{ "count" : 68547, "data" : [ { "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" : "6a306730f292fd229cfba392", "title" : "Statistical Data Programming Trainee", "company" : "ClinChoice", "industry" : "Healthcare", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Statistical Data Programming Trainee in Pasig, Philippines, adjusted for the biotech industry and company size." }, "location" : "Pasig, Pasig, Philippines", "locations" : [ "Pasig", "Pasig", "Philippines" ], "timestamp" : "2026-06-16T09:16:25.392", "fingerprint" : "763e606227af450f83c1ec1640f9b90302e6d7c531e20289c4f2eb741a60aa8b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/clinchoice/jobs/4865468101", "externalId" : "4865468101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pasig", "state" : "Pasig", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6204035,121.1005493" } ], "locationText" : "Pasig, Pasig, Philippines", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SAS, C/C++, Java, R, Python, MATLAB, SQL", "hardSkillsList" : [ "Statistical programming" ], "hardSkills" : [ { "name" : "Statistical programming", "level" : "intermediate" } ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Verbal English; Written English", "continuousLearning" : "Ability to learn; Adapt to changes", "qualificationsBasic" : "Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, or related scientific disciplines, Knowledge and training in high-level computing languages such as SAS, C/C++, Java, R, Python, MATLAB and SQL, Good verbal and written English, Good working experience in Microsoft Office Suite", "qualificationsPreferred" : "Detail oriented, Ability to learn and adapt to changes, Good team player, Good communicator", "rawDescription" : "Qualifications: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, or related scientific disciplines required. Proven knowledge and training in high-level computing languages such as SAS, C/C++, Java, R, Python, MATLAB and SQL. Detail oriented and ability to learn and adapt to changes. Good verbal and written English. Good team player and communicator. Good working experience in Microsoft Office Suite, e.g., Word, Excel, PowerPoint, etc. Detail-oriented and ability to learn and adapt to changes. Proficient in Microsoft Office Suite, e.g., Word, Excel, PowerPoint, etc.", "summaryDescription" : "Statistical Data Programming Trainee at ClinChoice", "postedDate" : "2026-06-15T23:29:39.148", "createdAt" : "2026-06-15T23:29:39.148", "lastUpdated" : "2026-06-16T09:16:25.392", "ingestTimestamp" : "2026-06-15T23:29:39.148", "mongoId" : "6a306730f292fd229cfba392", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical programming", "Microsoft Office Suite" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c92ed74d8ee00a0986e16", "title" : "Data Analyst with AI skills", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Analyst with AI skills in the Technology industry in Poland, adjusted for seniority and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T07:48:47.231", "fingerprint" : "0f36e4ca63cac5c29d11a406b789aac2663931e086e62ca839a94649afcb6e98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6018324004", "externalId" : "6018324004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Python, Jupyter Notebooks, Pandas, NumPy, DuckDB, SQL, APIs, AWS, Azure, GCP, Databricks, Snowflake, Docker, Kubernetes", "professionalSkills" : [ "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ETL development", "Data modelling", "Data warehousing", "Data governance", "Data security", "Performance optimization" ], "hardSkillsList" : [ "Data pipeline development", "Data transformation", "Data validation", "Data documentation", "Data ingestion", "SQL optimization", "Dashboard design", "KPI prioritization", "BI dashboard creation", "Data analysis" ], "softSkillsList" : [ "Independent" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data documentation", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" }, { "name" : "KPI prioritization", "level" : "intermediate" }, { "name" : "BI dashboard creation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent" } ], "majorSkills" : "Data pipelines, Business Intelligence, Data products, Cloud infrastructure", "majorSkillsList" : [ "Data pipelines", "Business Intelligence", "Data products", "Cloud infrastructure" ], "coreResponsibilities" : "Lead development of scalable ETL/analytics pipelines, Lead development of customer-facing analytics, Work with stakeholders to clarify questions, Map metrics to available data, Prioritize feasible KPIs, Build reliable pipelines, Ingest data, Validate data, Transform data, Document data, Design BI dashboards, Generate insightful dashboards, Enable customers to filter data, Enable customers to analyze data, Ensure solutions scale across customers, Leverage cloud infrastructure, Optimize performance", "teamCollaboration" : "Work with stakeholders; Cross-functional teams", "domainKnowledge" : "AI tooling; Cloud data stacks; ML frameworks; BI platforms; Operational data; Multi-tenant setups; Columnar/Parquet outputs; Analysis-ready datasets; Curated datasets; ERP systems", "domainList" : [ "ai-tooling", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "operational-data", "multi-tenant-setups", "columnar-parquet-outputs", "analysis-ready-datasets", "curated-datasets", "erp-systems" ], "domainSpecificKnowledge" : [ "AI tooling", "Cloud data stacks", "ML frameworks", "BI platforms", "Operational data", "Multi-tenant setups", "Columnar/Parquet outputs", "Analysis-ready datasets", "Curated datasets", "ERP systems" ], "toolProficiency" : [ "Jupyter Notebooks", "Pandas", "NumPy", "DuckDB", "Apache Superset", "Docker", "Kubernetes" ], "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Work from EU region, Work permit required", "outcomesObjectives" : "Turn data into insights; Turn data into workflows; Turn data into data products; Provide visual insights into KPIs", "qualificationsBasic" : "Proven experience developing data pipelines, Hands-on use of Pandas, Hands-on use of NumPy, Hands-on use of DuckDB, Familiarity with cloud environments, Expertise in SQL, Experience using BI tools, Expertise in dashboard design", "qualificationsPreferred" : "Experience with Apache Superset, Hands-on experience with cloud environments, Hands-on experience with containerization technologies, Knowledge of rights management in BI tools, Familiarity with parallelizing ETL processes, Familiarity with workflow orchestration", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About the project: We are building a modern analytics and Business Intelligence solution that integrates operational data from multiple ERP systems across countries, and turns it into reliable, customer-facing insights, analytical workflows, and reusable data products. You will be: leading the development of scalable ETL/analytics pipelines and customer-facing analytics - from requirements through published datasets and usable dashboards - for multi-tenant customer setups, working with stakeholders to clarify questions and metrics, map them to available ERP/operational data, and prioritize KPIs that are feasible, testable, and maintainable, building reliable pipelines that ingest, validate, transform, and document data into curated, analysis-ready datasets (e. g. columnar/Parquet outputs, consistent schemas), suitable for SQL-based reporting and dashboards, designing and implementing BI dashboards that use curated data to provide visual insights into relevant KPIs, enabling customers to filter, analyze, and interpret data with ease, ensuring solutions can scale across multiple customers with minimal effort, leveraging cloud infrastructure and optimizing performance where necessary. Your profile: strong ability to work independently and proactively in a fast-paced project, knowledgable in advanced AI tooling for productivity, including MCP, agent skills, harness engineering (Claude code/Cursor/Codex), Worktrees, proven experience developing data pipelines using Python and Jupyter Notebooks, hands-on use of Pandas, NumPy, and DuckDB (or equivalent analytical SQL engines) for transforms, validation, and performance-conscious processing, familiarity with cloud environments and utilizing SDKs to extract data from various sources, including Azure, AWS, APIs, and SQL databases, expertise in SQL for data manipulation and creating normalized datasets from multiple systems, experience using BI tools to create and manage datasets and generate insightful dashboards, expertise in dashboard design, including the use of filters and other interactive elements for deep data analysis, experience with Apache Superset is a strong plus. Work from the European Union region and a work permit are required. Nice to have: hands-on experience with cloud environments and containerization technologies (e.g., Docker, Kubernetes), knowledge of rights management in BI tools for data security and access control, familiarity with parallelizing ETL processes and workflow orchestration to improve efficiency and scalability. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Analyst with AI skills at Xebia. Skills: Data pipelines, Business Intelligence, Data products, Cloud infrastructure. Lead development of scalable ETL/analytics pipelines. Lead development of customer-facing analytics", "postedDate" : "2026-06-13T21:27:17.668", "createdAt" : "2026-06-13T21:27:17.668", "lastUpdated" : "2026-06-15T07:48:47.231", "ingestTimestamp" : "2026-06-13T21:27:17.668", "mongoId" : "6a2c92ed74d8ee00a0986e16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data transformation", "Data validation", "Data documentation", "Data ingestion", "SQL optimization", "Dashboard design", "KPI prioritization", "BI dashboard creation", "Data analysis", "Independent", "Data pipelines", "Business Intelligence", "Data products", "Cloud infrastructure", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ETL development", "Data modelling", "Data warehousing", "Data governance", "Data security", "Performance optimization", "AI tooling", "Cloud data stacks", "ML frameworks", "BI platforms", "Operational data", "Multi-tenant setups", "Columnar/Parquet outputs", "Analysis-ready datasets", "Curated datasets", "ERP systems", "Jupyter Notebooks", "Pandas", "NumPy", "DuckDB", "Apache Superset", "Docker", "Kubernetes" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098bdf5", "title" : "Financial Performance and Analysis", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Performance and Analysis role in Madrid, Spain, adjusted for the FinTech industry." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T09:26:43.034", "fingerprint" : "d7381340f9999217e17b528557279df139e22bc370b91841aa7b793c17934513", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4751604101", "externalId" : "4751604101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "minimumEducation" : "Bachelor's", "softSkillsList" : [ "Clear communication", "Analytical mindset" ], "softSkills" : [ { "name" : "Clear communication" }, { "name" : "Analytical mindset" } ], "teamCollaboration" : "FP&A teams; Finance & Accounting teams; Finance Tech teams; Regional teams", "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Identify data inconsistencies; Identify structural effects; Identify model-related issues", "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. At Getnet, we are looking for a Financial Performance and Analysis to join our team in Madrid. \uD83D\uDCCCWhat you'll do Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \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" : "Financial Performance and Analysis at Getnet", "postedDate" : "2026-06-14T04:54:16.069", "createdAt" : "2026-06-14T04:54:16.069", "lastUpdated" : "2026-06-15T09:26:43.034", "ingestTimestamp" : "2026-06-14T04:54:16.069", "mongoId" : "6a2c94e874d8ee00a098bdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Clear communication", "Analytical mindset", "Payment solutions", "Fintech", "Acquiring hub" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "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" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. 