AML/Sanctions Data Steward", "company" : "FIS", "industry" : "fintech", "salary" : { "min" : 151020.0, "max" : 256740.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US FL JAX 347", "locations" : [ "US FL JAX 347", "United States of America" ], "timestamp" : "2026-05-18T06:08:29.948", "fingerprint" : "adabe986f0dcd78643e8a8af6c20d82cea19d3a55b270c6558bfb5827952983e", "source" : "workday", "language" : "en", "applyUrl" : "https://fis.wd5.myworkdayjobs.com/SearchJobs/job/US-FL-JAX-347/Compliance-Sr-Manager---Data-Governance--AML-Sanctions-Data-Steward_JR0303426", "externalId" : "JR0303426", "industryFunction" : { }, "locationPoint" : "49.1,1.96667", "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's degree in quantitative discipline, such as Mathematics/Statistics, Business Analytics, Data Science, Information Systems, or related field", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Machine Learning, LLMs, SLMs, Databricks, Snowflake, Tableau, PowerBI", "professionalSkills" : [ "AML transaction monitoring", "data governance", "data architecture", "data modeling", "AML typology assessment", "transaction monitoring rules development", "program maturity against the risk appetite", "AML data steward", "financial crimes tech and data strategy", "business plan development" ], "hardSkillsList" : [ "quantitative and statistical skills", "data analytics", "developing dashboards" ], "softSkillsList" : [ "building positive business partner relationships", "Excellent verbal and written communication and collaboration skills", "influencing critical Compliance outcomes", "cross collaboration", "Results oriented", "comfortable in a fast-paced environment", "collaboration", "flexibility", "respect" ], "hardSkills" : [ { "name" : "quantitative and statistical skills", "level" : "intermediate" }, { "name" : "data analytics", "level" : "intermediate" }, { "name" : "developing dashboards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "building positive business partner relationships" }, { "name" : "Excellent verbal and written communication and collaboration skills" }, { "name" : "influencing critical Compliance outcomes" }, { "name" : "cross collaboration" }, { "name" : "Results oriented" }, { "name" : "comfortable in a fast-paced environment" }, { "name" : "collaboration" }, { "name" : "flexibility" }, { "name" : "respect" } ], "majorSkills" : "AML transaction monitoring, data governance, data architecture, data modeling, AML compliance, quantitative skills", "majorSkillsList" : [ "AML transaction monitoring", "data governance", "data architecture", "data modeling", "AML compliance", "quantitative skills" ], "coreResponsibilities" : "lead the design, optimization, and governance of AML transaction monitoring across the FIS enterprise, reviewing, challenging, and validating the soundness of AML transaction monitoring and data architecture across the first line function, provide subject matter guidance on model development and tuning methodology, document, monitor, and report on 1st line AML program health and model performance by driving metrics and KPIs implementation, participate in financial crimes tech and data strategy and business plan development, present and demonstrate soundness of the AML transaction monitoring program tooling and architecture as well as support of sanctions screening tools to senior stakeholders, Foster confidence in the accuracy and effectiveness of models and processes through continuous challenge and ongoing monitoring, leveraging advanced analytics and machine learning techniques, Apply quantitative and statistical skills in challenging models to support financial crimes risk mitigation while enabling the business, Implement data strategies to identify anomalies and develop risk mitigation plans, Engage in AML typology assessment and transaction monitoring rules development by leading data assessments to identify workflow and monitoring gaps, Leverage AML compliance business skills to identify data gaps and develop insights and trends to determine program maturity against the risk appetite, Act as an AML data steward to translate qualitative AML risks into quantitative metrics and KPIs by developing dashboards", "teamCollaboration" : "interact with executives; building positive business partner relationships; cross collaboration with the Business, Risk and Product teams; collaboration", "domainKnowledge" : "AML transaction monitoring; BSA AML Compliance; USA PATRIOT ACT; international financial crimes related regulations requirements; AML transaction monitoring rules development, testing, tuning and model validation; financial crimes", "domainList" : [ "aml-transaction-monitoring", "bsa-aml-compliance", "usa-patriot-act", "international-financial-crimes-related-regulations-requirements", "aml-transaction-monitoring-rules-development", "testing", "tuning-and-model-validation", "financial-crimes" ], "domainSpecificKnowledge" : [ "AML transaction monitoring", "BSA AML Compliance", "USA PATRIOT ACT", "international financial crimes related regulations requirements", "AML transaction monitoring rules development, testing, tuning and model validation", "financial crimes" ], "toolProficiency" : [ "SQL", "Python", "R", "Actimize", "Unit 21", "SAS", "Databricks", "Snowflake", "Tableau", "PowerBI" ], "communicationSkills" : "Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams", "continuousLearning" : "Personal and professional learning", "problemSolvingSkills" : "Apply quantitative and statistical skills in challenging models to support financial crimes risk mitigation while enabling the business; Implement data strategies to identify anomalies and develop risk mitigation plans; identify workflow and monitoring gaps; identify data gaps and develop insights and trends", "outcomesObjectives" : "driving metrics and KPIs implementation; develop risk mitigation plans; determine program maturity against the risk appetite; translate qualitative AML risks into quantitative metrics and KPIs", "qualificationsBasic" : "8+ years of experience with BSA AML Compliance, USA PATRIOT ACT, 8+ years of experience in data management and analytics, data governance, data architecture, and data modeling, 5+ years of experience leading teams and building positive business partner relationships, hands-on experience leveraging SQL, Python, R for data analytics and Machine Learning required", "qualificationsPreferred" : "Master's degree in data science/information systems or the equivalent combination of education, training, or work experience, Experience with building Agentic/AI workflows leveraging LLMs and SLMs preferred, Proficiency with AML transaction monitoring systems such as Actimize, Unit 21, SAS, and data platforms and dashboarding tools such as Databricks, Snowflake, Tableau, PowerBI and related database tools and technologies preferred", "remoteFriendly" : true, "rawDescription" : "**Job Description** At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? **About the role:** We’re seeking a data-driven Compliance Senior Manager to lead the design, optimization, and governance of AML transaction monitoring across the FIS enterprise. In this role within the 2nd line Corporate Compliance function, you will be responsible for reviewing, challenging, and validating the soundness of AML transaction monitoring and data architecture across the first line function. To achieve this, you will provide subject matter guidance on model development and tuning methodology. You will document, monitor, and report on 1st line AML program health and model performance by driving metrics and KPIs implementation, to Compliance leadership and other key stakeholders. You will also participate in financial crimes tech and data strategy and business plan development and regularly interact with executives. **About the team:** The team you will be joining plays an important role in maintaining AML tech and data compliance for the FIS enterprise and maintaining our customers’ trust. To be successful we need your experience to help navigate a complex organization and strive for cutting-edge solutions that enable AML robustness and scalability. You will help with building resilience and produce deliverables day to day. **What you will be doing:** A key aspect of the role is to present and demonstrate soundness of the AML transaction monitoring program tooling and architecture as well as support of sanctions screening tools to senior stakeholders across Compliance * Foster confidence in the accuracy and effectiveness of models and processes through continuous challenge and ongoing monitoring, leveraging advanced analytics and machine learning techniques * Apply quantitative and statistical skills in challenging models to support financial crimes risk mitigation while enabling the business * Implement data strategies to identify anomalies and develop risk mitigation plans * Engage in AML typology assessment and transaction monitoring rules development by leading data assessments to identify workflow and monitoring gaps * Leverage strong AML compliance business skills to identify data gaps and develop insights and trends to determine program maturity against the risk appetite * Act as an AML data steward to translate qualitative AML risks into quantitative metrics and KPIs by developing dashboards **What you will need:** Bachelor’s degree in quantitative discipline, such as Mathematics/Statistics, Business Analytics, Data Science, Information Systems, or related field * Preferred: Master’s degree in data science/information systems or the equivalent combination of education, training, or work experience * 8+ years of experience with BSA AML Compliance, USA PATRIOT ACT, familiarity with international financial crimes related regulations requirements, AML transaction monitoring rules development, testing, tuning and model validation * 8+ years of experience in data management and analytics, data governance, data architecture, and data modeling * 5+ years of experience leading teams and building positive business partner relationships * Strong hands-on experience leveraging SQL, Python, R for data analytics and Machine Learning required * Experience with building Agentic/AI workflows leveraging LLMs and SLMs preferred * Proficiency with AML transaction monitoring systems such as Actimize, Unit 21, SAS, and data platforms and dashboarding tools such as Databricks, Snowflake, Tableau, PowerBI and related database tools and technologies preferred * Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams * Experience in influencing critical Compliance outcomes in a complex organization that requires cross collaboration with the Business, Risk and Product teams * Results oriented and comfortable in a fast-paced environment **What we offer you:** At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: • Opportunities to make an impact in fintech • Personal and professional learning • Inclusive, diverse work environment • Resources to give back to your community • Competitive salary and benefits • An inclusive workspace built on collaboration, flexibility and respect. • A salary and benefits package that reflects your hard work. _FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is_ $151,020 - 256,740 _and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process._ **Privacy Statement** FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the [Online Privacy Notice](http://www.fisglobal.com/privacy). **EEOC Statement** FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is [available here](https://www.eeoc.gov/sites/default/files/migrated_files/employers/eeoc_self_print_poster.pdf) supplement document [available here](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. **Sourcing Model** Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass", "summaryDescription" : "Compliance Sr. Manager - Data Governance/ AML/Sanctions Data Steward at FIS. Skills: AML transaction monitoring, data governance, data architecture, data modeling, AML compliance, quantitative skills. lead the design, optimization, and governance of AML transaction monitoring across the FIS enterprise. reviewing, challenging, and validating the soundness of AML transaction monitoring and data architecture across the first line function", "postedDate" : "2026-05-01T03:40:12.470", "createdAt" : "2026-05-18T03:40:12.428", "lastUpdated" : "2026-05-18T06:08:29.948", "ingestTimestamp" : "2026-05-18T03:40:12.428", "mongoId" : "6a0a551a1663d49372c6f011", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fis.wd5.myworkdayjobs.com/SearchJobs/job/US-FL-JAX-347/Compliance-Sr-Manager---Data-Governance--AML-Sanctions-Data-Steward_JR0303426", "salaryAnnualMin" : 151020, "salaryAnnualMax" : 256740, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "quantitative and statistical skills", "data analytics", "developing dashboards", "building positive business partner relationships", "Excellent verbal and written communication and collaboration skills", "influencing critical Compliance outcomes", "cross collaboration", "Results oriented", "comfortable in a fast-paced environment", "collaboration", "flexibility", "respect", "AML transaction monitoring", "data governance", "data architecture", "data modeling", "AML compliance", "quantitative skills", "AML typology assessment", "transaction monitoring rules development", "program maturity against the risk appetite", "AML data steward", "financial crimes tech and data strategy", "business plan development", "BSA AML Compliance", "USA PATRIOT ACT", "international financial crimes related regulations requirements", "AML transaction monitoring rules development, testing, tuning and model validation", "financial crimes", "SQL", "Python", "R", "Actimize", "Unit 21", "SAS", "Databricks", "Snowflake", "Tableau", "PowerBI" ], "skillCount" : 39, "jobCategory" : "engineering", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 17, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "fintech" }, { "id" : "6a2ca14074d8ee00a09a4dcd", "title" : "Governance, Risk & Compliance Analyst", "company" : "Docebo", "industry" : "Information Technology and Security", "salary" : { "min" : 68300.0, "max" : 91000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "timestamp" : "2026-06-16T03:29:08.865", "fingerprint" : "20b66c5c4b2d8b9dd99fe9d6b9f9c965c74b281b55105b58fba4a20097df5899", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/docebo/b72395d5-fbf7-4715-8844-54ceb327cab0/application", "externalId" : "b72395d5-fbf7-4715-8844-54ceb327cab0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight" ], "hardSkillsList" : [ "Regulatory requirements" ], "hardSkills" : [ { "name" : "Regulatory requirements", "level" : "intermediate" } ], "majorSkills" : "Governance, Risk, Compliance", "majorSkillsList" : [ "Governance", "Risk", "Compliance" ], "coreResponsibilities" : "Oversee compliance programs, Manage regulatory risks, Ensure legal adherence, Conduct compliance audits, Develop compliance policies, Monitor regulatory changes, Advise on legal matters, Implement compliance controls", "domainKnowledge" : "Legal compliance; Risk management frameworks; Regulatory landscape", "domainList" : [ "legal-compliance", "risk-management-frameworks", "regulatory-landscape" ], "domainSpecificKnowledge" : [ "Legal compliance", "Risk management frameworks", "Regulatory landscape" ], "remoteFriendly" : true, "rawDescription" : "Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. The Governance, Risk & Compliance Analyst is a key contributor to Docebo's security and compliance program. This role supports the development and maintenance of our security framework, helping to ensure the company meets its regulatory obligations and effectively communicates its compliance standing to both internal and external stakeholders. Working under the guidance of senior team members, this individual will assist in various governance, risk, and compliance activities. The role involves collaboration with teams across the organization, including Sales and Legal, to help address customer inquiries related to security and compliance. This position offers an opportunity to grow and learn within a dynamic security environment, contributing to the continuous improvement of our control environment. Primary responsibilities, including but not limited to: The responsibilities listed in this section are representative and not exhaustive. Additional duties may be assigned as needed. - Support Governance and Policy Management: Assist in the creation and maintenance of cybersecurity and privacy policies, standards, and control frameworks to help align with key industry regulations (e.g., PCI DSS, ISO 27001, SOC 2) and business goals. - Contribute to Risk Assessments: Participate in cybersecurity risk assessments across the organization by helping to identify and document potential risks. Support the monitoring and tracking of risk treatment plans under the supervision of senior GRC team members. - Assist with Audit Support: Provide support for internal and external audits (e.g., ISO 27001, SOC 2, PCI DSS) by gathering evidence, helping to coordinate with internal teams, and assisting in the management of audit-related tasks. - Aid in Vendor Risk Assessment: Assist the GRC team in evaluating the risks associated with third-party vendors by supporting the monitoring of their security controls and helping to maintain risk management reports. - Maintain Documentation and Reporting: Help maintain clear and organized documentation of compliance activities, including risk assessments, risk register, and control inventory and audit evidence. Assist in preparing reports on the GRC program's status for management. - Facilitate Cross-functional Collaboration: Work with various departments to support the implementation of security controls and help align compliance and security efforts with business objectives, guided by the GRC team. - Handle Customer Inquiries: Respond to customer security and privacy inquiries by helping to complete compliance questionnaires and contributing to RFIs and RFPs, ensuring that information is accurate and delivered in a timely manner to support the sales process. What it takes to be successful: To succeed as a Governance, Risk & Compliance Analyst, you should have a foundational understanding of security and compliance concepts and a strong desire to learn and grow in the field. A detail-oriented and organized approach is essential for supporting audits and managing documentation. Good communication skills are important, as you will be collaborating with different teams and assisting with customer inquiries. A proactive mindset and the ability to work effectively as part of a team will be key to your success in this role. Education and Experience: - Typically 3+ years of relevant work experience. - Working experience IT Risk Management, Governance, or a similar Information Security role. - Experience supporting the development of security policies, risk assessments, or internal/external audit cycles for a SaaS company. - Familiarity with information security principles, trends, and best practices, particularly in cloud environments (e.g., AWS, Azure, GCloud). - Knowledge of GDPR requirements and other data privacy laws (eg: CCPA, PIPEDA). - Knowledge of ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO 9001, SOX, DORA, NIST CSF, and AICPA/ISAE 3000 SOC 2 & PCI DSS. - Familiarity with the FedRamp framework OUR HYBRID WORK PHILOSOPHY \uD83E\uDD1D Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY \uD83C\uDF89 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU \uD83D\uDE0D - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO \uD83D\uDC99 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by six core values—Innovation, Simplicity, Accountability, Togetherness, Curiosity, and Impact—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to recruiting_accommodations@docebo.com. The email should also include the position you’re interested in.", "summaryDescription" : "Governance, Risk & Compliance Analyst at Docebo. Skills: Governance, Risk, Compliance. Oversee compliance programs. Manage regulatory risks", "createdAt" : "2026-06-14T18:39:51.778", "lastUpdated" : "2026-06-16T03:29:08.865", "ingestTimestamp" : "2026-06-14T18:39:51.778", "mongoId" : "6a2ca14074d8ee00a09a4dcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Regulatory requirements", "Governance", "Risk", "Compliance", "Risk management", "Legal analysis", "Compliance oversight", "Legal compliance", "Risk management frameworks", "Regulatory landscape" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309104f292fd229c0ba247", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsanet", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T10:53:17.993", "fingerprint" : "e930f3b3815cba77dedd0cb72cf16ed0c2294a10c5830ade19169993f2fb887e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itcss/jobs/6030919004", "externalId" : "6030919004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Hi Tarsan! Thanks for your interest in this position. Please review the details and if role and if it's something that could match your career goals, connect with your current manager and HRBP to discuss if your experience and skills line up. If everything is a go, please apply and the Talent Acquisition team will contact you for an interview so we can also get to know you better. - Your Human Resources Team About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsanet", "postedDate" : "2026-06-16T03:16:04.227", "createdAt" : "2026-06-16T03:16:04.227", "lastUpdated" : "2026-06-16T10:53:17.993", "ingestTimestamp" : "2026-06-16T03:16:04.227", "mongoId" : "6a309104f292fd229c0ba247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306002f292fd229cf84369", "title" : "Sr. Manager, Statistical Programming and Data Operations", "company" : "Kyowa Kirin North America", "industry" : "Pharma", "salary" : { "min" : 145000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States" ], "timestamp" : "2026-06-16T08:50:44.103", "fingerprint" : "49d9cfec2d36afaf4e7072ec9fd00eb8eee6a4c344e64335be311f83397963b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kyowakirinusa90/jobs/7773426003", "externalId" : "7773426003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3496953,-74.6597376" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Princeton, New Jersey, United States; San Diego, California, United States; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SAS, R, Microsoft Office", "professionalSkills" : [ "Vendor oversight", "Project management", "Data standards" ], "hardSkillsList" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents" ], "hardSkills" : [ { "name" : "Statistical programming", "level" : "intermediate" }, { "name" : "CDISC compliant submission", "level" : "intermediate" }, { "name" : "Regulatory documents", "level" : "intermediate" } ], "majorSkills" : "Statistical programming, CDISC standards, Vendor management", "majorSkillsList" : [ "Statistical programming", "CDISC standards", "Vendor management" ], "coreResponsibilities" : "Develop TLF shells, Develop CDISC deliverables, Develop TLFs, Participate in vendor selection, Oversee vendor processes, Review Requests for Proposal, Track stat/programming activities, Manage project budget, Manage timeline of deliverables, Ensure statistical deliverables meet timelines, Oversee statistical programming tasks, Manage stat/programming TMFs, Act as subject matter expert, Interface with in-house staff, Participate on project team, Manage cost of activities, Manage timeline of activities, Review protocols, Review case report forms, Review statistical analysis plans, Review specifications for raw data, Review clinical study reports, Review study-related documents, Provide statistical programming input, Prepare