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Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a30678df292fd229cfbf1cc", "title" : "Technical Manager, Financial Planning and Analysis (FP&A)", "company" : "Prenuvo", "industry" : "FinTech", "salary" : { "min" : 160000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Prenuvo HQ - US", "locations" : [ "Prenuvo HQ - US" ], "timestamp" : "2026-06-16T08:20:34.911", "fingerprint" : "a8a7db2998f880f9bc9684ef7cc46352e35969dfa544efdf4bda9fc0409f2934", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://app.careerpuck.com/job-board/prenuvo/job/4704446005?gh_jid=4704446005", "externalId" : "4704446005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "About Us At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again\". We are seeking a full-time Technical Manager, Financial Planning & Analysis to join our growing FP&A team. This role will serve as the bridge between finance, data, and technology, helping build and scale our planning infrastructure while supporting both clinic operations and corporate functions. The ideal candidate is a strategic and analytical thinker who combines strong FP&A expertise with systems and data acumen. You are comfortable operating independently, partnering across teams, and driving initiatives from concept to execution. No task is too small or too complex, and you thrive in a fast-paced, evolving environment. A key focus of this role will be leading the implementation and ongoing optimization of Pigment, our first enterprise FP&A planning platform. This individual will help establish scalable planning processes, improve data connectivity, and enable more sophisticated forecasting, reporting, and decision support capabilities across the organization. Title and level will be assessed commensurate with experience. This position reports directly to the VP, FP& A. This role does not provide visa sponsorship. Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa (current or future). Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Financial Systems & Planning Infrastructure Lead the implementation, administration, and ongoing optimization of our FP&A planning platform (Pigment). Serve as the primary liaison between Finance, Data, and Engineering teams to ensure the integrity, scalability, and usability of financial data and planning systems. Design and maintain data models, integrations, and reporting structures that support budgeting, forecasting, long-range planning, and management reporting. Establish governance, documentation, and best practices for financial systems and planning processes. Financial Planning & Analysis Partner with other FP&A Managers on the development and maintenance of driver-based financial models to support budgeting, forecasting, long-range planning, and strategic decision-making. Develop real-time reporting and performance dashboards to monitor business results and analyze variances against plan. Own consolidations and lead preparation of our Monthly Financial Packages and other Quarterly and Annual Board Reporting. Support monthly, quarterly, and annual forecasting processes, ensuring accuracy, consistency, and actionable insights. Conduct detailed analyses of business performance, including operational metrics, marketing efficiency, customer acquisition costs, revenue performance, and other key drivers. Business Partnership & Strategic Support Act as the primary business partner for our CTO and IT teams. Partner with department leaders to support goal setting, resource planning, performance measurement, and growth initiatives. Translate complex financial and operational data into actionable recommendations for business stakeholders. Prepare and deliver clear, concise, and insightful analyses and presentations for senior leadership. Champion continuous improvement initiatives across financial processes, reporting, systems, and analytics capabilities. What You’ll Bring Strong foundation in FP&A, including budgeting, forecasting, long-range planning, variance analysis, and management reporting. Hands-on experience implementing, administering, or optimizing FP&A platforms such as Pigment, Anaplan, Adaptive Planning, Planful, or similar tools. Experience building driver-based financial models and scalable planning processes in a high-growth environment. Strong understanding of financial statements, operational KPIs, business performance drivers, and SaaS or multi-site operating metrics. Demonstrated ability to work with large, complex datasets and partner effectively with data and technology teams. Advanced analytical, problem-solving, and financial modeling skills with exceptional attention to detail. Excellent communication and presentation skills, with the ability to influence both finance and non-finance stakeholders. A proactive, solution-oriented mindset with a track record of overcoming obstacles and driving results. Comfortable navigating ambiguity and managing multiple priorities in a rapidly changing environment. Technical Skills Experience with SQL and data warehouse environments (Snowflake, BigQuery, Redshift, etc.) Experience integrating ERP, HRIS, CRM, and operational data into planning systems Familiarity with BI tools such as Sigma, Tableau, Power BI, or Looker Experience designing data models and dimensional planning structures preferred AI & Automation Experience leveraging automation and AI tools to improve forecasting, reporting, and planning workflows preferred Proven track record identifying and implementing process improvements that reduce manual effort and increase scalability Preferred Qualifications 5–10+ years of experience in FP&A, strategic finance, finance systems, or related fields Prior experience leading a planning system implementation from design through deployment Experience in healthcare services, multi-site operations, or high-growth environments Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work. What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! Retirement made easy! Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions. We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family The base salary for this role ranges from $160,000- $190,000, depending on experience and geographic location We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.", "summaryDescription" : "Technical Manager, Financial Planning and Analysis (FP&A) at Prenuvo", "postedDate" : "2026-06-15T23:29:34.798", "createdAt" : "2026-06-15T23:29:34.798", "lastUpdated" : "2026-06-16T08:20:34.911", "ingestTimestamp" : "2026-06-15T23:29:34.798", "mongoId" : "6a30678df292fd229cfbf1cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "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", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "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" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. 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engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. Lead cross-functional teams", "createdAt" : "2026-06-16T01:59:44.833", "lastUpdated" : "2026-06-16T15:07:30.375", "ingestTimestamp" : "2026-06-16T01:59:44.833", "mongoId" : "6a30794df292fd229c031216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence", "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks", "Agile", "B2B SaaS", "Cloud-native architecture", "GDPR", "SOC 2", "PIPEDA", "CCPA", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "skillCount" : 90, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306021f292fd229cf8619a", "title" : "Clinical Data Specialist", "company" : "Iterative Health", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Clinical Data Specialist in Cambridge, United States, adjusted for mid-seniority and the healthcare industry." }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States", "Dallas HQ", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T07:50:02.004", "fingerprint" : "41ed16a45f5732b3e5ac6eadcdce4ab1f5128deee0fa2c57b2744365b2182d1d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iterativehealth/jobs/4687877006", "externalId" : "4687877006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "EHR, CTMS, CRM", "professionalSkills" : [ "Clinical documentation", "Patient recruitment", "Data management", "Operational coordination" ], "hardSkillsList" : [ "Data entry", "Database maintenance" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Database maintenance", "level" : "intermediate" } ], "majorSkills" : "Clinical research, Data analysis, Patient identification", "majorSkillsList" : [ "Clinical research", "Data analysis", "Patient identification" ], "coreResponsibilities" : "Review electronic health records, Identify patients for studies, Interpret study protocols, Interpret eligibility criteria, Determine appropriate patient populations, Build databases of participants, Maintain databases of participants, Document patient pre-screening activities, Document pre-screening findings, Collaborate with research sites, Collaborate with clinical teams, Support participant recruitment, Support research sites, Collect data, Document data, Coordinate operational activities, Assist with scheduling patient visits, Coordinate research appointments, Perform data entry, Maintain study records, Maintain tracking tools, Participate in project meetings, Contribute to process improvement", "teamCollaboration" : "Research sites; Clinical teams", "domainKnowledge" : "Clinical trials; Healthcare technology; Good Clinical Practice; Protected health information", "domainList" : [ "clinical-trials", "healthcare-technology", "good-clinical-practice", "protected-health-information" ], "domainSpecificKnowledge" : [ "Clinical trials", "Healthcare technology", "Good Clinical Practice", "Protected health information" ], "toolProficiency" : [ "Microsoft Office Suite", "Google Workspace", "Adobe Acrobat", "Salesforce", "CTMS platforms" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate documentation; Study documentation; Data documentation", "qualificationsBasic" : "Bachelor's degree or equivalent, Proficiency with Microsoft Office Suite, Proficiency with Google Workspace, Proficiency with Adobe Acrobat, Proficiency with web-based applications, Ability to learn new technology platforms, Exceptional attention to detail, Organizational skills, Time management skills, Ability to manage multiple priorities, Excellent written communication skills, Excellent verbal communication skills, Ability to work independently, Ability to work collaboratively, High degree of professionalism, High degree of discretion, High degree of integrity", "qualificationsPreferred" : "Prior experience in clinical research, Prior experience in healthcare operations, Prior experience in patient recruitment, Prior experience in data management, Familiarity with clinical research protocols, Familiarity with eligibility criteria, Experience reviewing EHR data, Experience interpreting EHR data, Knowledge of GCP guidelines, Knowledge of clinical research regulations, Experience in healthcare technology, Experience in biotech, Experience in a startup environment, Familiarity with Salesforce, Familiarity with CTMS platforms, Familiarity with research technology systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The Iterative Health Site Network is a premier network of 100+ clinical research sites across the US and Europe, accelerating the path to market for novel therapies. By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need. About Iterative Health At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Why This Role Matters The Clinical Data Specialist at Iterative Health plays a critical role in supporting clinical trial operations across the Iterative Health research network. This position is responsible for conducting detailed EHR reviews to identify potential clinical trial candidates, supporting patient recruitment efforts, maintaining research databases, and ensuring accurate documentation throughout the patient pre-screening process. The ideal candidate is highly detail-oriented, thrives in a fast-paced environment, and is passionate about advancing clinical research through data-driven patient identification and operational excellence. Where You’ll Drive Impact Clinical Trial Patient Identification & Screening Review electronic health records (EHRs) to identify patients who may qualify for active clinical research studies. Interpret study protocols and eligibility criteria to determine appropriate patient populations for recruitment. Build and maintain databases of potential study participants across multiple research programs. Document patient pre-screening activities and findings in accordance with established procedures and regulatory requirements. Collaborate with research sites and clinical teams to support participant recruitment initiatives. Research Operations Support Support research sites within the Iterative Health network through data collection, documentation, and operational coordination activities. Assist with scheduling patient visits and coordinating research-related appointments. Perform accurate and timely data entry into clinical research databases and internal systems. Maintain study-related records and tracking tools to support operational efficiency and reporting needs. Participate in project meetings and contribute to ongoing process improvement initiatives. Compliance & Quality Handle protected health information (PHI) and research data in a confidential, compliant, and secure manner. Adhere to company policies, study protocols, Good Clinical Practice (GCP) guidelines, and applicable regulatory requirements. Ensure accuracy, completeness, and quality of all documentation and data-related activities. What You Bring to the Team Bachelor's degree or equivalent combination of education and experience. Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint), Google Workspace (Docs, Sheets, Drive, Gmail), Adobe Acrobat, and web-based applications. Ability to quickly learn and navigate new technology platforms, including Electronic Health Records (EHRs), Clinical Trial Management Systems (CTMS), and Customer Relationship Management (CRM) tools. Exceptional attention to detail and organizational skills. Strong time management skills with the ability to manage multiple priorities simultaneously. Excellent written and verbal communication skills. Demonstrated ability to work independently and collaboratively in a dynamic, fast-paced environment. High degree of professionalism, discretion, and integrity when handling sensitive information. Preferred Qualifications Prior experience in clinical research, healthcare operations, patient recruitment, or data management. Familiarity with clinical research protocols and eligibility criteria. Experience reviewing and interpreting electronic health record data. Knowledge of Good Clinical Practice (GCP) guidelines and clinical research regulations. Experience working within a healthcare technology, biotech, or startup environment. Familiarity with Salesforce, CTMS platforms, or similar research technology systems. How We Work Collaborative and low-ego team environment High ownership and accountability culture Fast-paced and highly iterative growth environment Open communication and continuous learning mindset Mission-driven organization focused on improving patient outcomes Comfortable navigating evolving business priorities and opportunities Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.", "summaryDescription" : "Clinical Data Specialist at Iterative Health. Skills: Clinical research, Data analysis, Patient identification. Review electronic health records. 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Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306a7bf292fd229cfcc996", "title" : "Clinical Data Analyst", "company" : "Arthur Grand Technologies Inc", "industry" : "Information Technology And Services", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Data Analyst in Richmond, United States, adjusted for the healthcare industry and contract employment type." }, "location" : "Richmond, VA, United States", "locations" : [ "Richmond", "VA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.850", "fingerprint" : "e9b3a1348029e7c7279e61f54ba6663ab72465d766908a28153b147d70490b07", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArthurGrandTechnologiesInc/744000132237009-clinical-data-analyst", "externalId" : "744000132237009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5385087,-77.4342800" } ], "locationText" : "Richmond, Virginia, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "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 pipelines, Build and maintain data models, Perform complex data analysis, Create and manage BI dashboards, Develop and deploy machine learning models, Optimize data infrastructure, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on emerging technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) Title of Position:Clinical Data Analyst – Req ID 805128 Location: 6900 Atmore Road,, Richmond, VA.- Onsite Duration: Long Term Employment: Contract Rate: $Negotiable Interview type: Either In-Person OR Video Interview Clinical Operations Informatics Specialist Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. Skill * Experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary * Experience pulling data out of electronic health record systems * Experience validating EHR data through triangulation with other data within the EHR * Experience documenting workflows from clinical practice into EHR data entry and data management * Ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership Job Description: The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus on clinical practice and end user experience. They will work closely with the Health Services EHR team and alongside the technical teams responsible for EHR configuration and development. Knowledge, Skills, Abilities or Competencies: Minimum: * Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics. * Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. * Extensive experience pulling data out of electronic health record systems * Demonstrated experience answering clinical questions into analysis of data from an electronic health record system. * Demonstrated experience validating EHR data with outside data sources * Demonstrated experience validating EHR data through triangulation with other data within the EHR * Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management * Extensive experience with applying national EHR standards to an EHR product. * Demonstrated experience standardizing processes around an EHR implementation. * Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting * Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership * Experience working in a multidisciplinary clinical environment with multiple stakeholder groups Additional Considerations: * Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred * Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute * Experience with EHR systems in a clinical capacity required Core Duties: 1. Clinical workflow documentation * Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities. Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations. 2. Data extraction, analysis and visualization * Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets. Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions. 3. Validation and testing * Validation of EHR updates from user perspective view. Consistent testing coverage of the base system in addition to support for MAR and related project components. Establish documented reduction in validation gaps on EHR changes. 4. Direct support to medical staff * Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work About Arthur Grand Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) ## Qualifications Clinical Operations Informatics Specialist Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Clinical Data Analyst at Arthur Grand Technologies Inc. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-15T15:40:35.000", "createdAt" : "2026-06-15T23:52:34.811", "lastUpdated" : "2026-06-16T08:41:03.850", "ingestTimestamp" : "2026-06-15T23:52:34.811", "mongoId" : "6a306a7bf292fd229cfcc996", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", 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"jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "69fd301c4c40e2acd1b225d1", "title" : "Senior Consultant – Financial Planning and Analysis", "company" : "Pyrovio", "industry" : "Consulting", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Consultant in Financial Planning and Analysis in India, adjusted for seniority and the consulting industry." }, "location" : "Akron, OH", "locations" : [ "Akron", "OH" ], "timestamp" : "2026-06-15T09:09:54.090", "fingerprint" : "048875f7e74802d50b5e03309196ea278e919633b1039018d7cead055b77b43d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://pyrovio.breezy.hr/p/439a00e06153-senior-consultant-financial-planning-and-analysis", "externalId" : "439a00e06153", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Financial planning", "Financial analysis" ], "hardSkillsList" : [ "FERC accounting" ], "hardSkills" : [ { "name" : "FERC accounting", "level" : "intermediate" } ], "majorSkills" : "Financial planning, Financial analysis", "majorSkillsList" : [ "Financial planning", "Financial analysis" ], "coreResponsibilities" : "Specialize in Financial Planning & Analysis", "domainKnowledge" : "FERC accounting", "domainList" : [ "ferc-accounting" ], "domainSpecificKnowledge" : [ "FERC accounting" ], "specialRequirements" : "Up to 25% travel", "qualificationsBasic" : "FERC accounting expertise", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Senior Consultant – Financial Planning & Analysis Location: Flexible (Remote with up to 25% travel) Full-Time Financial Planning & Analysis Practice This position is for a Senior Consultant specializing in Financial Planning & Analysis (FP\\&A) with deep expertise in FERC accounting", "summaryDescription" : "Senior Consultant – Financial Planning and Analysis at Pyrovio. Skills: Financial planning, Financial analysis. Specialize in Financial Planning & Analysis", "createdAt" : "2026-06-14T05:21:34.829", "lastUpdated" : "2026-06-15T09:09:54.090", "ingestTimestamp" : "2026-06-14T05:21:34.829", "mongoId" : "69fd301c4c40e2acd1b225d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "FERC accounting", "Financial planning", "Financial analysis" ], "skillCount" : 3, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30519bf292fd229cf0320a", "title" : "Financial Data Application Specialist", "company" : "AlphaSense", "industry" : "SaaS", "salary" : { "min" : 110000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Data Application Specialist in the US SaaS industry, adjusted for company size and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:22:27.217", "fingerprint" : "72716064eef54cded556ee70f4b8b3fb77c76aa7573f8d9d04aecaecd04b37e5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphasense/jobs/8584930002", "externalId" : "8584930002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI", "professionalSkills" : [ "Financial data analysis", "Quantitative analysis", "Valuation decisions", "Sales enablement", "Product marketing", "Support articles" ], "hardSkillsList" : [ "Financial modeling" ], "softSkillsList" : [ "Entrepreneurial minded", "Teaching", "Enablement" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial minded" }, { "name" : "Teaching" }, { "name" : "Enablement" } ], "majorSkills" : "Financial data, Sales, Customer success, Technical implementation", "majorSkillsList" : [ "Financial data", "Sales", "Customer success", "Technical implementation" ], "coreResponsibilities" : "Assist sales in demos, Assist sales in strategic trials, Run trial training calls, Overcome common objections, Communicate value proposition, Speak with users, Visit users, Provide advanced training, Provide customizations, Provide product consultations, Build custom templates, Build bespoke modeling tools, Package use cases for sales, Package use cases for account management, Create how-to videos, Create enablement materials, Create support articles, Field feedback, Identify product opportunities, Relay product information, Act as escalation point, Resolve challenges, Integrate modeling solutions", "teamCollaboration" : "Partner with sales; Partner with product; Partner with marketing; Partner with leadership; Work with account management", "domainKnowledge" : "Financial data; Investment decisions; Valuation decisions; Capital markets", "domainList" : [ "financial-data", "investment-decisions", "valuation-decisions", "capital-markets" ], "domainSpecificKnowledge" : [ "Financial data", "Investment decisions", "Valuation decisions", "Capital markets" ], "toolProficiency" : [ "Excel Add-ins" ], "communicationSkills" : "Distill complex issues; Explain complex issues", "qualificationsBasic" : "Client-facing professional, Develop rapport with people, Maintain relationships, Speak the language of finance, Analyze company financial data, Benchmark financial data, Understand quantitative tools, Become SME for financial data", "qualificationsPreferred" : "New York City strongly preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! Location: New York City strongly preferred, Remote considered Reports To: Manager, Financial Data Application Specialists About the Role The Financial Data Application Specialist role at AlphaSense lives at the intersection of sales, customer success, and technical implementation for AlphaSense’s financial data products. This is a new team at AlphaSense supporting a strategic area of investment for the business, so we are looking for entrepreneurial minded people that can use learnings from client discussions to help optimize both our go-to-market and product strategies. Specialists add value across our revenue organization by building relationships with prospects and clients, providing deep technical knowledge to demonstrate the value of AlphaSense’s financial data while helping to drive adoption. Due to the extensive exposure that Specialists have with clients, they’re also in a prime location to partner with our sales, product, marketing and leadership teams in determining future product developments that will resonate with the market. What You’ll Do Growth Initiatives: Assist sales in demos and strategic trials of AlphaSense’s financial