CDISC data submission package, Prepare SAS programming for regulatory documents, Provide statistical programming for publications, Provide statistical programming for presentations, Provide ad-hoc analyses, Provide post-hoc analyses, Conduct programming QC reviews, Support departmental initiatives, Improve programming activities, Coordinate with Japanese colleagues, Liaise regarding global procedures, Liaise regarding global processes, Liaise regarding global standards", "teamCollaboration" : "Cross-regional staffs; Project team; Japanese colleagues", "projectManagementSkills" : [ "Timeline management", "Budget management" ], "domainKnowledge" : "Clinical trials; Drug development; ICH guidelines; Regulatory guidance; Life sciences industry; Biostatistics; CDISC standards", "domainList" : [ "clinical-trials", "drug-development", "ich-guidelines", "regulatory-guidance", "life-sciences-industry", "biostatistics", "cdisc-standards" ], "domainSpecificKnowledge" : [ "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "CDISC standards" ], "toolProficiency" : [ "SAS", "Microsoft Office" ], "documentationSkills" : "TLF shells; CDISC datasets; Regulatory documents", "specialRequirements" : "FDA inspections", "qualificationsBasic" : "Bachelor's Degree or higher in Computer Science, Statistics, or related discipline, Six or more years of experience with a Master's degree, Eight or more years of experience with a Bachelor's degree, Proven experience in statistical programming for clinical trials, Experience in study oversight of statistical analysis for clinical trials, Demonstrated expertise in CDISC standards, Excellent proficiency in SAS", "qualificationsPreferred" : "Experience in data integration for ISS/ISE, Experience using SAS-LSAF, Advance skill in R", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: Manager, Statistical Programming and Data Operations (SPDO) in Biostatistics is responsible for vendor oversight and management to deliver the high-quality tables, listings, and figures (TLFs), as well as CDISC datasets for clinical trials and integrated statistical analysis intended for regulatory submissions, interfacing with cross-regional staffs in establishing and maintaining global data standards and department procedures. Essential Functions: Vendor Oversight and Management • Responsible for developing TLF shells, CDISC deliverables, and TLFs in collaboration with stat/programming vendors. • Participate in vendor selection/oversight processes: Create and/or review Requests for Proposal (RFP); track the progress of stat/programming activities and the project budget for stat/programming vendor; and manage the timeline of stat/programming deliverables. • Collaborate with stat/programming vendors to ensure all statistical deliverables from the vendor meet timelines with quality. Oversee all aspects of statistical programming tasks performed by the vendor. • Manage the stat/programming related TMFs in collaboration with stat/programming vendors and act as a subject matter expert at FDA inspections. Internal Collaboration • Interface with in-house staff: Participate on project team meetings; and manage the cost and timeline of stat/programming activities in collaboration with each project manager. • Review protocols, case report forms, statistical analysis plans, specifications for raw data, clinical study reports, and the other study-related documents. • Collaborate with biostatistician to provide statistical programming input on project topics and issues. Statistical Programming • Responsible for preparation of CDISC data submission package and SAS programming for regulatory documents (e. g. Response to information requests from HA; Integrated summaries; BIMO; and DSUR). • Provide statistical programming for publications and presentations, ad-hoc and post-hoc analyses of clinical study data. • Conduct programming QC reviews of vendor deliverables in accordance with internal guidelines and work instructions. • Support departmental initiatives related to process building/improvement of programming activities. • Coordinate and liaise with our Japanese colleagues, as needed, regarding global procedures, processes, and standards. Requirements: Education Bachelor’s Degree or higher in Computer Science, Statistics, or closely related discipline. Experience • Proven experience in statistical programming for clinical trials in the life sciences industry: six or more years with a Master’s degree, or eight or more years with a Bachelor’s degree. • Experience in study oversight of statistical analysis for clinical trials in the life science industry • Demonstrated expertise in CDISC standards and CDISC compliant submission requirements. • Experience in data integration for ISS/ISE across multiple studies for regulatory submissions (preferred) • Experience in using SAS-LSAF (i. e. Life Science Analytics Framework), including its repository and programming environment (preferred) Technical Skills • Excellent proficiency in SAS (required); Advance skill in R (preferred). • Highly skilled in Microsoft Office applications (Word, PowerPoint, Excel, Outlook). • Familiarity with ICH guidelines (especially E9) and other regulatory guidance. • Solid understanding of development, regulatory and commercial aspects of drug development. The anticipated salary for this position will be $145,000 to $160,000. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: 401K with company match Annual Bonus Program (Sales Bonus for Sales Jobs) Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) HSA Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #Hybrid #Princeton", "summaryDescription" : "Sr. Manager, Statistical Programming and Data Operations at Kyowa Kirin North America. Skills: Statistical programming, CDISC standards, Vendor management. Develop TLF shells. Develop CDISC deliverables", "postedDate" : "2026-06-15T23:25:02.678", "createdAt" : "2026-06-15T23:25:02.678", "lastUpdated" : "2026-06-16T08:50:44.103", "ingestTimestamp" : "2026-06-15T23:25:02.678", "mongoId" : "6a306002f292fd229cf84369", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents", "CDISC standards", "Vendor management", "Vendor oversight", "Project management", "Data standards", "Timeline management", "Budget management", "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "SAS", "Microsoft Office" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d58ed74d8ee00a0b87b9b", "title" : "Interim Senior Compliance Manager (AML & CDD)", "company" : "Rettie", "industry" : "Real Estate", "salary" : { "min" : 75000.0, "max" : 100000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Compliance Manager (AML & CDD) in Edinburgh, United Kingdom, adjusted for seniority and contract employment type." }, "location" : "Edinburgh, GB", "locations" : [ "Edinburgh", "GB" ], "timestamp" : "2026-06-15T08:07:10.322", "fingerprint" : "5f7834946d15e2df60765bb0d4bd36f1c73dc446fd0c17a0484f5f636c8b7d02", "source" : "personio", "language" : "en", "applyUrl" : "https://rettie-and-co.jobs.personio.de/job/2646915", "externalId" : "2646915", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.9533456,-3.1883749" } ], "locationText" : "Edinburgh, United Kingdom", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight", "Stakeholder management", "Influence", "Challenge constructively", "People management" ], "hardSkillsList" : [ "AML policies", "AML controls", "AML procedures", "Risk assessment", "CDD processes", "EDD processes", "KYC provider", "AML training", "SARs" ], "softSkillsList" : [ "Customer Focus", "Decision Making", "Managing Risk", "Planning", "Organising", "Positive Mindset", "Problem Solving" ], "hardSkills" : [ { "name" : "AML policies", "level" : "intermediate" }, { "name" : "AML controls", "level" : "intermediate" }, { "name" : "AML procedures", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "CDD processes", "level" : "intermediate" }, { "name" : "EDD processes", "level" : "intermediate" }, { "name" : "KYC provider", "level" : "intermediate" }, { "name" : "AML training", "level" : "intermediate" }, { "name" : "SARs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Decision Making" }, { "name" : "Managing Risk" }, { "name" : "Planning" }, { "name" : "Organising" }, { "name" : "Positive Mindset" }, { "name" : "Problem Solving" } ], "majorSkills" : "AML expertise, CDD/EDD processes, UK AML regulations", "majorSkillsList" : [ "AML expertise", "CDD/EDD processes", "UK AML regulations" ], "coreResponsibilities" : "Lead development of AML policies, Lead maintenance of AML policies, Lead embedding of AML policies, Lead development of Business Wide Risk Assessment, Oversee CDD/EDD processes, Ensure compliance with UK AML regulations, Maintain audit readiness, Design monitoring frameworks, Implement monitoring frameworks, Design assurance frameworks, Implement assurance frameworks, Design reporting frameworks, Implement reporting frameworks, Manage high-risk cases, Manage escalations, Manage SARs, Drive AML training, Develop AML training, Deliver AML training, Promote compliance culture, Identify improvements, Implement improvements, Line manage Compliance team member, Develop Compliance team member", "teamCollaboration" : "Working with MLRO; Working with stakeholders", "domainKnowledge" : "Money Laundering Regulations 2017; HMRC guidance; AML legislation; Financial crime risk", "domainList" : [ "money-laundering-regulations-2017", "hmrc-guidance", "aml-legislation", "financial-crime-risk" ], "domainSpecificKnowledge" : [ "Money Laundering Regulations 2017", "HMRC guidance", "AML legislation", "Financial crime risk" ], "toolProficiency" : [ "Coadjute" ], "qualificationsBasic" : "Demonstrable AML experience, Solid understanding of UK AML legislation, Proven experience developing AML frameworks, Experience overseeing CDD/EDD processes, Experience managing high-risk cases, Experience working with third-party AML/KYC providers, Demonstrated ability to design monitoring processes, Confident stakeholder management skills, Analytical skills, High attention to detail, Sound judgement", "qualificationsPreferred" : "Estate agency-specific knowledge desirable, Experience preparing for regulatory audits, Experience supporting regulatory inspections, Previous line management experience, Mentoring experience", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Key details Location: Edinburgh Hours: Full or Part Time (minimum 30 hours per week across 4-5 days) Duration of contract : Anticipated up to 12 months About the role We’re looking for an experienced Senior Compliance Manager to join us on an interim basis and play a pivotal role in protecting Rettie from money laundering and financial crime risk. Working closely with our MLRO, you’ll design, implement and embed a robust AML framework across the business. You’ll make sure our approach is both fully compliant and practical, meeting UK Estate Agency Business (EAB) regulations, including the Money Laundering Regulations 2017 and HMRC guidance. This is a great opportunity to step into a visible, hands-on role where you can genuinely shape how compliance is understood and applied across the business. About you You’re a confident, commercially minded compliance professional with strong AML expertise. You’ll bring a practical, solutions-focused approach, and you’re able to translate complex regulations into clear, workable processes. You’re comfortable operating at a senior level, building credibility quickly and working with a wide range of stakeholders. This role will be ideal for you if you are looking for: A visible, senior role with real influence An opportunity to shape and evolve the compliance function· Potential to grow into a broader Risk & Compliance leadership role over time If this sounds like you, we’d love to hear from you—please upload a short cover letter telling us why you’d be a great fit for the role. Key responsibilities Lead the development, maintenance, and embedding of AML policies, controls and procedures and Business Wide Risk Assessment Oversee CDD/EDD processes with our external AML/ KYC provider (Coadjute) Ensure compliance with UK AML regulations and maintain audit readiness Design and deliver monitoring, assurance and reporting frameworks Manage high-risk cases, escalations and SARs Drive, develop, and deliver AML training, promoting a strong compliance culture Identify and implement improvements to strengthen controls and efficiency Line manage and develop a Compliance team member Key requirements Demonstrable AML experience within a regulated environment A solid understanding of UK AML legislation (estate agency-specific knowledge desirable) Proven experience developing or enhancing AML frameworks, policies, and risk assessments Experience overseeing CDD/EDD processes and managing high-risk cases and escalations Experience working with third-party AML/KYC providers or compliance technology platforms Demonstrated ability to design and implement monitoring, assurance, and reporting processes Confident stakeholder management skills, with the ability to influence and challenge constructively Strong analytical skills, with high attention to detail and sound judgement Experience preparing for or supporting regulatory audits or inspections is desirable Previous line management or mentoring experience is desirable Competencies Customer Focus Collaboration Communication Decision Making & Managing Risk Planning and Organising Positive Mindset Problem Solving and Innovation People Management (desirable, not essential) What we offer How to apply If you’re ready to make an immediate impact in a collaborative, forward-thinking business, we’d love to hear from you. A full job profile is available on request from hr@rettie.co.uk", "summaryDescription" : "Interim Senior Compliance Manager (AML & CDD) at Rettie. Skills: AML expertise, CDD/EDD processes, UK AML regulations. Lead development of AML policies. Lead maintenance of AML policies", "createdAt" : "2026-06-14T01:23:52.308", "lastUpdated" : "2026-06-15T08:07:10.322", "ingestTimestamp" : "2026-06-14T01:23:52.308", "mongoId" : "6a2d58ed74d8ee00a0b87b9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AML policies", "AML controls", "AML procedures", "Risk assessment", "CDD processes", "EDD processes", "KYC provider", "AML training", "SARs", "Customer Focus", "Decision Making", "Managing Risk", "Planning", "Organising", "Positive Mindset", "Problem Solving", "AML expertise", "CDD/EDD processes", "UK AML regulations", "Risk management", "Legal analysis", "Compliance oversight", "Stakeholder management", "Influence", "Challenge constructively", "People management", "Money Laundering Regulations 2017", "HMRC guidance", "AML legislation", "Financial crime risk", "Coadjute" ], "skillCount" : 31, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306085f292fd229cf8f7af", "title" : "Data Engagement Manager", "company" : "Monks", "industry" : "Consulting", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engagement Manager in Melbourne, Australia, adjusted for the Marketing industry and company size." }, "location" : "Melbourne", "locations" : [ "Melbourne", "Sydney" ], "timestamp" : "2026-06-16T07:55:45.761", "fingerprint" : "368b78d7148c1db02adb671ba296eaba919a70d646636d8a2d6e0ce892158eba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.monks.com/careers/6007972004/job?gh_jid=6007972004", "externalId" : "6007972004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "experienceLevel" : "Manager", "technicalSkills" : "GA4, Adobe Analytics, DV360, CM360, GCP, AWS", "professionalSkills" : [ "Client relationship management", "Account management", "Commercial negotiation", "Strategic advisory", "Service delivery oversight", "Proposal development", "SOW development", "Commercial management", "Budget tracking", "Financial reconciliation" ], "hardSkillsList" : [ "Data maturity roadmap", "Platform recommendations", "Architecture decisions", "Analytics strategy" ], "hardSkills" : [ { "name" : "Data maturity roadmap", "level" : "intermediate" }, { "name" : "Platform recommendations", "level" : "intermediate" }, { "name" : "Architecture decisions", "level" : "intermediate" }, { "name" : "Analytics strategy", "level" : "intermediate" } ], "majorSkills" : "Client relationship management, Account growth, Commercial expansion, Data and analytics", "majorSkillsList" : [ "Client relationship management", "Account growth", "Commercial expansion", "Data and analytics" ], "coreResponsibilities" : "Own client relationship, Map client stakeholders, Build rapport with clients, Act as single point of contact, Translate technical outputs to business value, Run client check-ins, Run QBRs, Run roadmap sessions, Identify organic growth opportunities, Develop client business understanding, Position Monks as strategic partner, Contribute to proposals, Contribute to SOW development, Contribute to commercial negotiations, Monitor account health, Monitor revenue trajectory, Monitor renewal risk, Oversee delivery with teams, Ensure engagements executed on time, Ensure engagements executed within scope, Ensure engagements executed to high standard, Maintain view of delivery status, Escalate risks promptly, Manage client expectations proactively, Define workstream priorities, Define resource requirements, Ensure work is signed off, Ensure work is documented, Ensure work is communicated clearly, Stay across data and analytics landscape, Share insights with clients, Help clients build data maturity roadmap, Advocate for initiatives, Provide recommendations on platform choices, Provide recommendations on architecture decisions, Provide recommendations on analytics strategy, Author Statements of Work, Manage Statements of Work, Oversee billing, Track budgets, Manage financial reconciliation, Maintain account records in Salesforce, Maintain records in project management systems", "teamCollaboration" : "Cross-functional environment; Onshore and offshore teams; Practice Leads; Director of Client Partnerships; Delivery team", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data and analytics; Digital marketing; Privacy; Cookieless", "domainList" : [ "data-and-analytics", "digital-marketing", "privacy", "cookieless" ], "domainSpecificKnowledge" : [ "Data and analytics", "Digital marketing", "Privacy", "Cookieless" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Written communication; Verbal communication; Presentations", "documentationSkills" : "Documentation", "outcomesObjectives" : "Ensure clients see tangible value; Ensure clients see measurable value", "qualificationsBasic" : "3+ years in client-facing roles, 3+ years in account management, 3+ years in digital consulting, 3+ years in client services, Experience in data and analytics, Experience translating technical concepts, Experience with enterprise procurement, Experience with complex billing", "qualificationsPreferred" : "Experience in data, analytics, or digital marketing, Familiarity with analytics platforms, Familiarity with digital marketing ecosystems, Experience with MarTech or data platforms, Experience with cloud environments, Experience with data engineering, Experience with analytics engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). About the Role We are looking for a client-first Engagement Manager to join our Sydney Data & Analytics team. This is a relationship-led role at its core - you will be the trusted face of Monks for a portfolio of enterprise clients, responsible for growing those relationships, expanding the scope of our work, and ensuring clients see tangible, measurable value from their investment in data. You bring experience in client services, account management, or digital consulting - and you know how to have a commercial conversation just as comfortably as a strategic one. You understand data and analytics well enough to translate complex outputs into business language that lands with senior stakeholders. Key Responsibilities Client Relationship Management Own the day-to-day and strategic relationship with a portfolio of enterprise clients across data and analytics engagements. Map client stakeholder landscapes — identify key decision-makers, influencers, and sponsors, and build strong rapport at each level. Act as the single point of contact, providing consistency, trust, and clear communication across all client teams. Translate complex technical delivery outputs into business value that resonates with client KPIs and executive stakeholders. Run regular client check-ins, QBRs, and roadmap sessions to maintain alignment and surface new opportunities. Account Growth & Commercial Expansion Proactively identify and pursue organic growth opportunities within existing accounts — new workstreams, expanded scope, and upsell across Monks' service lines. Develop a clear understanding of each client's business goals, data maturity, and competitive landscape to position Monks as a long-term strategic partner. Contribute to proposals, SOW development, and commercial negotiations in close collaboration with Practice Leads and the Director of Client Partnerships. Monitor account health, revenue trajectory, and renewal risk — flag concerns early and lead the response. Service Delivery Oversee delivery with an onshore/offshore team to ensure client engagements are executed on time, within scope, and to a high standard. Maintain a clear view of delivery status across your portfolio — escalate risks promptly and manage client expectations proactively. Partner with the delivery team to define workstream priorities and resource requirements based on client roadmaps. Ensure all work is signed off, documented, and communicated clearly to the client. Consultancy & Strategic Advisory Stay across the data and analytics landscape — platforms, trends, regulatory changes (e. g. privacy, cookieless) — and proactively share insights with clients. Help clients build their data maturity roadmap and advocate for initiatives that deliver both short-term wins and long-term capability uplift. Provide informed recommendations on platform choices, architecture decisions, and analytics strategy in close partnership with technical specialists. Commercial & SOW Management Author and manage Statements of Work (SOWs), ensuring scope, assumptions, and commercial terms are clearly defined and mutually agreed. Oversee billing, budget tracking, and financial reconciliation across your accounts - flag overruns early and manage change control. Maintain accurate account records in Salesforce and internal project management systems. What We're Looking For 3+ years in client-facing roles - account management, digital consulting, or client services, ideally in data, analytics, or digital marketing. Natural relationship builder with a track record of growing accounts and managing senior stakeholder relationships. Comfortable with budgets, SOWs, renewal conversations, and identifying upsell opportunities. Familiarity with analytics platforms (GA4, Adobe Analytics) and digital marketing ecosystems (DV360, CM360, etc.). Excellent communicator who can translate technical concepts into business language — written, verbal, and in presentations. Comfortable operating in a fast-paced, cross-functional environment. Confident working with both onshore and offshore teams. Experience working with enterprise procurement processes and complex billing structures. Exposure to cloud environments (GCP, AWS) or data engineering / analytics engineering concepts Experience with MarTech or data platforms (Adobe Experience Platform, Salesforce Marketing Cloud, Braze, or similar) highly desirable Experience in Google Analytics, Adobe Analytics, or Google Cloud certification highly preferred #LI-CX1 About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact. Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.", "summaryDescription" : "Data Engagement Manager at Monks. Skills: Client relationship management, Account growth, Commercial expansion, Data and analytics. Own client relationship. Map client stakeholders", "postedDate" : "2026-06-15T23:23:19.541", "createdAt" : "2026-06-15T23:23:19.541", "lastUpdated" : "2026-06-16T07:55:45.761", "ingestTimestamp" : "2026-06-15T23:23:19.541", "mongoId" : "6a306085f292fd229cf8f7af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data maturity roadmap", "Platform recommendations", "Architecture decisions", "Analytics strategy", "Client relationship management", "Account growth", "Commercial expansion", "Data and analytics", "Account management", "Commercial negotiation", "Strategic advisory", "Service delivery oversight", "Proposal development", "SOW development", "Commercial management", "Budget tracking", "Financial reconciliation", "Roadmap planning", "Digital marketing", "Privacy", "Cookieless", "Salesforce" ], "skillCount" : 22, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306085f292fd229cf8f7b0", "title" : "Data Engagement Manager", "company" : "Monks", "industry" : "Consulting", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engagement Manager in Melbourne, Australia, adjusted for the Marketing industry and company size." }, "location" : "Melbourne", "locations" : [ "Melbourne", "Sydney" ], "timestamp" : "2026-06-16T07:45:29.114", "fingerprint" : "bde99ae75fbe8199dcbbd322f34e4f4b076bd5d0f4cfc63d8a0143a6532177e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.monks.com/careers/6030113004/job?gh_jid=6030113004", "externalId" : "6030113004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "experienceLevel" : "Manager", "technicalSkills" : "GA4, Adobe Analytics, DV360, CM360, GCP, AWS", "professionalSkills" : [ "Account management", "Client services", "Digital consulting", "Commercial conversation", "Strategic conversation", "Relationship building", "Stakeholder management", "Commercial negotiations", "Service delivery oversight", "Strategic advisory", "Roadmap development", "Platform recommendations", "Architecture decisions", "Analytics strategy", "SOW management", "Budget tracking", "Financial reconciliation", "Change control" ], "hardSkillsList" : [ "Data maturity roadmap", "Data analytics" ], "hardSkills" : [ { "name" : "Data maturity roadmap", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Client relationship management, Account growth, Service delivery, Strategic advisory", "majorSkillsList" : [ "Client relationship management", "Account growth", "Service delivery", "Strategic advisory" ], "coreResponsibilities" : "Own client relationship, Map client stakeholders, Build rapport with stakeholders, Act as single point of contact, Provide consistency and trust, Provide clear communication, Translate technical outputs to business value, Run client check-ins, Run QBRs, Run roadmap sessions, Identify organic growth opportunities, Develop understanding of client business goals, Develop understanding of client data maturity, Develop understanding of client competitive landscape, Position Monks as strategic partner, Contribute to proposals, Contribute to SOW development, Contribute to commercial negotiations, Monitor account health, Monitor revenue trajectory, Monitor renewal risk, Flag concerns early, Lead response to concerns, Oversee delivery execution, Ensure engagements are on time, Ensure engagements are within scope, Ensure engagements are high standard, Maintain view of delivery status, Escalate risks promptly, Manage client expectations proactively, Define workstream priorities, Define resource requirements, Ensure work is signed off, Ensure work is documented, Communicate work clearly to client, Stay across data and analytics landscape, Share insights with clients, Help clients build data maturity roadmap, Advocate for initiatives, Provide recommendations on platform choices, Provide recommendations on architecture decisions, Provide recommendations on analytics strategy, Author Statements of Work, Manage Statements of Work, Oversee billing, Track budgets, Manage financial reconciliation, Manage change control, Maintain account records", "teamCollaboration" : "Cross-functional environment; Onshore and offshore teams; Practice Leads; Director of Client Partnerships; Delivery team", "projectManagementSkills" : [ "Roadmap sessions", "SOW management", "Budget tracking", "Change control" ], "domainKnowledge" : "Data and analytics; Digital marketing; MarTech; Data platforms; Cloud environments; Data engineering; Analytics engineering; Privacy regulations; Cookieless trends", "domainList" : [ "data-and-analytics", "digital-marketing", "martech", "data-platforms", "cloud-environments", "data-engineering", "analytics-engineering", "privacy-regulations", "cookieless-trends" ], "domainSpecificKnowledge" : [ "Data and analytics", "Digital marketing", "MarTech", "Data platforms", "Cloud environments", "Data engineering", "Analytics engineering", "Privacy regulations", "Cookieless trends" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Written communication; Verbal communication; Presentations", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Identify upsell opportunities; Monitor account health; Monitor renewal risk; Flag concerns early; Escalate risks promptly", "outcomesObjectives" : "Ensure clients see tangible value; Ensure clients see measurable value; Grow relationships; Expand scope of work; Achieve client KPIs; Deliver short-term wins; Deliver long-term capability uplift", "qualificationsBasic" : "3+ years in client-facing roles, 3+ years in account management, 3+ years in digital consulting, 3+ years in client services, Experience in data and analytics, Experience translating technical outputs to business value, Experience with enterprise procurement processes, Experience with complex billing structures", "qualificationsPreferred" : "Experience in data, analytics, or digital marketing, Familiarity with analytics platforms, Familiarity with digital marketing ecosystems, Experience with MarTech or data platforms, Experience with cloud environments, Experience with data engineering concepts, Experience with analytics engineering concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). About the Role We are looking for a client-first Engagement Manager to join our Sydney Data & Analytics team. This is a relationship-led role at its core - you will be the trusted face of Monks for a portfolio of enterprise clients, responsible for growing those relationships, expanding the scope of our work, and ensuring clients see tangible, measurable value from their investment in data. You bring experience in client services, account management, or digital consulting - and you know how to have a commercial conversation just as comfortably as a strategic one. You understand data and analytics well enough to translate complex outputs into business language that lands with senior stakeholders. Key Responsibilities Client Relationship Management Own the day-to-day and strategic relationship with a portfolio of enterprise clients across data and analytics engagements. Map client stakeholder landscapes — identify key decision-makers, influencers, and sponsors, and build strong rapport at each level. Act as the single point of contact, providing consistency, trust, and clear communication across all client teams. Translate complex technical delivery outputs into business value that resonates with client KPIs and executive stakeholders. Run regular client check-ins, QBRs, and roadmap sessions to maintain alignment and surface new opportunities. Account Growth & Commercial Expansion Proactively identify and pursue organic growth opportunities within existing accounts — new workstreams, expanded scope, and upsell across Monks' service lines. Develop a clear understanding of each client's business goals, data maturity, and competitive landscape to position Monks as a long-term strategic partner. Contribute to proposals, SOW development, and commercial negotiations in close collaboration with Practice Leads and the Director of Client Partnerships. Monitor account health, revenue trajectory, and renewal risk — flag concerns early and lead the response. Service Delivery Oversee delivery with an onshore/offshore team to ensure client engagements are executed on time, within scope, and to a high standard. Maintain a clear view of delivery status across your portfolio — escalate risks promptly and manage client expectations proactively. Partner with the delivery team to define workstream priorities and resource requirements based on client roadmaps. Ensure all work is signed off, documented, and communicated clearly to the client. Consultancy & Strategic Advisory Stay across the data and analytics landscape — platforms, trends, regulatory changes (e. g. privacy, cookieless) — and proactively share insights with clients. Help clients build their data maturity roadmap and advocate for initiatives that deliver both short-term wins and long-term capability uplift. Provide informed recommendations on platform choices, architecture decisions, and analytics strategy in close partnership with technical specialists. Commercial & SOW Management Author and manage Statements of Work (SOWs), ensuring scope, assumptions, and commercial terms are clearly defined and mutually agreed. Oversee billing, budget tracking, and financial reconciliation across your accounts - flag overruns early and manage change control. Maintain accurate account records in Salesforce and internal project management systems. What We're Looking For 3+ years in client-facing roles - account management, digital consulting, or client services, ideally in data, analytics, or digital marketing. Natural relationship builder with a track record of growing accounts and managing senior stakeholder relationships. Comfortable with budgets, SOWs, renewal conversations, and identifying upsell opportunities. Familiarity with analytics platforms (GA4, Adobe Analytics) and digital marketing ecosystems (DV360, CM360, etc.). Excellent communicator who can translate technical concepts into business language — written, verbal, and in presentations. Comfortable operating in a fast-paced, cross-functional environment. Confident working with both onshore and offshore teams. Experience working with enterprise procurement processes and complex billing structures. Exposure to cloud environments (GCP, AWS) or data engineering / analytics engineering concepts Experience with MarTech or data platforms (Adobe Experience Platform, Salesforce Marketing Cloud, Braze, or similar) highly desirable Experience in Google Analytics, Adobe Analytics, or Google Cloud certification highly preferred #LI-CX1 About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact. Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.", "summaryDescription" : "Data Engagement Manager at Monks. Skills: Client relationship management, Account growth, Service delivery, Strategic advisory. Own client relationship. Map client stakeholders", "postedDate" : "2026-06-15T23:22:16.032", "createdAt" : "2026-06-15T23:22:16.032", "lastUpdated" : "2026-06-16T07:45:29.114", "ingestTimestamp" : "2026-06-15T23:22:16.032", "mongoId" : "6a306085f292fd229cf8f7b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data maturity roadmap", "Data analytics", "Client relationship management", "Account growth", "Service delivery", "Strategic advisory", "Account management", "Client services", "Digital consulting", "Commercial conversation", "Strategic conversation", "Relationship building", "Stakeholder management", "Commercial negotiations", "Service delivery oversight", "Roadmap development", "Platform recommendations", "Architecture decisions", "Analytics strategy", "SOW management", "Budget tracking", "Financial reconciliation", "Change control", "Roadmap sessions", "Data and analytics", "Digital marketing", "MarTech", "Data platforms", "Cloud environments", "Data engineering", "Analytics engineering", "Privacy regulations", "Cookieless trends", "Salesforce" ], "skillCount" : 34, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308b88f292fd229c0997b0", "title" : "Product Manager, Data Governance & Enterprise Data Products", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Product Manager in New York, Media industry, adjusted for company size and experience level." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T10:40:35.176", "fingerprint" : "d7a1756f252120a1a7f8c63253888074eed71fe2087f43d64add9325f5f1154e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131964448-product-manager-data-governance-enterprise-data-products", "externalId" : "744000131964448", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "coreResponsibilities" : "Define product strategy, Develop product roadmaps, Write user stories, Collaborate with engineering teams, Collaborate with design teams, Collaborate with marketing teams, Collaborate with sales teams, Collaborate with customer support teams, Gather customer feedback, Analyze market trends, Define product requirements, Prioritize product backlog, Launch new products, Manage product lifecycle", "teamCollaboration" : "Cross-functional teams; Engineering teams; Design teams; Marketing teams; Sales teams; Customer support teams", "projectManagementSkills" : [ "Roadmap planning", "Backlog prioritization" ], "documentationSkills" : "User stories", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. We are seeking a Product Manager focused on Data Governance and Enterprise Data Products to define and drive governance strategies that ensure data integrity, compliance, and accessibility across enterprise platforms and support key enterprise data products. This role partners with product, data engineering, analytics, privacy, compliance, and business teams to translate enterprise data needs into governed, high-quality data products that support confident decision-making and responsible activation. The ideal candidate combines product management discipline with practical experience in data governance, metadata, data quality, reporting, consumer data, and identity. What You Will Own: * Roadmap for governed datasets, reporting assets, metrics layers, consumer data products, identity signals, and downstream data consumption. * Governance capabilities that make data discoverable, accurate, secure, compliant, documented, and fit for business use. * Reporting trust across dashboards, executive reporting, canonical metrics, semantic layers, and self-service analytics. * Alignment among business stakeholders, data producers and consumers, engineering, analytics, legal/privacy, security, and compliance. Responsibilities: * Define product vision, success metrics, and roadmap for enterprise data governance and data product initiatives. * Develop requirements, user stories, acceptance criteria, process flows, and release plans. * Operationalize standards for metadata, business definitions, lineage, ownership, stewardship, classification, retention, quality, and access controls. * Partner with engineering on ingestion, transformation, cataloging, quality monitoring, access provisioning, and change management. * Partner with analytics and business teams on governed reporting datasets, canonical KPIs, semantic layers, and self-service experiences. * Collaborate with privacy, legal, security, and compliance teams on consent, privacy-by-design, regulatory readiness, and appropriate consumer/identity data use. * Drive adoption through communications, documentation, enablement, training, and launch planning. * Track KPIs including data quality, catalog coverage, lineage completeness, access SLA performance, reporting accuracy, policy compliance, resolution time, and adoption. ## Qualifications * 4+ years in product management, data product management, data governance, analytics product ownership, or enterprise data platform delivery. * Experience with governed datasets, reporting assets, data catalogs, data quality capabilities, APIs, identity graphs, consumer data assets, or analytics platforms. * Strong understanding of metadata, lineage, quality, stewardship, access controls, classification, retention, and policy enforcement. * Experience working across data engineering, analytics, BI/reporting, privacy, security, compliance, marketing, product, and operations. * Familiarity with consumer data and identity concepts, including profiles, consent, identifiers, audience attributes, segmentation, identity resolution, and activation controls. * Ability to turn ambiguous business and governance needs into actionable roadmaps, requirements, and delivery plans. * Bachelor's degree in business, computer science, information systems, data science, analytics, engineering, or equivalent experience. Desired Characterics : * Experience in media, entertainment, advertising, streaming, subscription, digital products, or other consumer-scale data environments. * Familiarity with SQL, data modeling, warehouses, BI tools, data catalogs, observability, or privacy/consent platforms. * Experience with GDPR, CCPA/CPRA, privacy-by-design, retention, data minimization, customer 360, audience, personalization, martech, or CDP initiatives. Additional Requirements : * Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. * Salary range: $105,000-$135,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Product Manager, Data Governance & Enterprise Data Products at Versant. Define product strategy. Develop product roadmaps", "postedDate" : "2026-06-12T18:38:23.000", "createdAt" : "2026-06-16T03:32:01.192", "lastUpdated" : "2026-06-16T10:40:35.176", "ingestTimestamp" : "2026-06-16T03:32:01.192", "mongoId" : "6a308b88f292fd229c0997b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Roadmap planning", "Backlog prioritization" ], "skillCount" : 2, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305d29f292fd229cf64dcc", "title" : "Product Manager, Data Governance & Enterprise Data Products", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Product Manager in New York, Media industry, adjusted for company size and full-time employment." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T10:11:28.311", "fingerprint" : "2bdd6871f177682418ecc08f0b198294be60085b0e814b2ca8ae7a8e599bfcfe", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131964448-product-manager-data-governance-enterprise-data-products", "externalId" : "744000131964448", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "coreResponsibilities" : "Define product strategy, Develop product roadmaps, Write user stories, Collaborate with engineering, Collaborate with design, Collaborate with marketing, Collaborate with sales, Manage product lifecycle, Gather customer feedback, Analyze market trends, Define product requirements, Prioritize product backlog, Launch new products, Iterate on existing products, Measure product success, Communicate product updates", "teamCollaboration" : "Cross-functional teams; Engineering teams; Design teams; Marketing teams; Sales teams; Customer support teams", "projectManagementSkills" : [ "Product strategy", "Roadmap development", "User stories", "Product backlog", "Product lifecycle management" ], "communicationSkills" : "Product updates", "documentationSkills" : "Product requirements; User stories", "outcomesObjectives" : "Measure product success", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. We are seeking a Product Manager focused on Data Governance and Enterprise Data Products to define and drive governance strategies that ensure data integrity, compliance, and accessibility across enterprise platforms and support key enterprise data products. This role partners with product, data engineering, analytics, privacy, compliance, and business teams to translate enterprise data needs into governed, high-quality data products that support confident decision-making and responsible activation. The ideal candidate combines product management discipline with practical experience in data governance, metadata, data quality, reporting, consumer data, and identity. What You Will Own: * Roadmap for governed datasets, reporting assets, metrics layers, consumer data products, identity signals, and downstream data consumption. * Governance capabilities that make data discoverable, accurate, secure, compliant, documented, and fit for business use. * Reporting trust across dashboards, executive reporting, canonical metrics, semantic layers, and self-service analytics. * Alignment among business stakeholders, data producers and consumers, engineering, analytics, legal/privacy, security, and compliance. Responsibilities: * Define product vision, success metrics, and roadmap for enterprise data governance and data product initiatives. * Develop requirements, user stories, acceptance criteria, process flows, and release plans. * Operationalize standards for metadata, business definitions, lineage, ownership, stewardship, classification, retention, quality, and access controls. * Partner with engineering on ingestion, transformation, cataloging, quality monitoring, access provisioning, and change management. * Partner with analytics and business teams on governed reporting datasets, canonical KPIs, semantic layers, and self-service experiences. * Collaborate with privacy, legal, security, and compliance teams on consent, privacy-by-design, regulatory readiness, and appropriate consumer/identity data use. * Drive adoption through communications, documentation, enablement, training, and launch planning. * Track KPIs including data quality, catalog coverage, lineage completeness, access SLA performance, reporting accuracy, policy compliance, resolution time, and adoption. ## Qualifications * 4+ years in product management, data product management, data governance, analytics product ownership, or enterprise data platform delivery. * Experience with governed datasets, reporting assets, data catalogs, data quality capabilities, APIs, identity graphs, consumer data assets, or analytics platforms. * Strong understanding of metadata, lineage, quality, stewardship, access controls, classification, retention, and policy enforcement. * Experience working across data engineering, analytics, BI/reporting, privacy, security, compliance, marketing, product, and operations. * Familiarity with consumer data and identity concepts, including profiles, consent, identifiers, audience attributes, segmentation, identity resolution, and activation controls. * Ability to turn ambiguous business and governance needs into actionable roadmaps, requirements, and delivery plans. * Bachelor's degree in business, computer science, information systems, data science, analytics, engineering, or equivalent experience. Desired Characterics : * Experience in media, entertainment, advertising, streaming, subscription, digital products, or other consumer-scale data environments. * Familiarity with SQL, data modeling, warehouses, BI tools, data catalogs, observability, or privacy/consent platforms. * Experience with GDPR, CCPA/CPRA, privacy-by-design, retention, data minimization, customer 360, audience, personalization, martech, or CDP initiatives. Additional Requirements : * Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. * Salary range: $105,000-$135,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Product Manager, Data Governance & Enterprise Data Products at Versant. Define product strategy. Develop product roadmaps", "postedDate" : "2026-06-12T18:38:23.000", "createdAt" : "2026-06-15T23:52:44.532", "lastUpdated" : "2026-06-16T10:11:28.311", "ingestTimestamp" : "2026-06-15T23:52:44.532", "mongoId" : "6a305d29f292fd229cf64dcc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Product backlog", "Product lifecycle management" ], "skillCount" : 5, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307ecdf292fd229c0528ca", "title" : "Data Product Manager", "company" : "Chainalysis", "industry" : "Corporate Functions", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Product Manager in the Technology industry in Canada, adjusted for remote work and company size." }, "location" : "Ontario", "locations" : [ "Ontario" ], "timestamp" : "2026-06-16T10:45:00.669", "fingerprint" : "58e233bcf18706acbae2c92e471a596308ff4239b251e62d76bc87670271a132", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/chainalysis-careers/dfe62aae-2b72-4593-8a59-fafc1e03785a/application", "externalId" : "dfe62aae-2b72-4593-8a59-fafc1e03785a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AWS Redshift, Databricks, Databricks Genie, Git, Github Enterprise, Dbt, Tableau, DataGrip", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Data modeling", "Stakeholder management", "Problem analysis" ], "hardSkillsList" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Analytics workflows", "level" : "intermediate" }, { "name" : "Business metrics", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Data Product Management, Data Strategy, Analytics, Product Thinking", "majorSkillsList" : [ "Data Product Management", "Data Strategy", "Analytics", "Product Thinking" ], "coreResponsibilities" : "Own design of data products, Own discovery of data products, Own operationalization of data products, Translate business needs into data assets, Ensure data product quality, Ensure data product usability, Ensure data product adoption, Partner with Data Engineering, Partner with Data Operations, Partner with business stakeholders, Define data models, Standardize metrics, Maintain documentation, Translate business problems into use cases, Translate business problems into data solutions, Define metric definitions, Standardize semantic layers, Establish business logic, Establish calculation rules, Establish hierarchies, Design scalable datasets, Build scalable datasets, Optimize scalable datasets, Consolidate data, Refresh data, Make data accessible, Manage operational lifecycle, Manage updates, Manage issue resolution, Manage performance tracking, Drive adoption of datasets, Create documentation, Create examples, Create enablement materials", "teamCollaboration" : "Cross-functional teams; Data Engineering; Data Operations; Business stakeholders", "projectManagementSkills" : [ "Agile environments" ], "domainKnowledge" : "Enterprise SaaS; Go-To-Market processes; Quote-to-Cash processes; Data governance; Business metrics; ARR; Churn; NRR; LTV:CAC", "domainList" : [ "enterprise-saas", "go-to-market-processes", "quote-to-cash-processes", "data-governance", "business-metrics", "arr", "churn", "nrr", "ltv-cac" ], "domainSpecificKnowledge" : [ "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "Business metrics", "ARR", "Churn", "NRR", "LTV:CAC" ], "toolProficiency" : [ "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Documentation creation; Documentation maintenance", "problemSolvingSkills" : "Analytical; Problem-solving; Data-driven mindset", "qualificationsBasic" : "Experience as Data Product Manager, Experience as Data Strategist, Experience in product-oriented, data-focused environment, Understanding of data ecosystems, Understanding of data warehousing, Understanding of data modeling, Understanding of analytics workflows, Experience with cross-functional teams, Experience with Data Engineering, Experience with business stakeholders, Experience translating business problems, Experience creating documentation, Experience maintaining documentation, Analytical skills, Problem-solving skills, Experience driving product adoption, Experience measuring impact", "qualificationsPreferred" : "Experience in enterprise SaaS environments, Knowledge of Go-To-Market processes, Knowledge of Quote-to-Cash processes, Familiarity with Databricks, Familiarity with Snowflake, Familiarity with dbt, Familiarity with Tableau, Familiarity with Looker, Experience with AI-powered analytics tools, Exposure to data governance, Exposure to data catalog tools, Technical background in SQL, Technical background in analytics engineering, Familiarity with Salesforce, Familiarity with NetSuite, Familiarity with GTM systems, Familiarity with Finance systems, Experience in Agile environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Data Product Manager Location: Canada (Remote, East Coast) The Enterprise Data and Analytics (ED&A) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with internal stakeholders in GTM, Operations and Finance. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work. We are looking for a Data Product Manager to support the Data Products team by owning the design, discovery, and operationalization of data products. This role will be responsible for translating business needs into scalable, well-defined data assets and ensuring their ongoing quality, usability, and adoption. The ideal candidate will partner closely with Data Engineering, Data Operations, and business stakeholders to define data models, standardize metrics, and maintain high-quality documentation, ensuring enterprise data products are reliable, consistent, and usable. They will bring experience at the intersection of data, analytics, and product thinking, and are comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor. In this role, you’ll: - Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions - Define and standardize metric definitions and semantic layers by establishing clear business logic, calculation rules, and hierarchies to ensure consistency, accuracy, and alignment across reporting - Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders - Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking - Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials We’re looking for candidates who have: - Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment - Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows - Experience working with cross-functional teams including Data Engineering and business stakeholders - Experience translating complex business problems into clear product requirements and scalable data solutions - Strong understanding business metrics (eg: ARR, Churn, NRR, LTV:CAC) and how they are used in decision making - Experience creating and maintaining documentation in tools like Confluence - Excellent stakeholder management and communication skills - Strong analytical and problem-solving skills with a data-driven mindset - Experience driving product adoption and measuring impact Nice to have experience: - Experience in enterprise SaaS environments with knowledge of Go-To-Market and Quote-to-Cash processes - Familiarity with tools such as Databricks, Snowflake, dbt, Tableau or Looker - Experience working with AI-powered analytics tools (e.g., Databricks Genie or similar) - Exposure to data governance, or data catalog tools - Technical background in SQL or analytics engineering - Familiarity with Salesforce, NetSuite, or other GTM/Finance systems - Experience working in Agile environments using tools like Jira Systems/Tools we use: - Marketo - Salesforce - NetSuite - Adaptive Insights - Pendo - Fivetran - Dagster - AWS Redshift - Databricks & Databricks Genie - Git / Github Enterprise - SQL - dbt - Python - Tableau - DataGrip - Jira - Confluence About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you. ", "summaryDescription" : "Data Product Manager at Chainalysis. Skills: Data Product Management, Data Strategy, Analytics, Product Thinking. Own design of data products. Own discovery of data products", "createdAt" : "2026-06-16T01:59:53.009", "lastUpdated" : "2026-06-16T10:45:00.669", "ingestTimestamp" : "2026-06-16T01:59:53.009", "mongoId" : "6a307ecdf292fd229c0528ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization", "Communication skills", "Data Product Management", "Data Strategy", "Analytics", "Product Thinking", "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Stakeholder management", "Problem analysis", "Agile environments", "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "ARR", "Churn", "NRR", "LTV:CAC", "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "skillCount" : 36, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c95ac74d8ee00a098db0e", "title" : "Sr Manager Data Analytics, Marketing", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:52:41.454", "fingerprint" : "4834bdf7196e077b4e681b9894ca6960f634b3b890cce695edf3cbe83a6d9cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4239983009", "externalId" : "4239983009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Business intelligence", "Quantitative analysis", "ML framework development" ], "hardSkillsList" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Monitor performance, Ensure nuances communicated, Partner with Data Science, Partner with Experimentation teams, Design value metrics, Design testing, Evaluate performance, Contribute to development, Iteratively improve acquisition performance, Drive decision making, Create regular insights, Create ad hoc insights, Gather insights metrics, Gather insights activities, Present insights metrics, Present insights activities, Build relationships with stakeholders, Drive acquisition performance, Collaborate with Analysts, Collaborate with Data Scientists, Find solutions to business problems, Remain current on technology, Remain current on trends", "teamCollaboration" : "Digital Acquisition team; Sportsbook team; Casino team; Data teams; Other Analysts; Data Scientists", "domainKnowledge" : "Sports betting; iGaming platform; Online sports betting; Statistical model development; High-growth environments; Betting and gaming industry", "domainList" : [ "sports-betting", "igaming-platform", "online-sports-betting", "statistical-model-development", "high-growth-environments", "betting-and-gaming-industry" ], "domainSpecificKnowledge" : [ "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Presenting insights; Advisory", "problemSolvingSkills" : "Logical approach; Analytical approach", "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, Required degrees in Computer Science, Required degrees in Mathematics", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Role: We are seeking a Senior Analytics Manager to join the Fanatics Betting monitor and ensure that nuances are communicated effectively. Partner closely with Data Science and Experimentation teams to design value metrics and testing, and evaluate performance. Contribute to the development and iterative improvement of our acquisition performance, using insights to drive and influence decision making. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Build strong relationships with internal stakeholders in the Digital Acquisition team, as well as across the Sportsbook, Casino, and Data teams, and become a key voice in driving acquisition performance. Collaboration with other Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting a strong understanding of the considerations required to run these tests. Experience in and a strong understanding of statistical model development. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationship, and to influence senior leadership. Confident with presenting insights to non-technical audiences, seeking to match the analysis to the business context, and making recommendations on further steps. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and skills. Previous experience in the betting and gaming industry is a significant plus. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Sr Manager Data Analytics, Marketing at Fanatics Betting & Gaming. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Monitor performance. Ensure nuances communicated", "postedDate" : "2026-06-14T08:37:35.573", "createdAt" : "2026-06-14T08:37:35.573", "lastUpdated" : "2026-06-15T09:52:41.454", "ingestTimestamp" : "2026-06-14T08:37:35.573", "mongoId" : "6a2c95ac74d8ee00a098db0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development", "Leadership", "Critical thinking", "Machine learning", "Business intelligence", "Data engineering", "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Quantitative analysis", "ML framework development", "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91dd74d8ee00a0984371", "title" : "Sr. Data Engineer", "company" : "LogicMonitor", "industry" : "SaaS", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Pune, India, adjusted for the technology industry and company size." }, "location" : "Pune, Maharashtra, India", "locations" : [ "Pune", "Maharashtra", "India" ], "timestamp" : "2026-06-15T08:34:40.503", "fingerprint" : "bb04226f95be57b3fd45824f6071bc652c45d5f04431b608eb071e3b6458b7f8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.logicmonitor.com/career/?gh_jid=7929699", "externalId" : "7929699", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Airflow, Snowflake, Dbt cloud", "professionalSkills" : [ "Data warehousing", "Data modelling", "Data pipelines", "Data transformation", "Data integration", "Data architecture", "Database performance" ], "hardSkillsList" : [ "Data engineering", "Data pipelines", "Data models", "Data processing", "Data transformation", "Data cleaning", "Data organization", "Data architecture", "Database optimization", "Query optimization" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Database optimization", "level" : "intermediate" }, { "name" : "Query optimization", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data pipelines, Data warehousing", "majorSkillsList" : [ "Data engineering", "Data pipelines", "Data warehousing" ], "coreResponsibilities" : "Build data pipelines, Maintain data pipelines, Process data, Empower analytics, Optimize pipelines, Optimize dashboards, Optimize frameworks, Optimize systems, Develop data products, Transform raw data, Clean data, Organize data, Actionable data formats, Troubleshoot data transformation, Troubleshoot data integration, Drive data compute infrastructure, Manage data compute infrastructure, Optimize data compute infrastructure, Drive data storage infrastructure, Manage data storage infrastructure, Optimize data storage infrastructure, Lead data security tasks, Create data architecture artifacts, Maintain data architecture artifacts", "teamCollaboration" : "Work with stakeholders; Support data consumers", "domainKnowledge" : "Hybrid observability; Digital infrastructure; On-premises environments; Cloud environments; Edge environments; IT infrastructure management", "domainList" : [ "hybrid-observability", "digital-infrastructure", "on-premises-environments", "cloud-environments", "edge-environments", "it-infrastructure-management" ], "domainSpecificKnowledge" : [ "Hybrid observability", "Digital infrastructure", "On-premises environments", "Cloud environments", "Edge environments", "IT infrastructure management" ], "toolProficiency" : [ "Airflow", "Snowflake", "Dbt cloud" ], "documentationSkills" : "Data architecture artifacts", "problemSolvingSkills" : "Troubleshoot data transformation; Troubleshoot data integration", "qualificationsBasic" : "4+ years Data Engineering experience, 2+ years Airflow experience, 2+ years Snowflake experience, 2+ years dbt cloud experience, Bachelor's degree technical field, Expert SQL proficiency, Expert Python proficiency, Optimize database/query performance", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This position is located in Pune. You'll be working in a major tech center of Pune, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best. To learn more about life at LogicMonitor, check out our Careers Page. What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! The Senior Data Engineer is part of the Data Management and Business Intelligence team and is responsible for making big data actionable by implementation and ongoing maintenance of LogicMonitor data warehouse and reporting tools. You will design, build, and oversee the deployment and operation of the technology used to manage, store, and utilize data from internal and external sources. The role will assists with user interface and business applications design and work with stakeholders to ensure database specifications, tables, and element attributes are accessible as required. You'll be responsible for designing, developing, and maintaining data solutions to support our broad profile of enthusiastic data consumers. You'll work closely with stakeholders across different departments to understand their data needs and develop technical data solutions such as new data pipelines, models, and transformations. Here's a closer look at this key role: Build and maintain data pipelines for processing data and empowering analytics at scale, utilizing Airflow and Snowflake Optimize pipelines, dashboards, frameworks, and systems to facilitate development of data products Transform raw data into cleaned, organized and actionable formats Troubleshoot data transformation and integration issues Drive design, management, and optimization of our data compute and storage infrastructure Lead the analysis and resolution of data security tasksCreate and maintain data architecture artifacts What You'll Need: 4+ years experience in a Data Engineering role, with a focus on building data pipelines and models. 2+ years experience with Airflow, Snowflake, dbt cloud Bachelor's degree in a technical or quantitative field (e. g. Math, Statistics, Computer Science, Data Science) or equivalent experience Expert proficiency in SQL, Python Experience optimizing database/query performance Proven track record of having implemented, enhanced and supported data warehouse systems and reporting tools Ability to work autonomously and lead medium to high complexity projects Preferred, not required Domain analytical experience with Financial, Customer Success, or Human Resources data MLOps or AIOps Experience using FiveTran, Looker, PowerBI Click here to read our International Applicant Privacy Notice. LogicMonitor is an Equal Opportunity Employer At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best. For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Notice Regarding Use of AI in Hiring We use artificial intelligence tools to assist with reviewing job applications, such as matching skills and experience to job requirements. These tools support, but do not replace, human review. All hiring decisions are made by our recruiting and hiring teams. You may opt out of AI processing at any time, and your application will still be reviewed. To opt out, please contact us at opt.out@logicmonitor.com. By submitting your application, you acknowledge this notice. Our goal is to ensure an accessible and inclusive experience for every candidate. If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form. Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U. S. Pay Transparency Nondiscrimination Provision.", "summaryDescription" : "Sr. Data Engineer at LogicMonitor. Skills: Data engineering, Data pipelines, Data warehousing. Build data pipelines. Maintain data pipelines", "postedDate" : "2026-06-14T04:47:17.024", "createdAt" : "2026-06-14T04:47:17.024", "lastUpdated" : "2026-06-15T08:34:40.503", "ingestTimestamp" : "2026-06-14T04:47:17.024", "mongoId" : "6a2c91dd74d8ee00a0984371", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Data pipelines", "Data models", "Data processing", "Data transformation", "Data cleaning", "Data organization", "Data architecture", "Database optimization", "Query optimization", "Data warehousing", "Data modelling", "Data integration", "Database performance", "Hybrid observability", "Digital infrastructure", "On-premises environments", "Cloud environments", "Edge environments", "IT infrastructure management", "Airflow", "Snowflake", "Dbt cloud" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305195f292fd229cf02bf7", "title" : "Sr. Business Analyst- HR Data", "company" : "Esri", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Analyst- HR Data in Redlands, United States, adjusted for seniority and technology industry." }, "location" : "Redlands, CA", "locations" : [ "Redlands", "CA" ], "timestamp" : "2026-06-16T07:28:05.534", "fingerprint" : "887d2cc51777c8b35b10832ef7e53f39b42916f071ddb02963b5cc984ead7759", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.esri.com/careers/5164800007?gh_jid=5164800007", "externalId" : "5164800007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redlands", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0550328,-117.1827445" } ], "locationText" : "Redlands, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Overview Engage with Esri’s Human Resources organization as a Sr Business Analyst, applying prior experience supporting HR business intelligence needs to understand business challenges and information needs, assess data availability and quality, design data visuals, and implement endorsed information products. Be part of a dynamic collaborative environment and join the team at our stunning campus in Redlands, CA, where your HR-focused analytical skills will help drive strategic business decisions. Responsibilities Elicit requirements using a variety of techniques including interviews, workshops, surveys, and analysis of existing processes, documentation, and information products Produce project artifacts including requirements documentation, use cases, business process modeling through workflows, data models, permissions models, RACI matrices, and data visuals Use your creativity and analytical skills to evaluate information gathered from multiple sources, reconciling conflicts, and distilling high-level information into detailed requirements Collaborate with colleagues to analyze information, define and prioritize requirements, evaluate potential solutions, provide recommendations to stakeholders, and deliver meaningful information products Work closely with team members to ensure data requirements can be met within acceptable response times and reliability Produce dashboards and reports using Power BI and regularly review for new features and functionality Requirements 5+ years of direct work experience in a business analyst capacity supporting the business intelligence needs of Human Resources organizations Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives) and subject matter Excellent interpersonal skills including diplomacy, negotiating, reasoning, problem solving, and influence Strong analytical skills, including a thorough understanding of how to interpret business needs Strong facilitation skills to gain requirements from various personalities across the organization Ability to set priorities, plan, and independently execute tasks in a structured manner while working in a fast-paced environment Bachelor’s degree in business, mathematics, or related field Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the US Recommended Qualifications Prior experience designing and building information products supporting Human Resources Working knowledge of collaboration and analysis tools including Visio, Lucid charts, Microsoft 365 Office Suite, SharePoint, and Teams Experience working with business intelligence and analytical reporting tools Familiar with SQL, relational databases, and tabular data model #LI-JH2 #LI-Onsite Total Rewards Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is $72,800—$135,200 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.", "summaryDescription" : "Sr. Business Analyst- HR Data at Esri", "postedDate" : "2026-06-15T23:19:16.340", "createdAt" : "2026-06-15T23:19:16.340", "lastUpdated" : "2026-06-16T07:28:05.534", "ingestTimestamp" : "2026-06-15T23:19:16.340", "mongoId" : "6a305195f292fd229cf02bf7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb62", "title" : "Sr Business Solutions Data Analyst", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Universal