data solutions. The team also runs trial training calls, making the ability to overcome common objections and communicate our value proposition essential to success. Customer Health: The team works hand in hand with account management, speaking with and visiting users to provide advanced training, customizations, and product consultations. Specialists often drive adoption by building custom templates or other bespoke modeling tools for our customers. Subject Matter Expert: Specialists have expertise in quantitative analysis for investment and valuation decisions. They know the use cases that our customers are likely to care about, and package it for utilization by sales and account management. This can come in the form of how-to videos, enablement, product marketing, support articles and others that can be used for meetings or email distribution. Product Direction: Because of our Specialists’ deep understanding of both our financial data products and customers, they are in a position to field feedback and identify product opportunities, and relay that information across the organization (account management, account executives, product, management). Consultative Support: Act as an escalation point for our product and support teams on difficult scenarios our customers may face with our solutions, particularly when leveraging Excel Add-ins. Manage and resolve challenges related to the full integration of our modeling solutions into our clients’ workflows. Who You Are A client-facing professional with a superior ability to develop rapport with new people, and to maintain relationships, combined with a positive and proactive personality. Someone who has worked with external stakeholders — whether senior investment professionals, corporate development and M&A teams, investor relations, corporate strategy, or competitive intelligence functions — and wants to spend their time client-facing and actively engaged with them. Someone who can speak the language of finance and knows how to analyze a company’s financial data, benchmark it against its peers, and understand how professionals in these roles use quantitative tools to make decisions. Committed to becoming a SME for financial data across all industries, personas, and verticals. A passion for technology, AI, and the capital markets. Excellent in 360 degree communication and collaboration. Able to distill and explain complex issues in simple terms — this is a teaching and enablement role, helping clients learn to do things with our product rather than doing the work for them. Genuine interest to learn how the different tools we’ve built contribute to our clients’ processes, to help identify when a particular client should be using them, and to identify solutions that solve for a client’s needs. Intrinsically motivated and a self-starter, with the ability to stay energized in repetitive client conversations and contribute to a dynamic and entrepreneurial team culture. Strong time management, organization, and task prioritization skills, with comfort juggling many moving pieces across a fast-moving, high-growth team. An independent problem-solver, making multiple efforts to solve problems on your own before escalating. Comfortable working in ambiguity, and flexible enough to adapt as needed to drive customer happiness, ideally with experience operating in a smaller, high-growth team environment. Familiar with the institutional investor landscape, financial markets, and investment research — or with the corporate finance landscape (corporate development, M&A, FP&A, IR, strategy) and the quantitative tools those teams rely on. Minimum Qualifications A foundation in finance or corporate finance — for example, progress toward a CFA or a bachelor’s degree in Economics/Finance/Accounting, OR equivalent hands-on exposure to financial analysis through a corporate development, M&A, investor relations, corporate strategy, or competitive intelligence function. 2-4 years of relevant experience in equity research, investment management, private equity, accounting, consulting, corporate development/M&A, investor relations, or a comparable client- or stakeholder-facing role, with a strong desire to move toward client-facing positions. Demonstrated ability to work with financial data in some form — for example, building or interpreting a comparable company's analysis, benchmarking a company against its peers, or understanding how you would approach that work. You do not need to have built three-statement models yourself, but you must be able to speak the language of finance and do benchmarking. Strong Excel abilities (nice to have: familiarity with AI powered spreadsheet tools and/or experience leveraging generative AI tools within productivity software). Excellent communication skills, as you must manage relationships with high-profile fund managers, corporate finance leaders, and junior analysts alike. For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $100,000—$125,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.", "summaryDescription" : "Financial Data Application Specialist at AlphaSense. Skills: Financial data, Sales, Customer success, Technical implementation. Assist sales in demos. Assist sales in strategic trials", "postedDate" : "2026-06-15T23:21:59.739", "createdAt" : "2026-06-15T23:21:59.739", "lastUpdated" : "2026-06-16T08:22:27.217", "ingestTimestamp" : "2026-06-15T23:21:59.739", "mongoId" : "6a30519bf292fd229cf0320a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Entrepreneurial minded", "Teaching", "Enablement", "Financial data", "Sales", "Customer success", "Technical implementation", "Financial data analysis", "Quantitative analysis", "Valuation decisions", "Sales enablement", "Product marketing", "Support articles", "Investment decisions", "Capital markets", "Excel Add-ins" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "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" : "6a3056b1f292fd229cf2ccf9", "title" : "Clinical Quality Data Analyst", "company" : "Pullman Regional", "industry" : "Healthcare", "salary" : { "min" : 38.75, "max" : 63.41, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "certifications" : [ "Certification in Healthcare Quality (CPHQ)" ], "timestamp" : "2026-06-16T13:07:51.874", "fingerprint" : "c2cbca8a29e468934a454b8c9d6f2a97b13ae57b3ce25a019b7d2b5ad0efccd9", "source" : "workday", "language" : "en", "applyUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "externalId" : "JR_26000208", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power BI, Excel, Tableau, EHR reporting systems", "professionalSkills" : [ "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking" ], "hardSkillsList" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Quality management", "level" : "intermediate" }, { "name" : "Patient safety", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Electronic medical records", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" } ], "majorSkills" : "Healthcare data analytics, Data visualization, Reporting, Quality metrics", "majorSkillsList" : [ "Healthcare data analytics", "Data visualization", "Reporting", "Quality metrics" ], "coreResponsibilities" : "Organize data sets, Manage data sets, Analyze healthcare data, Optimize business operations, Communicate findings, Design solutions, Identify solutions, Facilitate organizational reporting, Monitor outcomes, Demonstrate knowledge of trends, Demonstrate knowledge of issues, Analyze data, Assist in healthcare management, Assist in decision making, Develop dashboards, Maintain dashboards, Develop scorecards, Maintain scorecards, Develop reports, Maintain reports, Monitor hospital quality metrics, Monitor CMS Star Measures, Monitor patient safety indicators, Monitor infection prevention data, Monitor readmission rates, Monitor patient satisfaction measures, Support CMS reporting requirements, Support regulatory compliance activities, Perform data abstraction, Perform data auditing, Perform data validation, Ensure accuracy, Ensure completeness, Identify trends, Identify variances, Identify opportunities, Collaborate with department leaders, Collaborate with nursing staff, Collaborate with providers, Collaborate with administration, Support quality initiatives, Support performance improvement projects, Prepare reports, Prepare presentations, Assist with accreditation surveys, Assist with state audits, Assist with quality benchmarking, Maintain confidentiality, Comply with HIPAA, Comply with hospital privacy policies, Support implementation of reporting tools, Support optimization of reporting tools", "teamCollaboration" : "Department leaders; Nursing staff; Providers; Administration", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Healthcare data analytics; Healthcare quality metrics; CMS reporting; Patient safety initiatives; Clinical quality management; Patient safety protocols; Infection control standards; Critical access hospital; Accreditation bodies", "domainList" : [ "healthcare-data-analytics", "healthcare-quality-metrics", "cms-reporting", "patient-safety-initiatives", "clinical-quality-management", "patient-safety-protocols", "infection-control-standards", "critical-access-hospital", "accreditation-bodies" ], "domainSpecificKnowledge" : [ "Healthcare data analytics", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies" ], "toolProficiency" : [ "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "communicationSkills" : "Communicate complex data", "problemSolvingSkills" : "Data analysis; Performance improvement", "qualificationsBasic" : "4 years-experience in data analytics, 4 years-experience in quality management, 4 years-experience in patient safety, Knowledge of healthcare quality metrics, Knowledge of CMS reporting, Knowledge of patient safety initiatives, Proficiency with data manipulation software, Experience with data visualization tools, Knowledge of data management applications, Proficiency in managing electronic medical records, Proficiency in data analysis, Proficiency in performance improvement methodologies, Ability to manage multiple projects, Ability to meet deadlines, Ability to communicate complex data, Bachelor's degree in related field", "qualificationsPreferred" : "Master's degree in nursing, Master's degree in Healthcare Administration, Certification in Healthcare Quality (CPHQ), Experience in a critical access hospital, Familiarity with DNV, Familiarity with CMS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Pay Range:** The base pay range for this position is $38.75-$63.41 Hourly however, base pay offered may vary depending on job-related knowledge, skills, and experience. **Job Title:** Clinical Quality Data Analyst **Work Schedule for this Position:** Monday - Friday 8 am - 5 pm **Company Statement:** Pullman Regional is an innovative, patient-focused, multi-disciplinary based work environment where all members of the team contribute to the exceptional care of our patients and the community. **Position Overview:** The Healthcare Data Analyst is responsible for organizing and managing large and varied data sets and associated decision support tools, analyzing healthcare data to optimize business operations, and communicating the findings through the use of data visualization and detailed reports. Applies advanced level knowledge of clinical and financial analysis as well as systems technology to identify and design solutions with respect to clinical, operational and financial performance improvement. Demonstrates an understanding of database functionality and reporting tools, and knowledge of healthcare systems and processes. Demonstrates exceptional analytical capability to develop, design and execute prospective and retrospective analyses. Facilitates organizational reporting of clinical, operational and financial performance and monitoring outcomes of care processes. **A Day in the Life:** * Demonstrate knowledge of current trends and issues in the healthcare data analytics field. * Analyze data to assist in delivering optimal healthcare management and decision making. * Develop and maintain dashboards, scorecards, and reports for quality improvement initiatives. * Monitor hospital quality metrics and CMS Star Measures, patient safety indicators, infection prevention data, readmission rates, and patient satisfaction measures. * Support CMS Critical Access Hospital reporting requirements and other regulatory compliance activities. * Perform data abstraction, auditing, and validation to ensure accuracy and completeness of submissions. * Identify trends, variances, and opportunities for operational and clinical improvement. * Collaborate with department leaders, nursing staff, providers, and administration to support quality initiatives and performance improvement projects. * Prepare reports and presentations for QMS, Medical Staff, Board of Commissioners, and leadership meetings. * Assist with accreditation surveys, state audits, and quality benchmarking activities. * Maintain confidentiality and comply with HIPAA and hospital privacy policies. * Support implementation and optimization of reporting tools such as Power BI, Excel, Tableau, or EHR reporting systems. **About You!** **This Job is For You if You Have:** * A minimum of 4 years-experience in data analytics, quality management, patient safety, or associated field. * Knowledge of healthcare quality metrics, CMS reporting, and patient safety initiatives. * Proficiency with data manipulation software. * Experience with data visualization tools. * Knowledge of data management applications. * Proficiency in managing electronic medical records. * Proficiency in data analysis and performance improvement methodologies. * Ability to manage multiple projects and deadlines in a fast-paced healthcare environment. * Ability to communicate complex data clearly to clinical and non-clinical audiences. * Strong attention to detail and data accuracy. * Bachelor's degree in Healthcare Administration, Health Information Management, Public Health, Data Analytics, Nursing, Business, or related field preferred. * Associate’s degree in related field will be considered with relevant experience. **A Wow if You Have:** * Master’s degree in nursing, Healthcare Administration, or related field. * Certification in Healthcare Quality (CPHQ) is preferred or must be obtained within a set timeframe upon hiring. * Strong knowledge of clinical quality management, patient safety protocols, and infection control standards. * Previous experience in a critical access hospital setting. * Familiarity with accreditation bodies such as DNV or CMS. **Company Perks:** Our employees are our most important asset and that’s reflected in our benefits. Pullman Regional is proud to offer a variety of benefits to support employees and their families, including: * Medical/Vision, Dental, Health Savings Account, and Paid Leave Time * Employer Paid Life Insurance and Long-Term Disability * Retirement with Employer Matching Contributions * Voluntary Benefits that include: Life Insurance, Critical Illness, Accident Insurance, and Short-Term Disability * Services Discount and EAP Resources **A Few More Important Points:** The job posting highlights the most critical responsibilities and requirements of the job. It is not all-inclusive. There may be additional duties, responsibilities, and qualifications for this job. **Disability Contacts:** Applicants with disabilities who require assistance or accommodation should contact Human Resources at [humanresources@pullmanregional.org](mailto:humanresources@pullmanregional.org) **Current Pullman Regional Employees:** To apply, log into Workday, click the Jobs Hub button.", "summaryDescription" : "Clinical Quality Data Analyst at Pullman Regional. Skills: Healthcare data analytics, Data visualization, Reporting, Quality metrics. Organize data sets. Manage data sets", "postedDate" : "2026-06-16T03:47:11.094", "createdAt" : "2026-06-16T03:47:11.035", "lastUpdated" : "2026-06-16T13:07:51.874", "ingestTimestamp" : "2026-06-16T03:47:11.035", "mongoId" : "6a3056b1f292fd229cf2ccf9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "salaryAnnualMin" : 80600, "salaryAnnualMax" : 131892, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement", "Healthcare data analytics", "Reporting", "Quality metrics", "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking", "Manage multiple projects", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies", "Certification in Healthcare Quality (CPHQ)", "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306030f292fd229cf87d7e", "title" : "Data Analyst - Financial Crime", "company" : "Ebury", "industry" : "FinTech", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Analyst in the FinTech industry in Málaga, Spain, adjusted for experience and company size." }, "location" : "Madrid", "locations" : [ "Madrid", "Málaga" ], "timestamp" : "2026-06-16T11:07:52.416", "fingerprint" : "c39f7760a33fd2c24dccfc5177b696ae16bfa79476ceb688d5b76a1fc0be5c4e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ebury.com/company/careers/job?gh_jid=4895029101", "externalId" : "4895029101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Málaga", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "36.7647913,-4.4422005" }, { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Málaga, Spain; Madrid, Spain", "experienceMinYears" : 2, "experienceMaxYears" : 4, "technicalSkills" : "SQL, Dbt, Google Cloud BigQuery, Sigma, Python, Git", "professionalSkills" : [ "Data modeling", "Risk detection", "Operational efficiency", "Data-driven controls", "Detection mechanisms", "Investigative tools", "Transaction monitoring", "Customer risk assessment", "Behavioral analysis", "Investigation support", "Data quality checks", "Data controls", "Analytical tools", "Actionable insights", "Process automation", "Continuous improvement", "Screening", "Alert handling", "Data pipelines", "Analytical datasets", "Risk interpretation" ], "hardSkillsList" : [ "Data modeling", "Data quality", "Risk assessment", "Behavioral analysis", "Transaction monitoring", "Data pipelines", "Analytical datasets" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Behavioral analysis", "level" : "intermediate" }, { "name" : "Transaction monitoring", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical datasets", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Financial Crime, SQL, Data Modeling", "majorSkillsList" : [ "Data Analytics", "Financial Crime", "SQL", "Data Modeling" ], "coreResponsibilities" : "Design data models, Maintain data models, Design datasets, Maintain datasets, Gather requirements, Extract data, Transform data, Validate data, Deploy solutions, Develop detection logic, Optimise detection logic, Develop monitoring rules, Optimise monitoring rules, Perform data quality checks, Perform data controls, Build dashboards, Build analytical tools, Support investigations, Support alert triage, Support risk assessment, Identify data gaps, Deliver actionable insights, Contribute to automation, Contribute to continuous improvement", "teamCollaboration" : "AML business teams; Compliance teams; Product teams; Investigators; Compliance analysts", "domainKnowledge" : "Financial crime; Payment flows; FX; Banking products; Regulatory requirements; Compliance requirements; Transaction monitoring systems; Alerting frameworks", "domainList" : [ "financial-crime", "payment-flows", "fx", "banking-products", "regulatory-requirements", "compliance-requirements", "transaction-monitoring-systems", "alerting-frameworks" ], "domainSpecificKnowledge" : [ "Financial crime", "Payment flows", "FX", "Banking products", "Regulatory requirements", "Compliance requirements", "Transaction monitoring systems", "Alerting frameworks" ], "toolProficiency" : [ "Dbt", "Google Cloud BigQuery", "Sigma", "Git" ], "continuousLearning" : "Personal development; Language courses", "problemSolvingSkills" : "Analytical thinking", "qualificationsBasic" : "2-4 years experience in Data Business Analytics, Advanced SQL skills, Experience building data pipelines, Experience building transformations, Experience building analytical datasets, Solid understanding of financial crime frameworks, Fluency in English", "qualificationsPreferred" : "Experience in FinCrime, Experience in Compliance, Experience in Risk, Experience in Financial Services, Experience with dbt, Experience with Google Cloud BigQuery, Experience with Sigma, Experience with Git, Experience working with Python, Knowledge of payment flows, Knowledge of FX, Knowledge of banking products, Analytical thinking, Focus on data quality, Focus on controls, Focus on risk interpretation, Experience with transaction monitoring systems, Experience with alerting frameworks, Ability to translate regulatory requirements, Ability to translate compliance requirements, Spanish fluency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Data Analyst - Financial Crime Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week Ebury’s strategic growth plan would not be possible without our Data Analytics & Anti-Money Laundering teams and we are seeking a Data Analyst to join our Financial Crime domain! Our data mission is to enable effective risk detection, monitoring and operational efficiency through robust data models, scalable analytics and high quality reporting. The team works closely with AML business teams, Compliance and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.Projects range from building curated data models that power transaction monitoring and screening capabilities, to developing analytical frameworks for customer risk assessment, behavioural analysis, and investigation support across our global entities. As part of the team you will Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations. Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment. Develop and optimise detection logic and monitoring rules (e. g. transaction monitoring scenarios, anomaly detection, behavioural patterns). Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets. Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows. Collaborate with investigators and compliance analysts to identify data gaps and deliver actionable insights. Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling). What we’re looking for 2-4 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services. Advanced SQL skills – able to read and write queries across complex datasets. Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Sigma, Git. Experience building data pipelines, transformations, and analytical datasets. Solid understanding of financial crime frameworks. Experience working with Python is desirable. Knowledge of payment flows, FX, or banking products is desirable. Strong analytical thinking with focus on data quality, controls, and risk interpretation. Experience working with transaction monitoring systems or alerting frameworks is a plus. Ability to translate regulatory and compliance requirements into data logic. Fluency in English (Spanish, a plus). What Ebury offers you Competitive salary conditions. Private health insurance, gympass and access to Meditopia. Support to progress your career in the Data & Analytics world. Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack. Flexible workplace environment (hybrid model, 4 days office / 1 day remote). 23 days of annual leave plus your birthday off and all the Málaga/Madrid public holidays. Fun in-person off-sites and virtual get-togethers. Personal development including language courses. #LI-JC1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Data Analyst - Financial Crime at Ebury. Skills: Data Analytics, Financial Crime, SQL, Data Modeling. Design data models. Maintain data models", "postedDate" : "2026-06-15T23:26:34.018", "createdAt" : "2026-06-15T23:26:34.018", "lastUpdated" : "2026-06-16T11:07:52.416", "ingestTimestamp" : "2026-06-15T23:26:34.018", "mongoId" : "6a306030f292fd229cf87d7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data quality", "Risk assessment", "Behavioral analysis", "Transaction monitoring", "Data pipelines", "Analytical datasets", "Data Analytics", "Financial Crime", "SQL", "Data Modeling", "Risk detection", "Operational efficiency", "Data-driven controls", "Detection mechanisms", "Investigative tools", "Customer risk assessment", "Investigation support", "Data quality checks", "Data controls", "Analytical tools", "Actionable insights", "Process automation", "Continuous improvement", "Screening", "Alert handling", "Risk interpretation", "Financial crime", "Payment flows", "FX", "Banking products", "Regulatory requirements", "Compliance requirements", "Transaction monitoring systems", "Alerting frameworks", "Dbt", "Google Cloud BigQuery", "Sigma", "Git" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059d3f292fd229cf4b2e9", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T08:36:35.216", "fingerprint" : "b5c332c6dff17e08ec57719085edffc2e13874ec8bad2f42503c2cc63f81fd86", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:28:18.616", "lastUpdated" : "2026-06-16T08:36:35.216", "ingestTimestamp" : "2026-06-16T00:28:18.616", "mongoId" : "6a3059d3f292fd229cf4b2e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f0bf292fd229cf77aa8", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T10:03:10.589", "fingerprint" : "e8731ede0ca67f1d57b4836bee5734cd93890c04bfedb9ec44ddeed31dfc3765", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:27:48.493", "lastUpdated" : "2026-06-16T10:03:10.589", "ingestTimestamp" : "2026-06-16T00:27:48.493", "mongoId" : "6a305f0bf292fd229cf77aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "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 Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here 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.