City, CALIFORNIA, United States", "locations" : [ "Universal City", "CALIFORNIA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:54:54.937", "fingerprint" : "573df74f46a123893d4c72a69cfe2c1a4390911bc45d7a765ec4bc1462ce7c3c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132223399-sr-business-solutions-data-analyst", "externalId" : "744000132223399", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Universal City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1419225,-118.3584110" } ], "locationText" : "Universal City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Spark, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Business intelligence", "Data warehousing", "ETL processes" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Machine learning", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Machine learning" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Identify trends and insights, Present findings to leadership, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience in data analytics, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : false, "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The Sr. Data Analyst, Business Solutions will join the Film & TV Studios Technical Solutions team within Studios Technology Solutions. This role supports analytics initiatives across the Film and TV business, advancing the growth, adoption, and effective use of data as a strategic capability. The Sr. Data Analyst partners closely with business stakeholders and enterprise data engineering teams to analyze complex datasets, generate actionable insights, and deliver scalable analytics solutions that drive strategic decision-making across Universal Entertainment. This role supports key business areas including but not limited to Global Data Strategy, Film Strategy & Business Development, Marketing, Theatrical Distribution, and Finance. RESPONSIBILITIES: * Perform in-depth analysis across Universal Entertainment business areas, including Marketing, Global Data Strategy, and Business Development, to generate actionable insights that support data-driven decision-making * Translate business questions and stakeholder requirements into analytical frameworks and scalable reporting solutions aligned with enterprise analytics strategy and roadmap priorities * Build, enhance, and maintain dashboards and self-service analytics tools using BI platforms such as Tableau, Power BI, or Looker * Partner with Engineering and Enterprise data teams to support data pipelines, integrations, data quality, and analytics readiness across initiatives * Write advanced SQL queries to extract, transform, validate, and analyze large datasets across enterprise data platforms * Support the implementation, enhancement, and enterprise adoption of analytics solutions * Communicate insights clearly through data storytelling, visualization, and stakeholder presentations * Contribute to advanced analytics initiatives, including audience insights, forecasting, experimentation, and ML/AI-enabled use cases * All other duties as assigned ## Qualifications REQUIREMENTS: * Bachelor's degree in computer science, statistics, data analytics or related field (or equivalent experience) * 5+ years of experience in data analytics, business intelligence or analytics-focused roles * Advanced proficiency in SQL for complex querying, data validation, and analysis * Strong experience working with enterprise data platforms and analytics tools * Experience translating business requirements into analytical frameworks and reporting solutions * Experience analyzing and validating marketing, audience, or digital performance datasets * Experience with BI and data visualization tools (Tableau, Power BI, or Looker) * Experience working with large datasets across multiple data sources and systems * Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights * Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams * Excellent communication skills with the ability to explain analytical findings to non-technical audiences * Ability to manage analytics work independently across multiple initiatives in a fast-paced environment PREFERRED QUALIFICATIONS: * Experience working in the global Media & Entertainment industry * Understanding of the Film, TV, and Streaming landscape, including digital marketing and consumer behavior trends * Experience in the following data platforms and technologies: BigQuery, Snowflake, Vertex AI, Cloud Composer, BigQuery ML, AutoML AWS, S3, Python and SQL * Experience in television networks, television studios, and streaming a plus * Experience supporting large-scale analytics programs or enterprise analytics initiatives * Demonstrated ability to adopt new technologies quickly and articulate their business value * Proactive, self-directed work style with strong initiative and the ability to manage work independently Additional Requirements Hybrid : This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $110,000 - $140,000. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Business Solutions Data Analyst at NBCUniversal. Skills: Data analysis, Business intelligence, Machine learning. Develop and maintain BI dashboards. Analyze complex datasets", "postedDate" : "2026-06-15T14:47:22.000", "createdAt" : "2026-06-16T00:31:35.590", "lastUpdated" : "2026-06-16T12:54:54.937", "ingestTimestamp" : "2026-06-16T00:31:35.590", "mongoId" : "6a306afff292fd229cfceb62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning", "Business intelligence", "Data modeling", "Statistical analysis", "Data warehousing", "ETL processes", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304ff3f292fd229ceeb333", "title" : "Sr Business Solutions Data Analyst", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Universal City, CALIFORNIA, United States", "locations" : [ "Universal City", "CALIFORNIA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:03:01.402", "fingerprint" : "639c04386d0c4d8cbbaf91346f978eb0db89ac8caf4081e5b48ed29c43edee52", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132223399-sr-business-solutions-data-analyst", "externalId" : "744000132223399", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Universal City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1419225,-118.3584110" } ], "locationText" : "Universal City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Spark, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Business intelligence", "Data warehousing", "ETL processes" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Machine learning", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Machine learning" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Identify trends and insights, Present findings to leadership, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience in data analytics, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : false, "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The Sr. Data Analyst, Business Solutions will join the Film & TV Studios Technical Solutions team within Studios Technology Solutions. This role supports analytics initiatives across the Film and TV business, advancing the growth, adoption, and effective use of data as a strategic capability. The Sr. Data Analyst partners closely with business stakeholders and enterprise data engineering teams to analyze complex datasets, generate actionable insights, and deliver scalable analytics solutions that drive strategic decision-making across Universal Entertainment. This role supports key business areas including but not limited to Global Data Strategy, Film Strategy & Business Development, Marketing, Theatrical Distribution, and Finance. RESPONSIBILITIES: * Perform in-depth analysis across Universal Entertainment business areas, including Marketing, Global Data Strategy, and Business Development, to generate actionable insights that support data-driven decision-making * Translate business questions and stakeholder requirements into analytical frameworks and scalable reporting solutions aligned with enterprise analytics strategy and roadmap priorities * Build, enhance, and maintain dashboards and self-service analytics tools using BI platforms such as Tableau, Power BI, or Looker * Partner with Engineering and Enterprise data teams to support data pipelines, integrations, data quality, and analytics readiness across initiatives * Write advanced SQL queries to extract, transform, validate, and analyze large datasets across enterprise data platforms * Support the implementation, enhancement, and enterprise adoption of analytics solutions * Communicate insights clearly through data storytelling, visualization, and stakeholder presentations * Contribute to advanced analytics initiatives, including audience insights, forecasting, experimentation, and ML/AI-enabled use cases * All other duties as assigned ## Qualifications REQUIREMENTS: * Bachelor's degree in computer science, statistics, data analytics or related field (or equivalent experience) * 5+ years of experience in data analytics, business intelligence or analytics-focused roles * Advanced proficiency in SQL for complex querying, data validation, and analysis * Strong experience working with enterprise data platforms and analytics tools * Experience translating business requirements into analytical frameworks and reporting solutions * Experience analyzing and validating marketing, audience, or digital performance datasets * Experience with BI and data visualization tools (Tableau, Power BI, or Looker) * Experience working with large datasets across multiple data sources and systems * Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights * Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams * Excellent communication skills with the ability to explain analytical findings to non-technical audiences * Ability to manage analytics work independently across multiple initiatives in a fast-paced environment PREFERRED QUALIFICATIONS: * Experience working in the global Media & Entertainment industry * Understanding of the Film, TV, and Streaming landscape, including digital marketing and consumer behavior trends * Experience in the following data platforms and technologies: BigQuery, Snowflake, Vertex AI, Cloud Composer, BigQuery ML, AutoML AWS, S3, Python and SQL * Experience in television networks, television studios, and streaming a plus * Experience supporting large-scale analytics programs or enterprise analytics initiatives * Demonstrated ability to adopt new technologies quickly and articulate their business value * Proactive, self-directed work style with strong initiative and the ability to manage work independently Additional Requirements Hybrid : This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $110,000 - $140,000. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Business Solutions Data Analyst at NBCUniversal. Skills: Data analysis, Business intelligence, Machine learning. Develop and maintain BI dashboards. Analyze complex datasets", "postedDate" : "2026-06-15T14:47:22.000", "createdAt" : "2026-06-15T21:34:51.830", "lastUpdated" : "2026-06-16T06:03:01.402", "ingestTimestamp" : "2026-06-15T21:34:51.830", "mongoId" : "6a304ff3f292fd229ceeb333", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning", "Business intelligence", "Data modeling", "Statistical analysis", "Data warehousing", "ETL processes", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c95e474d8ee00a098e233", "title" : "Sr. Data Engineer", "company" : "Five9", "industry" : "Technology", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Data Engineer in India, adjusted for seniority, SaaS industry, and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T10:03:33.530", "fingerprint" : "b0d2e444bc123096ac07f0aab342443d4de46e0be29b8236bcec6f5a291c594d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.five9.com/about/careers/job-detail?gh_jid=6010961004", "externalId" : "6010961004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "Data Engineering, Data Platform, Data Transformation, Data Modeling, Snowflake, Data Streaming, Kafka, Kafka Connect, Distributed Systems, Microservices, REST APIs, Java, NET, Python, SQL, Apache Airflow, Containerization, Kubernetes, AWS, Infrastructure-as-code", "professionalSkills" : [ "Technical initiatives", "Code quality", "Test automation", "Operational excellence" ], "hardSkillsList" : [ "Data transformation", "Data modeling", "ETL", "ELT", "Object-oriented programming", "Functional programming" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "Object-oriented programming", "level" : "intermediate" }, { "name" : "Functional programming", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Data Platform, Snowflake, ETL/ELT pipelines", "majorSkillsList" : [ "Data Engineering", "Data Platform", "Snowflake", "ETL/ELT pipelines" ], "coreResponsibilities" : "Design Customer Data Platform solutions, Enable production use cases, Develop scalable services, Develop resilient services, Ingest large-scale datasets, Ensure operational excellence, Focus on monitoring, Focus on observability, Focus on system reliability, Develop ETL/ELT pipelines, Orchestrate ETL/ELT pipelines, Collaborate with partners, Lead technical initiatives, Design distributed query engines, Build distributed query engines, Optimize distributed query engines, Support complex data workloads, Write technical proposals, Review technical proposals, Provide feedback on proposals", "teamCollaboration" : "Cross-functional partners; Data science stakeholders; Engineering stakeholders; Product stakeholders", "domainKnowledge" : "Customer Data Platform; Data warehousing; Data streaming; Distributed systems; Microservices; REST APIs; Cloud platform; Infrastructure-as-code", "domainList" : [ "customer-data-platform", "data-warehousing", "data-streaming", "distributed-systems", "microservices", "rest-apis", "cloud-platform", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Customer Data Platform", "Data warehousing", "Data streaming", "Distributed systems", "Microservices", "REST APIs", "Cloud platform", "Infrastructure-as-code" ], "toolProficiency" : [ "Apache Airflow", "Spark", "Snowflake", "AWS" ], "communicationSkills" : "Written communication; Verbal communication; Interpersonal skills", "outcomesObjectives" : "Support real-time decision-making; Support personalization at scale; Support actionable customer insights; Deliver scalable data engineering solutions", "qualificationsBasic" : "5-7 years software/data engineering, 5-7 years data platform experience, Extensive data transformation experience, Extensive data modeling experience, Proficiency in Java, .NET, Python, SQL, Knowledge of distributed systems, Knowledge of microservices, Knowledge of REST APIs", "qualificationsPreferred" : "Knowledge of Apache Airflow, Understanding of containerization, Understanding of Kubernetes concepts", "rawDescription" : "Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. About the Job We are building a Customer Data Platform (CDP) designed to unlock the full potential of customer experience (CX) across our products and services. This role offers the opportunity to design and scale a platform that unifies customer data from multiple sources, ensures data quality and governance, and provides a single source of truth for analytics, personalization, and engagement. As a key member of the data engineering team, you will architect and implement the pipelines, storage layers, and integrations that power our CDP. You’ll work with product, data science, and engineering stakeholders to deliver a robust platform that supports real-time decision-making, personalization at scale, and actionable customer insights. This is a high-impact, hands-on engineering role where you’ll shape the data foundation that directly influences how we understand and serve our customers. What You Will Be Doing Design and implement Five9’s Customer Data Platform solutions and enable production use cases for customers Design and develop highly scalable and resilient services for ingesting large-scale datasets Demonstrate strong ownership by ensuring operational excellence with a sharp focus on monitoring, observability, and system reliability Develop and orchestrate ETL/ELT pipelines using Apache Airflow Collaborate with cross-functional partners and lead technical initiatives independently end-to-end Design, build, and optimize distributed query engines such as Apache Spark or Snowflake to support complex data workloads Write, review, or provide feedback on technical design proposals from others Skills 5–7 years of software/data engineering and data platform experience Extensive experience with data transformation and modeling, including advanced features and best practices Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management Good understanding of data streaming technologies such as Kafka/Kafka Connect Strong knowledge of highly scalable distributed systems, microservices, REST APIs Strong proficiency in object-oriented and/or functional programming languages such as Java, .NET, Python, and SQL for data processing, transformation, and pipeline development Knowledge of Apache Airflow for workflow orchestration is nice to have Understanding of containerization and Kubernetes concepts Experience with the AWS cloud platform and infrastructure-as-code practices Maintain high standards of code quality with a keen eye for test automation and operational excellence Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases Excellent written and verbal communication and interpersonal skills Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills.  The more inclusive we are, the better we are.  Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.", "summaryDescription" : "Sr. Data Engineer at Five9. Skills: Data Engineering, Data Platform, Snowflake, ETL/ELT pipelines. Design Customer Data Platform solutions. Enable production use cases", "postedDate" : "2026-06-13T20:59:57.659", "createdAt" : "2026-06-13T20:59:57.659", "lastUpdated" : "2026-06-15T10:03:33.530", "ingestTimestamp" : "2026-06-13T20:59:57.659", "mongoId" : "6a2c95e474d8ee00a098e233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data transformation", "Data modeling", "ETL", "ELT", "Object-oriented programming", "Functional programming", "Data Engineering", "Data Platform", "Snowflake", "ETL/ELT pipelines", "Technical initiatives", "Code quality", "Test automation", "Operational excellence", "Customer Data Platform", "Data warehousing", "Data streaming", "Distributed systems", "Microservices", "REST APIs", "Cloud platform", "Infrastructure-as-code", "Apache Airflow", "Spark", "AWS" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6ce70f0b99d589b27eb", "title" : "Sr. Manager, Enterprise Compliance", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Manager, Enterprise Compliance in Irvine, United States within the Financial Services industry, adjusted for company size and seniority." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T22:31:22.414", "fingerprint" : "2149b280e894c8880ebaf53f3d92ae2a1766fa8f5bc6e94d92482aed89633b0a", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=107083", "externalId" : "107083", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight" ], "hardSkillsList" : [ "Regulatory requirements" ], "hardSkills" : [ { "name" : "Regulatory requirements", "level" : "intermediate" } ], "majorSkills" : "Compliance, Risk management, Legal analysis", "majorSkillsList" : [ "Compliance", "Risk management", "Legal analysis" ], "coreResponsibilities" : "Oversee compliance programs, Manage regulatory requirements, Conduct risk assessments, Analyze legal frameworks, Develop compliance policies, Ensure adherence to regulations, Report on compliance status", "domainKnowledge" : "Financial regulations; Compliance frameworks", "domainList" : [ "financial-regulations", "compliance-frameworks" ], "domainSpecificKnowledge" : [ "Financial regulations", "Compliance frameworks" ], "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Sr. Manager, Enterprise Compliance is responsible for designing and maintaining a robust, risk-based compliance testing framework with capability to test for compliance risk across the portfolio. This includes developing standardized methodologies and test scripts, leveraging large data sets and advanced analytics to ensure testing is statistically sound, scalable, and aligned with regulatory expectations. This role will also focus on governance oversight, including independently reviewing first-line control testing, developing and monitoring Key Risk Indicators (KRIs), and escalating threshold breaches and emerging risk patterns. In addition, this role oversees regulatory complaint response processes, ensuring timely and accurate submissions to the Consumer Federal Protection Bureau (CFPB) and state regulators, conducting root cause analyses, and identifying trends and risks that inform regular reporting to leadership. What You Will Do 1. Program Development & Oversight · Design and maintain a comprehensive, risk-based compliance testing framework. · Develop standardized methodologies, test scripts, and sampling strategies. · Leverage large data sets and advanced analytics to create statistically sound and scalable testing. · Ensure coverage across all business lines and regulatory requirements, including consumer and commercial financing and insurance products. · Incorporate testing of AI tools and processes to ensure compliance with consumer protection laws and emerging regulatory expectations. 2. Continuous Testing and Reporting Team Oversight · Ensure testing team executes on second line testing schedule. · Ensure utilization of automation and AI when practical to improve testing efficiency. · Monitor regulatory developments and ensure updates to testing scripts. · Maintain documentation of testing plans, results, and remediation activities. · Produce dashboards and reports that highlight findings, trends, and risks. · Track remediation progress and verify corrective actions are implemented. · Translate technical and analytical findings into clear, actionable insights for business and leadership. 3. Compliance Governance · Provide oversight and independent review of first line control testing. · Develop, maintain, and refine Compliance Key Risk Indicators (KRIs); monitor thresholds, identify trends, escalate anomalies or threshold breaches. · Lead the escalation process for KRI monitoring, recurring control failures, or emerging risk patterns and ensure timely communication to Compliance leadership and appropriate business leadership · Prepare and deliver materials for reporting compliance risk to the Compliance Review Board · Provide insights and analysis on compliance risk trends, testing outcomes, and remediation status 4. Regulatory Complaint Management Response · Oversee responses for complaints submitted through the CFPB and state regulators ensuring all responses are complete, accurate, and submitted within required timeframes. · Oversee second line review of high risk complaint categories and root cause analysis of issues identified through regulatory complaints · Ensure there is an effective feedback loop and formal tracking for issues · Prepare reports to summarize findings and trends 5. Lead, mentor and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals What You Will Bring · Minimum 8 years of compliance testing and monitoring experience in the financial services industry including the development of Compliance KRIs and executive management reporting · Minimum 3 years supervisory experience. · Bachelor’s degree in business or related discipline. · Advanced degree or compliance/risk certification (e.g., CRCM, CCEP, CRCMP) preferred. · Experience using data analytics and automation tools to test large data sets required · Working knowledge of consumer protection regulations related to consumer lending, including but not limited to, ECOA, FCRA, FDCPA, TILA and GLBA. · Proficiency in SQL, Python, SAS, Tableau, Power BI, or similar tools to query large data sets. · Ability to translate large and complex data into meaningful compliance insights. · Strong skills of Microsoft Office, specifically Excel, Word, and PowerPoint. · Excellent verbal and written communication skills, including ability to communicate with leadership regarding compliance risk. · Exhibit strong analytical and problem solving skills. · Demonstrated ability to coach, develop and manage employee performance. · Must possess strong interpersonal skills and be able to work well in both a team environment and independently. · Ability to adapt quickly to change, handle multiple competing projects, work with complex subject matter, possess keen attention to detail and deliver quality results in a timely manner. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Enterprise Compliance at Hyundai Capital America. Skills: Compliance, Risk management, Legal analysis. Oversee compliance programs. Manage regulatory requirements", "createdAt" : "2026-06-14T21:56:52.142", "lastUpdated" : "2026-06-15T22:31:22.414", "ingestTimestamp" : "2026-06-14T21:56:52.142", "mongoId" : "694ae6ce70f0b99d589b27eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regulatory requirements", "Compliance", "Risk management", "Legal analysis", "Compliance oversight", "Financial regulations", "Compliance frameworks" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e4d74d8ee00a08e2daa", "title" : "Data Steward Lead - Finance (Platforms)", "company" : "WPP", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Steward in the UK Marketing industry, adjusted for seniority and company size." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-14T19:08:36.046", "fingerprint" : "5f9ed54af44dbd224eb9e92737bca20ebefd13bc08be322ad16e6bd62bee0246", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wpp/jobs/8570399002", "externalId" : "8570399002", "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, AI, Machine learning", "professionalSkills" : [ "Master data management", "Data governance", "Stewardship workflows", "Entity resolution", "Data classification", "Source system mapping", "Reference data management", "Data quality monitoring", "Operational reporting" ], "hardSkillsList" : [ "Golden records", "Matching", "Survivorship", "Data investigation", "Data validation", "Data remediation", "Match conflicts resolution", "Entity creation requests" ], "softSkillsList" : [ "Attention to detail", "Organisational skills" ], "hardSkills" : [ { "name" : "Golden records", "level" : "intermediate" }, { "name" : "Matching", "level" : "intermediate" }, { "name" : "Survivorship", "level" : "intermediate" }, { "name" : "Data investigation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data remediation", "level" : "intermediate" }, { "name" : "Match conflicts resolution", "level" : "intermediate" }, { "name" : "Entity creation requests", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" }, { "name" : "Organisational skills" } ], "majorSkills" : "Master data management, Data governance, AI-assisted stewardship", "majorSkillsList" : [ "Master data management", "Data governance", "AI-assisted stewardship" ], "coreResponsibilities" : "Maintain master data, Execute stewardship activities, Review master data records, Approve master data records, Correct master data records, Curate golden records, Apply survivorship rules, Investigate match conflicts, Resolve match conflicts, Process new entity creation requests, Validate source data, Create golden records, Maintain source system mappings, Support onboarding of new source systems, Validate initial data loads, Maintain reference data configurations, Apply data classification standards, Review AI-generated data classifications, Provide feedback to AI, Follow stewardship workflows, Enforce stewardship workflows, Handle exceptions, Manage approval processes, Manage escalation procedures, Maintain documentation, Act as human-in-the-loop, Review AI-suggested matches, Adjudicate merge candidates, Approve golden record updates, Reject golden record updates, Review AI-generated mapping recommendations, Approve mapping recommendations, Provide feedback on AI model outputs, Investigate AI-driven anomaly detection alerts, Determine stewardship actions, Monitor data quality dashboards, Monitor data quality alerts, Investigate data quality exceptions, Apply data quality remediation actions, Execute data quality checks, Document data quality findings, Track data quality resolution, Maintain data quality rules, Update data quality rules, Provide first-line support, Contribute to operational reporting, Support data migration activities, Support reconciliation activities", "domainKnowledge" : "Master data management; Data governance; Enterprise data domains; MDM concepts; Golden records; Matching; Survivorship; Entity resolution; Data classification; Sensitivity; Confidentiality; Regulatory categorisation; AI-assisted matching; Entity resolution; Data quality; ERP data; HCM data", "domainList" : [ "master-data-management", "data-governance", "enterprise-data-domains", "mdm-concepts", "golden-records", "matching", "survivorship", "entity-resolution", "data-classification", "sensitivity", "confidentiality", "regulatory-categorisation", "ai-assisted-matching", "data-quality", "erp-data", "hcm-data" ], "domainSpecificKnowledge" : [ "Master data management", "Data governance", "Enterprise data domains", "MDM concepts", "Golden records", "Matching", "Survivorship", "Entity resolution", "Data classification", "Sensitivity", "Confidentiality", "Regulatory categorisation", "AI-assisted matching", "Entity resolution", "Data quality", "ERP data", "HCM data" ], "toolProficiency" : [ "Informatica MDM", "Informatica Data Governance", "Workday", "SAP", "Dynamics" ], "communicationSkills" : "Document findings; Explain findings", "documentationSkills" : "Documentation of mappings; Documentation of rules; Documentation of structures; Documentation of decisions", "continuousLearning" : "Developing expertise", "problemSolvingSkills" : "Identify discrepancies; Resolve data discrepancies; Identify data problems; Resolve data problems", "qualificationsBasic" : "Experience in data stewardship, Experience in data administration, Experience in master data management, Proficiency in SQL, Understanding of data governance principles", "qualificationsPreferred" : "Familiarity with Informatica MDM, Familiarity with Informatica Data Governance, Experience working with ERP data, Experience working with HCM data", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Steward Lead in the WPP’s Enterprise Technology Data team, you will be responsible for the hands-on administration and maintenance of master data across one or more enterprise data domains. Reporting to the Global Programme Director - Data, you will be the first line of stewardship, ensuring that golden records are accurate, source system mappings are maintained, and data governance standards are consistently applied. You will execute matching and mapping activities, triage stewardship exceptions, and support the onboarding of new source systems into the MDM framework. Your work will directly impact the trustworthiness and completeness of master data flowing through WPP’s enterprise platforms. This role involves daily data administration including investigating and resolving match conflicts, maintaining entity mappings and hierarchies, classifying data assets, and supporting the operational processes that keep master data healthy across the enterprise. You will be part of a Data Steward team led by the Global Programme Director - Data, with the opportunity to develop deep expertise in master data management, data governance, and stewardship at enterprise scale. What you'll be doing: Master data stewardship and golden record maintenance Execute day-to-day stewardship activities including reviewing, approving, and correcting master data records in line with governance standards set by the Global Programme Director - Data. Maintain and curate golden records, ensuring survivorship rules are correctly applied and master entities remain accurate and complete. Investigate and resolve match conflicts, potential duplicates, and merge exceptions, escalating complex cases to the Global Programme Director - Data with supporting analysis. Process new entity creation requests, validating source data against matching rules before golden record creation. Source system mapping and onboarding support Manage and maintain mappings between source system entities and golden master records, ensuring traceability and accuracy. Support the onboarding of new agencies and source systems by executing mapping activities and validating initial data loads against MDM standards. Maintain reference data configurations, ensuring code sets and lookup values remain aligned across source systems. Data governance and classification Apply data classification standards to master data entities as defined by the governance framework, covering sensitivity, confidentiality, and regulatory categorisation. Review and correct AI-generated data classifications, providing feedback to improve automated tagging accuracy over time. Follow and enforce stewardship workflows including exception handling, approval processes, and escalation procedures. Maintain accurate documentation of entity mappings, transformation rules, hierarchy structures, and stewardship decisions. AI-assisted stewardship operations Act as the human-in-the-loop for AI-assisted matching and entity resolution, reviewing model-suggested matches, adjudicating low-confidence merge candidates, and approving or rejecting proposed golden record updates. Review and validate AI-generated mapping recommendations during source system onboarding, ensuring accuracy before mappings are committed. Provide feedback on AI model outputs to support continuous improvement of match accuracy, classification quality, and enrichment relevance. Work with AI-driven anomaly detection alerts, investigating flagged records and determining appropriate stewardship actions. Data quality monitoring and remediation Monitor data quality dashboards and alerts, investigating exceptions and applying remediation actions in a timely manner. Execute data quality checks across master data entities, documenting findings and tracking resolution through to completion. Maintain and update data quality rules as business requirements and source systems evolve, under the direction of the Data Manager. Operational reporting and team support Provide first-line support for master data issues raised by downstream consumers and business users. Contribute to operational reporting on stewardship volumes, exception trends, match rates, and resolution times. Support data migration and reconciliation activities during source system onboarding and platform changes. What you'll need: Experience in a data stewardship, data administration, or master data management role. Practical understanding of MDM concepts including golden records, matching, survivorship, and entity resolution. Familiarity with enterprise master data management and data governance solutions (e. g. Informatica MDM, Informatica Data Governance) or equivalent platforms is desirable. Proficiency in SQL for data investigation, validation, and reporting. Understanding of data governance principles including data classification, ownership, and stewardship workflows. Willingness to work with AI and machine learning tools as part of day-to-day stewardship operations, including reviewing AI-suggested matches, classifications, and enrichments. Experience working with ERP or HCM data (Workday, SAP, Dynamics, or similar) is an advantage. Attention to detail with the ability to identify and resolve data discrepancies methodically. Strong organisational skills with the ability to manage multiple concurrent stewardship tasks and priorities. Good communication skills with the ability to document and explain findings clearly to both technical and business audiences. Self-motivated with a proactive approach to identifying and resolving data problems. Enthusiasm for developing expertise in master data management, data governance, and AI-assisted data operations. Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.", "summaryDescription" : "Data Steward Lead - Finance (Platforms) at WPP. Skills: Master data management, Data governance, AI-assisted stewardship. Maintain master data. Execute stewardship activities", "postedDate" : "2026-06-12T22:22:21.263", "createdAt" : "2026-06-12T22:22:21.263", "lastUpdated" : "2026-06-14T19:08:36.046", "ingestTimestamp" : "2026-06-12T22:22:21.263", "mongoId" : "6a2c5e4d74d8ee00a08e2daa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Golden records", "Matching", "Survivorship", "Data investigation", "Data validation", "Data remediation", "Match conflicts resolution", "Entity creation requests", "Attention to detail", "Organisational skills", "Master data management", "Data governance", "AI-assisted stewardship", "Stewardship workflows", "Entity resolution", "Data classification", "Source system mapping", "Reference data management", "Data quality monitoring", "Operational reporting", "Enterprise data domains", "MDM concepts", "Sensitivity", "Confidentiality", "Regulatory categorisation", "AI-assisted matching", "Data quality", "ERP data", "HCM data", "Informatica MDM", "Informatica Data Governance", "Workday", "SAP", "Dynamics" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "technology-&-innovation", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5e4d74d8ee00a08e2dab", "title" : "Data Steward Lead - People (Platforms)", "company" : "WPP", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Lead Data Steward in London, UK, adjusted for the marketing industry and WPP's company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T00:49:35.492", "fingerprint" : "4a90c9ba9568daff5178eb8c512e35c8fa9f897643598697f347ffa341c57138", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wpp/jobs/8570395002", "externalId" : "8570395002", "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, AI, Machine learning", "professionalSkills" : [ "Master data stewardship", "Golden record maintenance", "Source system mapping", "Data governance", "Data classification", "AI-assisted stewardship", "Data quality monitoring", "Operational reporting" ], "hardSkillsList" : [ "Match conflicts resolution", "Entity resolution", "Data validation", "Data remediation" ], "softSkillsList" : [ "Open", "Open-minded", "Optimistic", "Extraordinary" ], "hardSkills" : [ { "name" : "Match conflicts resolution", "level" : "intermediate" }, { "name" : "Entity resolution", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data remediation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Open" }, { "name" : "Open-minded" }, { "name" : "Optimistic" }, { "name" : "Extraordinary" } ], "majorSkills" : "Master data management, Data governance, AI-assisted data operations", "majorSkillsList" : [ "Master data management", "Data governance", "AI-assisted data operations" ], "coreResponsibilities" : "Administer and maintain master data, Ensure golden records are accurate, Maintain source system mappings, Apply data governance standards, Execute matching and mapping activities, Triage stewardship exceptions, Support onboarding of new source systems, Investigate and resolve match conflicts, Maintain entity mappings and hierarchies, Classify data assets, Support operational processes, Review master data records, Approve master data records, Correct master data records, Curate golden records, Apply survivorship rules, Resolve potential duplicates, Merge exceptions, Process new entity creation requests, Validate source data, Maintain mappings between source systems, Ensure traceability and accuracy, Support onboarding of new agencies, Validate initial data loads, Maintain reference data configurations, Align code sets and lookup values, Apply data classification standards, Cover sensitivity categorization, Cover confidentiality categorization, Cover regulatory categorization, Review AI-generated data classifications, Provide feedback to AI, Enforce stewardship workflows, Handle exceptions, Manage approval processes, Manage escalation procedures, Document entity mappings, Document transformation rules, Document hierarchy structures, Document stewardship decisions, Act as human-in-the-loop for AI, Review model-suggested matches, Adjudicate low-confidence merge candidates, Approve AI proposed updates, Reject AI proposed updates, Review AI-generated mapping recommendations, Commit mappings, Provide feedback on AI model outputs, Investigate AI anomaly detection alerts, Determine stewardship actions, Monitor data quality dashboards, Monitor data quality alerts, Apply remediation actions, Execute data quality checks, Document data quality findings, Track data quality resolution, Update data quality rules, Provide first-line support for issues, Contribute to operational reporting, Support data migration activities, Support reconciliation activities", "teamCollaboration" : "Enterprise Technology Data team; Data Steward team", "domainKnowledge" : "Master data management; Data governance; MDM concepts; Golden records; Matching; Survivorship; Entity resolution; Data classification; Stewardship workflows; ERP data; HCM data", "domainList" : [ "master-data-management", "data-governance", "mdm-concepts", "golden-records", "matching", "survivorship", "entity-resolution", "data-classification", "stewardship-workflows", "erp-data", "hcm-data" ], "domainSpecificKnowledge" : [ "Master data management", "Data governance", "MDM concepts", "Golden records", "Matching", "Survivorship", "Entity resolution", "Data classification", "Stewardship workflows", "ERP data", "HCM data" ], "toolProficiency" : [ "Informatica MDM", "Informatica Data Governance" ], "communicationSkills" : "Document findings; Explain findings", "documentationSkills" : "Maintain documentation", "continuousLearning" : "Developing expertise", "problemSolvingSkills" : "Identify discrepancies; Resolve data discrepancies; Identify data problems; Resolve data problems", "qualificationsBasic" : "Experience in data stewardship, Experience in data administration, Experience in master data management, Practical understanding of MDM concepts, Proficiency in SQL, Understanding of data governance principles, Willingness to work with AI tools, Attention to detail, Organisational skills, Good communication skills, Self-motivated, Enthusiasm for developing expertise", "qualificationsPreferred" : "Familiarity with Informatica MDM, Familiarity with Informatica Data Governance, Experience working with ERP data, Experience working with HCM data, Experience with Workday, Experience with SAP, Experience with Dynamics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Steward in the WPP’s Enterprise Technology Data team, you will be responsible for the hands-on administration and maintenance of master data across one or more enterprise data domains. Reporting to the Global Programme Director - Data, you will be the first line of stewardship, ensuring that golden records are accurate, source system mappings are maintained, and data governance standards are consistently applied. You will execute matching and mapping activities, triage stewardship exceptions, and support the onboarding of new source systems into the MDM framework. Your work will directly impact the trustworthiness and completeness of master data flowing through WPP’s enterprise platforms. This role involves daily data administration including investigating and resolving match conflicts, maintaining entity mappings and hierarchies, classifying data assets, and supporting the operational processes that keep master data healthy across the enterprise. You will be part of a Data Steward team led by the Global Programme Director - Data, with the opportunity to develop deep expertise in master data management, data governance, and stewardship at enterprise scale. What you'll be doing: Master data stewardship and golden record maintenance Execute day-to-day stewardship activities including reviewing, approving, and correcting master data records in line with governance standards set by the Global Programme Director - Data. Maintain and curate golden records, ensuring survivorship rules are correctly applied and master entities remain accurate and complete. Investigate and resolve match conflicts, potential duplicates, and merge exceptions, escalating complex cases to the Global Programme Director - Data with supporting analysis. Process new entity creation requests, validating source data against matching rules before golden record creation. Source system mapping and onboarding support Manage and maintain mappings between source system entities and golden master records, ensuring traceability and accuracy. Support the onboarding of new agencies and source systems by executing mapping activities and validating initial data loads against MDM standards. Maintain reference data configurations, ensuring code sets and lookup values remain aligned across source systems. Data governance and classification Apply data classification standards to master data entities as defined by the governance framework, covering sensitivity, confidentiality, and regulatory categorisation. Review and correct AI-generated data classifications, providing feedback to improve automated tagging accuracy over time. Follow and enforce stewardship workflows including exception handling, approval processes, and escalation procedures. Maintain accurate documentation of entity mappings, transformation rules, hierarchy structures, and stewardship decisions. AI-assisted stewardship operations Act as the human-in-the-loop for AI-assisted matching and entity resolution, reviewing model-suggested matches, adjudicating low-confidence merge candidates, and approving or rejecting proposed golden record updates. Review and validate AI-generated mapping recommendations during source system onboarding, ensuring accuracy before mappings are committed. Provide feedback on AI model outputs to support continuous improvement of match accuracy, classification quality, and enrichment relevance. Work with AI-driven anomaly detection alerts, investigating flagged records and determining appropriate stewardship actions. Data quality monitoring and remediation Monitor data quality dashboards and alerts, investigating exceptions and applying remediation actions in a timely manner. Execute data quality checks across master data entities, documenting findings and tracking resolution through to completion. Maintain and update data quality rules as business requirements and source systems evolve, under the direction of the Data Manager. Operational reporting and team support Provide first-line support for master data issues raised by downstream consumers and business users. Contribute to operational reporting on stewardship volumes, exception trends, match rates, and resolution times. Support data migration and reconciliation activities during source system onboarding and platform changes. What you'll need: Experience in a data stewardship, data administration, or master data management role. Practical understanding of MDM concepts including golden records, matching, survivorship, and entity resolution. Familiarity with enterprise master data management and data governance solutions (e. g. Informatica MDM, Informatica Data Governance) or equivalent platforms is desirable. Proficiency in SQL for data investigation, validation, and reporting. Understanding of data governance principles including data classification, ownership, and stewardship workflows. Willingness to work with AI and machine learning tools as part of day-to-day stewardship operations, including reviewing AI-suggested matches, classifications, and enrichments. Experience working with ERP or HCM data (Workday, SAP, Dynamics, or similar) is an advantage. Attention to detail with the ability to identify and resolve data discrepancies methodically. Strong organisational skills with the ability to manage multiple concurrent stewardship tasks and priorities. Good communication skills with the ability to document and explain findings clearly to both technical and business audiences. Self-motivated with a proactive approach to identifying and resolving data problems. Enthusiasm for developing expertise in master data management, data governance, and AI-assisted data operations. Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.", "summaryDescription" : "Data Steward Lead - People (Platforms) at WPP. Skills: Master data management, Data governance, AI-assisted data operations. Administer and maintain master data. Ensure golden records are accurate", "postedDate" : "2026-06-12T21:58:45.968", "createdAt" : "2026-06-12T21:58:45.968", "lastUpdated" : "2026-06-15T00:49:35.492", "ingestTimestamp" : "2026-06-12T21:58:45.968", "mongoId" : "6a2c5e4d74d8ee00a08e2dab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Match conflicts resolution", "Entity resolution", "Data validation", "Data remediation", "Open", "Open-minded", "Optimistic", "Extraordinary", "Master data management", "Data governance", "AI-assisted data operations", "Master data stewardship", "Golden record maintenance", "Source system mapping", "Data classification", "AI-assisted stewardship", "Data quality monitoring", "Operational reporting", "MDM concepts", "Golden records", "Matching", "Survivorship", "Stewardship workflows", "ERP data", "HCM data", "Informatica MDM", "Informatica Data Governance" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "technology-&-innovation", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30517bf292fd229cf01161", "title" : "AML Analyst", "company" : "Betsson Group", "industry" : "FinTech", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AML Analyst in Malta, adjusted for mid-seniority and the gaming industry." }, "location" : "Malta", "locations" : [ "Malta" ], "timestamp" : "2026-06-16T06:43:52.800", "fingerprint" : "36daa3b1cb908441dc5936ad7ea0e8108e17b57b0c840d95698f047710d9c974", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/betsson/jobs/8007217", "externalId" : "8007217", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Malta", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Malta", "professionalSkills" : [ "Risk assessment", "Compliance requirements" ], "hardSkillsList" : [ "AML directives", "Fraud detection", "Money laundering detection", "Suspicious activity detection", "Open-source checks" ], "hardSkills" : [ { "name" : "AML directives", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Money laundering detection", "level" : "intermediate" }, { "name" : "Suspicious activity detection", "level" : "intermediate" }, { "name" : "Open-source checks", "level" : "intermediate" } ], "majorSkills" : "AML, CFT, Fraud detection", "majorSkillsList" : [ "AML", "CFT", "Fraud detection" ], "coreResponsibilities" : "Detect monitor and assess player behaviour, Detect monitor and assess player transactions, Review player accounts, Deliver appropriate follow-up, Identify potential AML cases, Keep up to date with business directives, Ensure operational procedures act in accordance with directions, Escalate cases to relevant departments, Review customers at various threshold stages, Spot suspicious or unusual activities, Apply open-source checks on escalated player accounts, Apply internal AML procedures on escalated player accounts, Deal with player queries, Deal with other escalations", "teamCollaboration" : "Specialised and diverse team", "domainKnowledge" : "AML directives; CFT; Money laundering; Suspicious activities; Regulatory requirements; Compliance requirements", "domainList" : [ "aml-directives", "cft", "money-laundering", "suspicious-activities", "regulatory-requirements", "compliance-requirements" ], "domainSpecificKnowledge" : [ "AML directives", "CFT", "Money laundering", "Suspicious activities", "Regulatory requirements", "Compliance requirements" ], "communicationSkills" : "Good communication skills", "problemSolvingSkills" : "Analytical mind; Keen eye for detail", "qualificationsBasic" : "Previous experience in a similar role, Dealing with AML within a similar industry", "qualificationsPreferred" : "Previous experience in a similar role, Dealing with AML within a similar industry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking to further grow our current Risk & AML team and therefore a new exciting position has arisen for a AML analyst to join our team in Malta. The Challenge As an AML analyst you will be working within a specialised and diverse team of agents to pro-actively detect, monitor and assess player behaviour and transactions that relate to potential CFT or AML scenarios as per current procedures. The role revolves around the analysis of customer accounts and transactions via pre-determined reports and alerts in order to determine and counter fraud and to detect any possible malicious scenarios, money laundering or suspicious activities. In addition, this role will also involve screening player accounts whilst providing an in-depth analysis of such accounts. We believe that the successful candidate must have good communication skills, be able to work well under pressure, have a keen eye for detail and attained good level of knowledge with regards to AML directives and risk exposure. You will: Review player accounts and deliver appropriate follow-up to detect and identify potential AML cases. Keep up to date with business directives and ensure that all operational procedures act in accordance with the latest directions published. Escalate cases to the relevant departments as required from time to time in accordance with internal procedures. Review customers at various threshold stages, specifically to spot any suspicious or unusual activities, such as potential Fraud, Money Laundering or CFT. Periodically apply open-source checks and internal AML procedures on specifically escalated player accounts Maintain a proactive and practical approach when dealing with player queries and other escalations What's in it for me? You’ll get the opportunity to work in an international environment, at a 100% digital company that is the market leader within the online gaming industry. Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. You're good at: Analytical mind, with a high level of attention to detail. Ability to work well with others and be a team player. Very good communication skills. Ability to meet deadlines on a day to day basis. Flexible approach to work in a dynamic environment. Good understanding of regulatory, AML and compliance requirements. Previous experience in a similar role, specifically dealing with AML within a similar industry will be considered an asset. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy", "summaryDescription" : "AML Analyst at Betsson Group. Skills: AML, CFT, Fraud detection. Detect monitor and assess player behaviour. Detect monitor and assess player transactions", "postedDate" : "2026-06-15T23:19:51.993", "createdAt" : "2026-06-15T23:19:51.993", "lastUpdated" : "2026-06-16T06:43:52.800", "ingestTimestamp" : "2026-06-15T23:19:51.993", "mongoId" : "6a30517bf292fd229cf01161", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "AML directives", "Fraud detection", "Money laundering detection", "Suspicious activity detection", "Open-source checks", "AML", "CFT", "Risk assessment", "Compliance requirements", "Money laundering", "Suspicious activities", "Regulatory requirements" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8b8474d8ee00a09730f7", "title" : "Product Manager - AML", "company" : "Oscilar", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for FinTech Product Managers in Bulgaria, adjusted for mid-seniority and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T06:10:50.176", "fingerprint" : "8284f6b4817c0d8aab1b43651d4f5de6cca9c2acbedf7fd74a6f308088dedd16", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/oscilar/24233649-65d0-406d-b915-996ad7b025f7/application", "externalId" : "24233649-65d0-406d-b915-996ad7b025f7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap planning", "User stories", "Scenario design", "Threshold calibration", "Typology coverage", "Backtesting", "Identity verification", "Document checks", "Risk re-scoring", "Data sources orchestration", "Fuzzy matching", "Alert routing", "Case assignment", "Escalation logic", "Analyst productivity", "QA/QC review", "Disposition tracking", "Narrative generation", "Audit trail" ], "hardSkillsList" : [ "Transaction monitoring", "KYC/KYB", "Screening", "Case management", "SAR filing", "Regulatory reporting", "AML data strategy" ], "hardSkills" : [ { "name" : "Transaction monitoring", "level" : "intermediate" }, { "name" : "KYC/KYB", "level" : "intermediate" }, { "name" : "Screening", "level" : "intermediate" }, { "name" : "Case management", "level" : "intermediate" }, { "name" : "SAR filing", "level" : "intermediate" }, { "name" : "Regulatory reporting", "level" : "intermediate" }, { "name" : "AML data strategy", "level" : "intermediate" } ], "majorSkills" : "Product Management, AI, AML, Financial Crimes", "majorSkillsList" : [ "Product Management", "AI", "AML", "Financial Crimes" ], "coreResponsibilities" : "Own product for AML, Own transaction monitoring, Own KYC/KYB, Own screening, Own case management, Own SAR filing, Own AML data strategy, Generate first-draft PRDs, Write and iterate user stories, Prototype UI flows, Pressure-test edge cases, Explore multiple UX directions, Solve explainability problem, Build defensible audit trail, Use AI tools to move faster, Test sooner, Learn earlier, Run discovery with buyers, Produce written synthesis, Identify product gaps, Deliver complete PRD, Spec PRD, Review PRD, Define SAR narrative automation, Pressure-test SAR automation, Be PM on CCO calls, Develop 12-month AML roadmap, Ship production features", "teamCollaboration" : "Cross-functional collaboration; Engineering stakeholders; Design team; Data engineers; Compliance officers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI Risk Decisioning; Fraud risk; Credit risk; Compliance risk; Financial crimes; Transaction monitoring; KYC/KYB; Screening; Case management; SAR filing; AI agents; Rules engine; ML model layer; Graph-based network detection; Identity verification; Document checks; Beneficial ownership; Ongoing monitoring; Risk re-scoring; Bureau data; Device signals; Open banking; Registry data; Sanctions screening; OFAC; UN; EU; PEPs; Adverse media; Negative news; Fuzzy matching; Human-in-the-loop system; Regulatory reporting; FinCEN SAR workflow; Audit trail; Data model; Transaction graphs; Entity resolution; Behavioral baselines; Consortium signals; Model feature pipelines; AI-assisted compliance; BSA; FinCEN; OFAC; FATF; Examiner findings; MRA", "domainList" : [ "ai-risk-decisioning", "fraud-risk", "credit-risk", "compliance-risk", "financial-crimes", "transaction-monitoring", "kyc-kyb", "screening", "case-management", "sar-filing", "ai-agents", "rules-engine", "ml-model-layer", "graph-based-network-detection", "identity-verification", "document-checks", "beneficial-ownership", "ongoing-monitoring", "risk-re-scoring", "bureau-data", "device-signals", "open-banking", "registry-data", "sanctions-screening", "ofac", "un", "eu", "peps", "adverse-media", "negative-news", "fuzzy-matching", "human-in-the-loop-system", "regulatory-reporting", "fincen-sar-workflow", "audit-trail", "data-model", "transaction-graphs", "entity-resolution", "behavioral-baselines", "consortium-signals", "model-feature-pipelines", "ai-assisted-compliance", "bsa", "fincen", "fatf", "examiner-findings", "mra" ], "domainSpecificKnowledge" : [ "AI Risk Decisioning", "Fraud risk", "Credit risk", "Compliance risk", "Financial crimes", "Transaction monitoring", "KYC/KYB", "Screening", "Case management", "SAR filing", "AI agents", "Rules engine", "ML model layer", "Graph-based network detection", "Identity verification", "Document checks", "Beneficial ownership", "Ongoing monitoring", "Risk re-scoring", "Bureau data", "Device signals", "Open banking", "Registry data", "Sanctions screening", "OFAC", "UN", "EU", "PEPs", "Adverse media", "Negative news", "Fuzzy matching", "Human-in-the-loop system", "Regulatory reporting", "FinCEN SAR workflow", "Audit trail", "Data model", "Transaction graphs", "Entity resolution", "Behavioral baselines", "Consortium signals", "Model feature pipelines", "AI-assisted compliance", "BSA", "FinCEN", "OFAC", "FATF", "Examiner findings", "MRA" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Executive presentations", "documentationSkills" : "PRDs; User stories; SAR narratives", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Innovate at the cutting edge", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "outcomesObjectives" : "Reduce false positive rates; Reduce SAR narrative writing time; Reduce alert backlog; Surface at least one insight; Deliver one complete PRD; Have a clear POV on SAR automation; Develop 12-month AML roadmap; Ship at least one thing", "qualificationsBasic" : "5+ years AML/compliance buyers, Product ownership of AML suite, AI-native PM, AI tools throughout workflow, Synthesize call transcripts, Cluster themes across interviews, Scan regulatory guidance, Surface competitive product gaps, Generate first-draft PRDs, Stress-test own specs, Write and iterate user stories, Prototype UI flows, Pressure-test edge cases, Explore multiple UX directions, Explainability problem in AI, BSA, FinCEN, OFAC, FATF, Build defensible audit trail, Use AI tools to move faster, Test sooner, Learn earlier", "qualificationsPreferred" : "Experience with graph-based network detection, Experience with consortium signals, Experience with model feature pipelines", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place https://oscilar.com/careers. WHY JOIN US: - Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. - Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. - Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. THE ROLE: AML operations teams are making high-stakes decisions on bad tooling. False positive rates hitting 90–95%. SAR narratives written by hand. Alert queues backlogged for days. Investigation workflows duct-taped across a transaction monitoring system, a case management tool, and a spreadsheet no one owns. AI has gotten good enough to fix most of this - but compliance teams don't trust it yet, and most AI vendors don't understand AML well enough to earn that trust. You will own the product that earns it. At Oscilar, you'll have full product ownership of our AML and financial crimes suite: transaction monitoring, KYC/KYB, screening, case management, SAR filing, and the AI agents that are beginning to augment and automate the investigation workflow itself. This is not a handed-down playbook. You are writing it. WHAT YOU'LL OWN: - Transaction Monitoring. The rules engine and ML model layer that generates alerts - scenario design, threshold calibration, typology coverage, backtesting against historical transaction data. You'll define what the system flags, why, and how those decisions evolve as customer behavior and fraud typologies shift. You understand the difference between a rules-based velocity check and a graph-based network detection model, and you have opinions on when each is right. - KYC / KYB. Onboarding risk workflows: identity verification, document checks, beneficial ownership, ongoing monitoring triggers, and risk re-scoring. You know the data sources that power these decisions - bureau data, device signals, open banking, registry data - and how to orchestrate them dynamically based on risk tier rather than applying a one-size waterfall. - Screening. Sanctions (OFAC, UN, EU), PEPs, adverse media, and negative news. You understand the matching problem - why fuzzy matching on names produces the false positive rates it does, and what it takes to make screening defensible to an examiner without generating alert volumes that bury the ops team. - Case Management. The workflow layer: alert routing, case assignment, escalation logic, analyst productivity tooling, QA/QC review, disposition tracking. You think about this as a human-in-the-loop system design problem - where humans add the most value and where AI can carry the load. - SAR Filing & Regulatory Reporting. FinCEN SAR workflow end-to-end: narrative generation, supporting documentation, filing status, audit trail. You've seen what regulators look for in an MRA and you build product that holds up under that scrutiny. - AML Data Strategy. The data model that powers all of the above: transaction graphs, entity resolution, behavioral baselines, consortium signals, model feature pipelines. You can speak fluently to a data engineer about what data the models need and why, and to a compliance officer about what the model's output means and how it was derived. HOW YOU'LL WORK: - You are an AI-native PM. You use AI tools throughout your entire workflow — not as a novelty, but as a force multiplier that lets you do in a day what used to take a week. - For discovery: You use AI to synthesize call transcripts, cluster themes across interviews, scan regulatory guidance and examiner findings, and surface competitive product gaps faster than any manual process. You come into customer conversations already knowing what the literature says - so you can spend the time extracting what the literature doesn't. - For building: You use AI to generate first-draft PRDs, stress-test your own specs, write and iterate on user stories, prototype UI flows, and pressure-test edge cases before engineering touches them. Your specs are tighter and your stakeholder review cycles are shorter as a result. - For design: You use AI to explore multiple UX directions quickly and give the design team a sharper brief. You're not a designer - but you use AI tools well enough that you show up with something specific rather than a blank page. - For analysis: You use AI to query product and operational data, interpret model outputs, and build the evidence base for roadmap decisions. You don't wait for a data analyst to unblock you. This is how we build. If you've already made AI tools a core part of your workflow, you'll find us a natural fit. REQUIREMENTS: - Full-stack AML product depth. You've shipped product across at least two of the five areas above - in production, with real users, under real regulatory scrutiny. You've sat in a room where an examiner asked a question about your system and understood exactly what was at stake. You know what a BSA officer worries about before an exam, and you build product that addresses it. - AML strategy knowledge. You understand how AML programs are designed and calibrated, not just executed. You know why scenario thresholds drift over time and how to fix it. You know the difference between a structuring typology and a layering typology and have an opinion on which detection approach fits each. You understand model drift, backtesting methodology, and what a model validation report covers. You can engage a Chief Compliance Officer on their AML program design and add something to the conversation - not just listen. - Technical and data fluency. Your engineers trust your specs. You can read a data schema, write a query to validate a hypothesis, and spot when an ML model is being misapplied. You understand the explainability problem in AI-assisted compliance decisions - not as an abstract concern, but as a concrete product constraint - and you have a position on how to solve it. - Regulatory literacy. BSA, FinCEN, OFAC, FATF. You understand what examiners are looking for, what triggers an MRA, and how to build a defensible audit trail. You've worked in an environment where regulatory guidance was unclear, evolving, or in conflict with shipping speed - and you made the call anyway. - Bias toward speed. You use AI tools to move faster, test sooner, and learn earlier. You do in a week what takes a month elsewhere. WHAT SUCCESS LOOKS LIKE: 30 days: You've run discovery with at least 5 AML/compliance buyers - BSA officers, heads of financial crimes, CCOs - and produced a written synthesis that surfaces at least one insight we didn't already have. You've reviewed our current AML product surface and identified the two biggest gaps relative to what buyers actually need. 60 days: You've delivered one complete PRD - spec'd, reviewed by engineering and Jason, and ready to build. You have a clear point of view on the SAR narrative automation problem: what to build, what not to build, and why. You've pressure-tested it with at least two practitioners who aren't already sold on it. 90 days: You're already the PM on calls with CCO prospects. You have a 12-month AML roadmap with clear prioritization rationale. And you've shipped at least one thing to production. BENEFITS - Compensation: Competitive salary and equity packages, including a 401k plan - Flexibility: Remote-first culture — work from anywhere - Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US) - Balance: Unlimited PTO policy - Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product - Culture: Family-Friendly environment; Regular team events and offsites - Development: Unparalleled learning and professional development opportunities - Impact: Making the internet safer by protecting online transactions", "summaryDescription" : "Product Manager - AML at Oscilar. Skills: Product Management, AI, AML, Financial Crimes. Own product for AML. Own transaction monitoring", "createdAt" : "2026-06-14T20:17:01.696", "lastUpdated" : "2026-06-16T06:10:50.176", "ingestTimestamp" : "2026-06-14T20:17:01.696", "mongoId" : "6a2c8b8474d8ee00a09730f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Transaction monitoring", "KYC/KYB", "Screening", "Case management", "SAR filing", "Regulatory reporting", "AML data strategy", "Product Management", "AI", "AML", "Financial Crimes", "Product strategy", "Roadmap planning", "User stories", "Scenario design", "Threshold calibration", "Typology coverage", "Backtesting", "Identity verification", "Document checks", "Risk re-scoring", "Data sources orchestration", "Fuzzy matching", "Alert routing", "Case assignment", "Escalation logic", "Analyst productivity", "QA/QC review", "Disposition tracking", "Narrative generation", "Audit trail", "AI Risk Decisioning", "Fraud risk", "Credit risk", "Compliance risk", "Financial crimes", "AI agents", "Rules engine", "ML model layer", "Graph-based network detection", "Beneficial ownership", "Ongoing monitoring", "Bureau data", "Device signals", "Open banking", "Registry data", "Sanctions screening", "OFAC", "UN", "EU", "PEPs", "Adverse media", "Negative news", "Human-in-the-loop system", "FinCEN SAR workflow", "Data model", "Transaction graphs", "Entity resolution", "Behavioral baselines", "Consortium signals", "Model feature pipelines", "AI-assisted compliance", "BSA", "FinCEN", "FATF", "Examiner findings", "MRA", "AI tools" ], "skillCount" : 68, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "compliance sr manager data governance aml sanctions data steward jobs", "metadata" : { "title" : "compliance sr manager data governance aml sanctions data steward" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 132226, "totalPages" : 2645, "hasNext" : true, "hasPrevious" : false } }