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0de74d8ee00a09db551", "title" : "Senior Data and Platform Engineer", "company" : "Avantos", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Senior Data and Platform Engineer in New York, United States, with adjustments for seniority, company size, and the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T01:43:36.688", "fingerprint" : "791ee05e9a932c88a1a3dc229ccc6d96b88ddb4135d2238f2514febf83289574", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application", "externalId" : "4b2dc531-155c-4d8a-97b7-d89e27a59c12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, SQL, Terraform, AWS, Python, Docker, Kubernetes, LLMs, RAG, Vector search", "professionalSkills" : [ "Backend system design", "API design", "Data modeling", "System design" ], "hardSkillsList" : [ "Data engineering", "Platform engineering", "Backend infrastructure" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Backend infrastructure", "level" : "intermediate" } ], "majorSkills" : "Data platform, AI systems, Infrastructure", "majorSkillsList" : [ "Data platform", "AI systems", "Infrastructure" ], "coreResponsibilities" : "Design backend systems, Implement backend systems, Design data platform, Build data platform, Create scalable systems, Design data models, Design APIs, Make decisions about schemas, Make decisions about indexes, Make decisions about migrations, Make decisions about performance, Own infrastructure for data workloads, Own infrastructure for AI workloads, Enable self-serve data workflows, Improve observability, Improve reliability, Improve performance, Support AI/ML systems, Build tooling for document processing, Build tooling for metadata, Build tooling for normalization", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. 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We are seeking an experienced GTM Finance Manager to join our growing finance team in Redwood City, CA. Reporting to the Associate Director of GTM Finance, this key contributor will build annual budgets, manage monthly rolling forecasts, and provide decision support through financial analyses to optimize our strategic investments. The Manager is responsible for aggregating data and turning it into information to support critical decision-making processes.  As Finance Manager, Go-to-Market (GTM), you will be the dedicated finance partner to our Sales, Customer Success, and Marketing organizations. You will own the financial planning, performance analysis, and commercial decision support that drive revenue growth from our buy-side (DSP, agency, advertiser) and sell-side (SSP, publisher, curation) businesses, as well as data and managed-service product lines. The successful candidate will be comfortable working with large data sets, data flows, cohort analysis, net revenue retention and regression analyses, as well as other financial modeling techniques. They will quickly familiarize themselves with PubMatic’s business, associated metrics, and support business decisions with a track record of sound business judgment.  What You'll Do: GTM Planning we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand. #LI-HYBRID Compensation Disclosure In accordance with applicable law, the below salary range provided is PubMatic’s reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package. Total Compensation Range $145,000—$165,000 USD", "summaryDescription" : "Financial Planning & Analysis Manager - Go To Market at PubMatic", "postedDate" : "2026-06-14T20:02:45.187", "createdAt" : "2026-06-14T20:02:45.187", "lastUpdated" : "2026-06-16T02:08:13.706", "ingestTimestamp" : "2026-06-14T20:02:45.187", "mongoId" : "6a2c6ae374d8ee00a090edf9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e4274d8ee00a0af6952", "title" : "AI and Data Engineer, Google Cloud", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for AI and Data Engineer roles in Bengaluru, India, adjusted for mid-seniority at a large technology company." }, "location" : "[Bengaluru, Karnataka, India, [3, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, India], Bengaluru, 560038, KA, IN]", "locations" : [ "[Bengaluru, Karnataka, India, [3, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, India], Bengaluru, 560038, KA, IN]" ], "timestamp" : "2026-06-16T13:35:46.278", "fingerprint" : "54c8f088fb0672edc0ea6a7f5bbfd01198b4f714dbf06ba36b9acd3dc018273a", "source" : "google", "language" : "en", "externalId" : "86594383251415750", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "remoteFriendly" : false, "summaryDescription" : "AI and Data Engineer, Google Cloud at Google", "postedDate" : "2026-06-16T01:48:26.891", "createdAt" : "2026-06-16T01:48:26.891", "lastUpdated" : "2026-06-16T13:35:46.278", "ingestTimestamp" : "2026-06-16T01:48:26.891", "mongoId" : "6a210e4274d8ee00a0af6952", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83ce", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:58:14.336", "fingerprint" : "1141533a0ea2a9896faa30a62c944cb0be691492717a7ccd0019375ea41bcbde", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/64c47211-cf25-4747-b3d6-848fecb0f39a/application", "externalId" : "64c47211-cf25-4747-b3d6-848fecb0f39a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML", "professionalSkills" : [ "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "hardSkillsList" : [ "ML" ], "softSkillsList" : [ "curious, caring, cross-functional" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious, caring, cross-functional" } ], "majorSkills" : "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "majorSkillsList" : [ "Platform leadership, Product judgement, Commercial impact, Data platform, ML" ], "coreResponsibilities" : "Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "teamCollaboration" : "Build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.", "communicationSkills" : "Direct", "documentationSkills" : "documentation", "innovationCreativity" : "Shape the future state, zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.", "problemSolvingSkills" : "system design; debugging; algorithms", "specialRequirements" : "Must be able to work in Barcelona, Edinburgh or London. Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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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-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## 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" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## 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" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ed74d8ee00a0986e18", "title" : "Data Engineer with Databricks", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer with Databricks in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "certifications" : [ "Databricks certification" ], "timestamp" : "2026-06-16T04:22:07.120", "fingerprint" : "cf05077c996b927edb4318cee3e1ff382566b7672fd27250236455dbae7c591b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6011045004", "externalId" : "6011045004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Python, Databricks, PySpark, AWS, Azure, GCP, Snowflake, Azure Key Vault, Azure Logic Apps, Azure Service Bus, Azure DevOps, Unity Catalog", "professionalSkills" : [ "System design", "Data modeling", "ETL design", "ELT design", "Orchestration", "Deployment automation", "Troubleshooting", "Continuous improvement" ], "hardSkillsList" : [ "Batch processing", "Real-time processing", "Data integration", "Data warehousing", "Data orchestration", "Model deployment", "Secrets management", "Process automation", "Data governance", "Event-driven workflows", "CI/CD", "Testing", "Monitoring" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Real-time processing", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data orchestration", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Event-driven workflows", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data Engineering, Databricks, PySpark, Azure", "majorSkillsList" : [ "Data Engineering", "Databricks", "PySpark", "Azure" ], "coreResponsibilities" : "Build data pipelines, Maintain data pipelines, Optimize data pipelines, Integrate data sources, Maintain analytical database, Enhance analytical database, Support analytical database, Collaborate with stakeholders, Deliver data products, Identify technical debt, Improve platform reliability, Improve platform maintainability, Improve platform performance, Build Databricks Workflows, Manage Databricks Workflows, Develop PyFunc models, Deploy PyFunc models, Maintain PyFunc models, Implement secure secrets management, Implement configuration management, Automate data flows, Automate business processes, Design ETL pipelines, Develop ETL pipelines, Optimize ETL pipelines, Design ELT pipelines, Develop ELT pipelines, Optimize ELT pipelines, Govern data assets, Manage data assets, Implement messaging workflows, Implement event-driven workflows, Collaborate with architects, Collaborate with analysts, Collaborate with data scientists, Collaborate with engineering teams, Deliver end-to-end data solutions, Contribute to CI/CD processes, Contribute to deployment automation, Ensure high quality, Take ownership of technical areas, Support architectural decisions, Mentor team members", "teamCollaboration" : "Cross-functional teams; Architects; Analysts; Data scientists; Engineering teams; Business stakeholders", "projectManagementSkills" : [ "Agile delivery", "Engineering best practices" ], "domainKnowledge" : "Data engineering best practices; Modern data platform architectures; Medallion Architecture; Data Lakehouse principles; Event-driven architectures; Distributed data processing; GenAI; AI-augmented development", "domainList" : [ "data-engineering-best-practices", "modern-data-platform-architectures", "medallion-architecture", "data-lakehouse-principles", "event-driven-architectures", "distributed-data-processing", "genai", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Data engineering best practices", "Modern data platform architectures", "Medallion Architecture", "Data Lakehouse principles", "Event-driven architectures", "Distributed data processing", "GenAI", "AI-augmented development" ], "toolProficiency" : [ "Databricks", "Azure DevOps", "Azure Key Vault", "Azure Logic Apps", "Azure Service Bus", "Unity Catalog", "GitHub Copilot", "Claude Code", "Cursor" ], "communicationSkills" : "Technical communication; Business communication", "continuousLearning" : "Continuous professional development; Knowledge sharing", "innovationCreativity" : "Explore new technologies; Experiment with AI", "problemSolvingSkills" : "Problem-solving; Identify issues; Identify opportunities; Identify improvement areas", "specialRequirements" : "Work permit required", "qualificationsBasic" : "3+ years commercial experience, Senior engineering experience, Hands-on Python knowledge, Databricks experience, PySpark experience, Modern data analytics platforms experience, Azure cloud environments experience, Modular system components design, Data engineering best practices understanding, Medallion Architecture familiarity, Business requirements translation, Problem-solving skills, Organizational skills, Azure DevOps experience, CI/CD practices experience, Agile delivery environments experience, Work from EU region, Work permit required", "qualificationsPreferred" : "Databricks certification, Infrastructure as Code experience, MLOps practices experience, Kubernetes experience, Requirements engineering experience, Business analysis awareness, Event-driven architectures familiarity, Distributed data processing systems familiarity, GenAI structured application experience, Emerging AI-driven practices interest", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: build, maintain, and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing, integrate data from multiple internal and external sources into the organization’s analytical platform, maintain, enhance, and support the analytical database and the surrounding data ecosystem, collaborate with business stakeholders and cross-functional teams to deliver data products that meet business needs and timelines, identify technical debt and continuously improve platform reliability, maintainability, and performance, build and manage Databricks Workflows for large-scale data orchestration, develop, deploy, and maintain PyFunc models within production environments, implement secure secrets and configuration management using Azure Key Vault, automate data flows and business processes using Azure Logic Apps, design, develop, and optimize ETL and ELT pipelines following data engineering best practices, govern and manage data assets using Unity Catalog and Data Lakehouse principles, implement messaging and event-driven workflows using Azure Service Bus, collaborate closely with architects, analysts, data