Remote Compliance Sr Manager Data Governance Aml Sanctions Data Steward Jobs

Top Skills

Manager, Data Modeling & Governance

AML/CTF Sanctions Manager

Data Governance Manager

Data Steward

Senior Data Governance Specialist

Data Governance & Data Platform Architect (Manager lead)

Data Governance Lead

Data Governance Specialist

Sr. Data Analyst

Data Governance Technical Program Manager

Data Governance & Data Platform Architect (Functional Lead)

Sr Data Scientist II- Finance Data Science

Knowledge Management Data Steward – Transactions & Regulatory

Sr Principal Data Scientist

Sr. Recruiting Manager, Engineering & Data

Sr. Recruiting Manager, Engineering & Data

Sr. Data Scientist 3

Senior AML Manager

Associate Data Governance Analyst

Compliance Manager (AMLRO & Data Protection Supervisor)

Sr. Engineer - Data Security

Sr. Engineer - Data Security

Business Analyst, Data Masking and Compliance

Sr Staff, SAP Product Lifecycle Management & Master Data Governance

Enterprise Data Governance Lead

Sr Director, Enterprise Data & Analytics

Sr. Recruiting Manager, Engineering & Data

Sr. Recruiting Manager, Engineering & Data

Compliance Sr. Manager - Data Governance/ AML/Sanctions Data Steward

Governance, Risk & Compliance Analyst

Sr Director, Enterprise Data & Analytics

Manager, Data Analytics

Sr. Manager, Statistical Programming and Data Operations

Interim Senior Compliance Manager (AML & CDD)

Data Engagement Manager

Data Engagement Manager

Product Manager, Data Governance & Enterprise Data Products

Product Manager, Data Governance & Enterprise Data Products

Data Product Manager

Sr Manager Data Analytics, Marketing

Sr. Data Engineer

Sr. Business Analyst- HR Data

Sr Business Solutions Data Analyst

Sr Business Solutions Data Analyst

Sr. Data Engineer

Sr. Manager, Enterprise Compliance

Data Steward Lead - Finance (Platforms)

Data Steward Lead - People (Platforms)

AML Analyst

Product Manager - AML

Related Searches

All Compliance Sr Manager Data Governance Aml Sanctions Data Steward Jobs by City

More Remote Jobs

Common Questions