scientists, and engineering teams to deliver end-to-end data solutions, contribute to CI/CD processes and deployment automation using Azure DevOps, ensure high quality through testing, monitoring, troubleshooting, and continuous improvement activities, depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members, Your profile: minimum 3 years of commercial experience in software engineering, data engineering, or related fields, experience working in senior engineering, technical leadership, or highly autonomous delivery roles, strong hands-on knowledge of Python as the primary development language, strong experience with Databricks and PySpark in production environments, proven experience building and supporting modern data analytics platforms, practical experience working within Azure cloud environments or similar cloud ecosystems, experience designing modular, reusable, scalable, and maintainable system components, strong understanding of data engineering best practices and modern data platform architectures, familiarity with Medallion Architecture or equivalent data modeling and design patterns, ability to gather, clarify, and translate business requirements into technical solutions, strong problem-solving, communication, and organizational skills, proactive approach to identifying issues, opportunities, and improvement areas, experience working with Azure DevOps and CI/CD practices, excellent communication skills and ability to collaborate with technical and business stakeholders, experience working within Agile delivery environments and engineering best practices, quick learner with a strong interest in new technologies and continuous professional development, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: Databricks certification, experience with Infrastructure as Code technologies such as Terraform or ARM templates, experience with MLOps practices and automation of machine learning and data pipelines, experience working with Kubernetes or other container orchestration platforms, requirements engineering experience and business analysis awareness, familiarity with event-driven architectures and distributed data processing systems, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Engineer with Databricks at Xebia. Skills: Data Engineering, Databricks, PySpark, Azure. Build data pipelines. Maintain data pipelines", "postedDate" : "2026-06-14T19:12:25.152", "createdAt" : "2026-06-14T19:12:25.152", "lastUpdated" : "2026-06-16T04:22:07.120", "ingestTimestamp" : "2026-06-14T19:12:25.152", "mongoId" : "6a2c92ed74d8ee00a0986e18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Batch processing", "Real-time processing", "Data integration", "Data warehousing", "Data orchestration", "Model deployment", "Secrets management", "Process automation", "Data governance", "Event-driven workflows", "CI/CD", "Testing", "Monitoring", "Leadership", "Mentoring", "Critical thinking", "Data Engineering", "Databricks", "PySpark", "Azure", "System design", "Data modeling", "ETL design", "ELT design", "Orchestration", "Deployment automation", "Troubleshooting", "Continuous improvement", "Agile delivery", "Engineering best practices", "Data engineering best practices", "Modern data platform architectures", "Medallion Architecture", "Data Lakehouse principles", "Event-driven architectures", "Distributed data processing", "GenAI", "AI-augmented development", "Databricks certification", "Azure DevOps", "Azure Key Vault", "Azure Logic Apps", "Azure Service Bus", "Unity Catalog", "GitHub Copilot", "Claude Code", "Cursor" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c79f174d8ee00a0943d30", "title" : "Head of Data", "company" : "CreateFuture", "industry" : "Consulting", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of Data in Edinburgh, UK, adjusted for the consulting industry and director-level experience." }, "location" : "Level 1, The Stamp Office, 10 Waterloo Pl, Edinburgh EH1 3EG", "locations" : [ "Level 1", "The Stamp Office", "10 Waterloo Pl", "Edinburgh EH1 3EG", "Leeds", "England", "United Kingdom", "London", "England", "United Kingdom", "Manchester", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:13:45.593", "fingerprint" : "a51a73307bce5687c1f473f5af64d85ceaa969b8ee8b03f95317379fa5d18f9e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/xdesign/jobs/4873679101", "externalId" : "4873679101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "Scotland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.9533456,-3.1883749" }, { "city" : "Leeds", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.7974185,-1.5437941" }, { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.4424618,-2.2324547" }, { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "country" : "Bulgaria", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Edinburgh, Scotland, United Kingdom; Leeds, England, United Kingdom; Manchester, England, United Kingdom; London, England, United Kingdom; Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, Dbt, SQL, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Lakehouse architectures, Streaming architectures, Kinesis, Microsoft Fabric", "professionalSkills" : [ "Client engagement", "Deal shaping", "Pricing models", "Delivery approaches", "Commercial outcomes", "Revenue growth", "Gross margin", "Win rates", "Deal quality", "Team composition", "Hiring", "Progression management", "Performance management", "Learning investment", "Technical decision-making", "Commercial awareness", "Technical depth", "Client impact", "Pragmatic decisions" ], "hardSkillsList" : [ "Data platforms", "Analytics ecosystems", "ML lifecycle management", "MLOps", "Production AI systems", "Cloud-native data platforms", "AWS data platforms", "Lakehouse architectures", "Streaming architectures", "Data ecosystems", "AI solutions" ], "softSkillsList" : [ "Credibility", "Clarity", "Candour", "Trust", "Low ego" ], "hardSkills" : [ { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Analytics ecosystems", "level" : "intermediate" }, { "name" : "ML lifecycle management", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Production AI systems", "level" : "intermediate" }, { "name" : "Cloud-native data platforms", "level" : "intermediate" }, { "name" : "AWS data platforms", "level" : "intermediate" }, { "name" : "Lakehouse architectures", "level" : "intermediate" }, { "name" : "Streaming architectures", "level" : "intermediate" }, { "name" : "Data ecosystems", "level" : "intermediate" }, { "name" : "AI solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Credibility" }, { "name" : "Clarity" }, { "name" : "Candour" }, { "name" : "Trust" }, { "name" : "Low ego" } ], "majorSkills" : "Data capability leadership, Cloud data platforms, MLOps", "majorSkillsList" : [ "Data capability leadership", "Cloud data platforms", "MLOps" ], "coreResponsibilities" : "Define 'great' for Data roles, Foster a positive environment, Create a team culture, Make hiring decisions, Make progression decisions, Make performance management decisions, Make learning investment decisions, Take ownership of Data capability contribution, Support deal shaping, Identify opportunities to expand Data & AI work, Track capability KPIs, Report on capability KPIs", "teamCollaboration" : "Close to delivery; Close to clients; Close to technical decision-making; High trust; Minimal unnecessary process; Management close to work; High standards of performance; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning", "Delivery approaches" ], "domainKnowledge" : "AI-native consulting; Cloud-native architecture; Enterprise-scale architectures; ML lifecycle management; MLOps; Production AI systems; Data & AI application", "domainList" : [ "ai-native-consulting", "cloud-native-architecture", "enterprise-scale-architectures", "ml-lifecycle-management", "mlops", "production-ai-systems", "data-ai-application" ], "domainSpecificKnowledge" : [ "AI-native consulting", "Cloud-native architecture", "Enterprise-scale architectures", "ML lifecycle management", "MLOps", "Production AI systems", "Data & AI application" ], "toolProficiency" : [ "AWS", "Databricks", "Snowflake", "Microsoft Fabric", "S3", "Glue", "Redshift", "EMR", "Kinesis", "Azure", "GCP", "Vertex AI", "Synapse", "ML Studio" ], "communicationSkills" : "Client presentations; Stakeholder engagement", "continuousLearning" : "40 hours paid learning; Personal growth investment", "innovationCreativity" : "AI solutions development; Building digital products", "problemSolvingSkills" : "Pragmatic decisions; Difficult trade-offs", "specialRequirements" : "Occasional travel", "outcomesObjectives" : "Revenue growth; Gross margin protection; Gross margin improvement; Win rates; Deal quality; Expand Data & AI work; Meaningful capability KPIs", "qualificationsBasic" : "Senior Capability Lead experience, Head of Data experience, Experience in consultancy, Experience in complex delivery organisation, Experience building and scaling multi-disciplinary Data capabilities, Experience shaping and delivering Data & AI-led solutions, Experience engaging with senior client stakeholders, Hands-on understanding of modern cloud-native data platforms, Experience designing and delivering AWS-centric data platforms, Practical experience with modern data platforms, Familiarity with Azure and GCP data ecosystems, Grasp of ML lifecycle management, Grasp of MLOps, Grasp of production AI systems, Ability to connect technical decisions to business value, Clear point of view on Data and AI application", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Our UK Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. Financial coaching + 5% pension match. 40 hours of paid learning and development. View our full list of UK benefits. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: As Head of Data at CreateFuture, you are accountable for the direction, evolution, and performance of our Data capability, reporting directly to the Director of Cloud ensure they remain close to delivery, clients, and technical decision-making. Define what ‘great’ looks like for Data roles at CreateFuture, with clear expectations around technical depth, client impact, and commercial awareness. Foster a positive, supportive environment where talented people can do their best work, combining high trust, candour, and accountability with minimal unnecessary process and management close to the work. Create a team culture where individuals feel respected, motivated, and proud of the work they deliver for clients, while maintaining high standards of performance and collaboration. Make clear, pragmatic decisions on hiring, progression, performance management, and targeted learning investment. Commercial Ownership & Performance Take clear ownership of the Data capability’s contribution to: Revenue growth Gross margin protection and improvement Win rates and deal quality Support deal shaping through pricing models, delivery approaches, and team composition that balance quality with commercial outcomes. Identify and pursue opportunities to expand Data & AI work within existing client accounts. Track and report on a small set of meaningful capability KPIs focused on outcomes rather than activity. What you bring: Experience & Impact Proven experience operating as a senior Capability Lead, Head of Data, or equivalent within a consultancy or complex delivery organisation. Demonstrable success building and scaling multi‑disciplinary Data capabilities, not solely Data Engineering teams. A track record of shaping and delivering Data & AI‑led solutions with clear commercial and client impact. Experience engaging confidently with senior client stakeholders, including technology, data, and business leaders. Technical & Strategic Depth Deep, hands-on understanding of modern cloud-native data platforms and analytics ecosystems. Significant experience designing and delivering AWS-centric data platforms, including lakehouse and streaming architectures using services such as S3, Glue, Redshift, EMR, and Kinesis. Practical experience with modern data platforms such as Databricks, Microsoft Fabric, and Snowflake. Familiarity with Azure and GCP data ecosystems to support multi-cloud client environments and enterprise-scale architectures. Strong grasp of ML lifecycle management, MLOps, and production AI systems. Ability to connect technical decisions to business value, risk, regulation, and operational constraints. A clear, well-formed point of view on how Data and AI should be applied pragmatically to deliver outcomes, rather than hype. Leadership Style Leads with credibility, clarity, and low ego. Comfortable operating with high accountability and making difficult trade‑offs. Stays close to delivery, clients, and teams. Builds trust through technical authority, consistency, and follow‑through. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Our hiring process We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: Call with our Talent Acquisition Team Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!", "summaryDescription" : "Head of Data at CreateFuture. Skills: Data capability leadership, Cloud data platforms, MLOps. Define 'great' for Data roles. 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"Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Program Manager III in Atlanta, adjusted for mid-seniority, manager experience, and the technology industry." }, "location" : "[Atlanta, GA, USA, [Atlanta, GA, USA], Atlanta, null, GA, US]", "locations" : [ "[Atlanta, GA, USA, [Atlanta, GA, USA], Atlanta, null, GA, US]", "[Sunnyvale, CA, USA, [Sunnyvale, CA, USA], Sunnyvale, null, CA, US]" ], "timestamp" : "2026-06-16T12:59:21.636", "fingerprint" : "f6fe7938cd68d24e608b24bdc950c19903dbc3ee45fee4a0985cf08767897c7f", "source" : "google", "language" : "en", "externalId" : "113007624667964102", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "experienceLevel" : "Manager", "summaryDescription" : "Program Manager III, Financial Analysis and Operations, Cloud Supply Chain", "postedDate" : "2026-06-16T01:48:22.705", "createdAt" : "2026-06-16T01:48:22.705", "lastUpdated" : "2026-06-16T12:59:21.636", "ingestTimestamp" : "2026-06-16T01:48:22.705", "mongoId" : "6a210e2a74d8ee00a0af6031", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c904474d8ee00a097fe9e", "title" : "Senior Director of Data, BI and Engineering", "company" : "Centria Autism", "industry" : "Healthcare", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Director of Data, BI and Engineering in Farmington Hills, United States, adjusted for the healthcare industry and director-level experience." }, "location" : "Farmington Hills, Michigan, United States", "locations" : [ "Farmington Hills", "Michigan", "United States" ], "timestamp" : "2026-06-15T07:45:26.563", "fingerprint" : "777d67381ceeed3d322e97df3908d8d5a6ede7c8b5bc9d3d7bc75953da663534", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centriaautism/jobs/8568831002", "externalId" : "8568831002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Farmington Hills", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.4853125,-83.3771553" } ], "locationText" : "Farmington Hills, Michigan, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "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, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Thought leadership", "Data modeling", "Statistical analysis", "Data mining", "Predictive algorithms", "AI generated code", "Microservices architecture" ], "hardSkillsList" : [ "KPI development", "Operational dashboards", "Visualization creation", "Predictive analytics", "Self-service reporting", "Data governance", "Data preparation", "Data integration", "Data warehousing" ], "softSkillsList" : [ "Leadership", "Mentoring", "Negotiation", "Problem-solving" ], "hardSkills" : [ { "name" : "KPI development", "level" : "intermediate" }, { "name" : "Operational dashboards", "level" : "intermediate" }, { "name" : "Visualization creation", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Self-service reporting", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Negotiation" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Establish data-driven KPI, Establish Operational Performance dashboard, Lead BI competence center, Accelerate visualization creation, Foundational analytics, Advanced analytics, Predictive analytics, Establish ML roadmap, Establish AI roadmap, Establish GPT roadmap, Establish RAG roadmap, Data exploration, Data visualization, Data reporting, Establish self-service reporting framework, Data delivery, Information delivery, Use RAG, Improve RAG models, Data Management, Data governance, Data preparation, Data integration, Data warehousing, Machine Learning, Ensure daily functions completed, Communicate job planning, Monitor job performance, Appraise job performance, Manage high-performing team, Coach high-performing team, Develop high-performing team, Deliver best practice results, Deliver added value, Promote high standards, Understand expected standards, Understand expected behaviors", "teamCollaboration" : "Key stakeholders; Internal staff; Partners; Clients", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Healthcare industry; AI applications", "domainList" : [ "healthcare-industry", "ai-applications" ], "domainSpecificKnowledge" : [ "Healthcare industry", "AI applications" ], "toolProficiency" : [ "Microsoft Office Suite", "G Suite", "RAG models" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "problemSolvingSkills" : "Problem-solving capabilities", "specialRequirements" : "Office hours, Additional time required, Occasional shifts required", "outcomesObjectives" : "Transformational impact; Deliver information platforms; Deliver analytics platforms; Deliver solutions to stakeholders; Meet agreed objectives; Achieve best practice results; Deliver added value; Continuous improvement", "qualificationsBasic" : "Bachelor's in computer science, 15+ years experience, 3+ years leadership capacity, SQL proficiency, Data modeling experience", "qualificationsPreferred" : "MBA or master's degree, Healthcare industry experience, PhD preferred, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary The Senior Director of Data, BI and Engineering has primary responsibility for setting the strategy and vision and overseeing the ongoing duties of the Business Intelligence/Data Analytics (BI/DA) Team. This role will be responsible for all strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with BI/DA. The role is ideal for ambitious and self-motivated individuals who want to build a new team that can have a transformational impact in a fast-growing enterprise. The Senior Director of Data, BI and Engineering will lead their teams by establishing and executing a vision for delivering information and analytics platforms and solutions to the business’s key stakeholders, including internal staff, partners, and clients. Duties and Responsibilities The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties. Establish data-driven KPI and Operational Performance dashboard across the enterprise. Lead the BI competence center/COE/Claude skills for accelerating visualization creation. Foundational analytics Advanced/predictive analytics Claude skills Establishing a BI/Data/GPT/RAG/Machine Learning roadmap. Data exploration, visualization, reporting Self-service reporting framework Data/Information delivery Use of RAG and improvement of the RAG models Data Management Data governance Data preparation – sources and integration Data warehousing Machine Learning Ensuring the daily functions of the department are completed by communicating job expectations; planning, monitoring, and appraising job results; Managing, coaching, and developing a high-performing team that meets agreed objectives and delivers best practice results, added value, and continuous improvements; Consistently promote high standards through personal example and rollout through the team so that each team member understands the standards and behaviors expected of them. Qualifications Education/Licenses A degree in computer science, mathematics, operations, management, or a related field is required MBA or a master’s degree would be a significant plus Work Experience 15+ years (and 3+ years in a leadership capacity) of progressively responsible experience in a directly related area, during which both professional capabilities have been clearly demonstrated Industry/domain skills in the healthcare industry will be a plus BI/Data Analytics related skills: Thought leadership on advancing BI/DA within the organization Expertise/experience in the use of BI/Data Analytics platform Data modeling – logical and physical; working knowledge of multidimensional data modeling, such as star schemas, snowflakes, denormalized models, and handling “slow-changing” dimensions/attributes Some experience in data science, statistical analysis, data mining, and predictive algorithms, including POC development Experience and understanding of a wide variety of analytical processes Experience with AI generated code, specifically Claude Experience with RAG and Machine Learning applications Azure cloud and functions experience, including microservices architecture Equipment and Technology Requirements Advanced computer skills Advanced knowledge of laptop/desktop PC Proficiency in Microsoft Office Suite Proficiency in G Suite Other Competency Requirements Ability to follow written instructions Ability to use computers and computer/software programs Ability to communicate expressively and receptively Knowledge and Skills Experience interacting with C-level executives. Excellent written and verbal communication skills. Excellent presentation skills. Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Best-in-class problem-solving capabilities and the ability to address a diverse set of business requirements. Proven ability to build and motivate a team to achieve well-communicated expectations. Proven robust negotiating and consensus-building abilities. Proven skills to work effectively across internal functional areas in ambiguous situations. Working Conditions Centria's office hours are Monday through Friday from 8:30 AM – 6:00 PM. Additional time or occasional shifts in schedule may be required as dictated by the needs of the business for projects and meetings. Physical Demands While performing the duties of this job, physical requirements such as bending, reaching, lifting, pushing, or pulling up to 30 pounds may be required. This role will require sitting most of the day as well as walking and standing periodically. This role may require close visual acuity on computer screens or monitors and the ability to analyze data and figures on a screen. We are an equal opportunity employer and value diversity at our Company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, Veteran status, or disability status. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position. Centria reserves the right to amend this job description at any time, with or without written notice.", "summaryDescription" : "Senior Director of Data, BI and Engineering at Centria Autism. Skills: Data science, Data engineering, Machine learning, Business intelligence. Establish data-driven KPI. Establish Operational Performance dashboard", "postedDate" : "2026-06-13T22:10:40.916", "createdAt" : "2026-06-13T22:10:40.916", "lastUpdated" : "2026-06-15T07:45:26.563", "ingestTimestamp" : "2026-06-13T22:10:40.916", "mongoId" : "6a2c904474d8ee00a097fe9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "KPI development", "Operational dashboards", "Visualization creation", "Predictive analytics", "Self-service reporting", "Data governance", "Data preparation", "Data integration", "Data warehousing", "Leadership", "Mentoring", "Negotiation", "Problem-solving", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Thought leadership", "Data modeling", "Statistical analysis", "Data mining", "Predictive algorithms", "AI generated code", "Microservices architecture", "Roadmap planning", "Healthcare industry", "AI applications", "Microsoft Office Suite", "G Suite", "RAG models" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6cba74d8ee00a091af34", "title" : "VP, Financial Analysis", "company" : "Berkadia", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a VP, Financial Analysis in Irvine, United States, adjusted for executive seniority and the real estate industry." }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-15T23:33:20.943", "fingerprint" : "762b95240dc6d699a5b01859007e70632488875c5674465ed7bc2b6fd0891a27", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/berkadia/jobs/7748471003?gh_jid=7748471003", "externalId" : "7748471003", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Executive", "rawDescription" : "Are you looking for an opportunity to work on a highly collaborative team where partnership drives performance? Berkadia’s investment sales platform offers the highest-quality deal marketing resources, technology that marries local expertise with capital markets knowledge, and seamless integration with our mortgage banking and servicing platforms to ensure your success. Advance your career in a culture committed to personal and professional growth. Be Backed by the Best. Be Berkadia. Berkadia is seeking a Vice President (VP) with 5-10 years of relevant industry experience to join the Multifamily Investment Sales team in our Irvine office. This role will support and partner with the Investment Sales Advisors to successfully execute the operations of the team’s transactions across Southern California. The VP will quarterback the deal process which includes financial modeling and underwriting, preparation of institutional-quality marketing collateral, in-depth market research and analysis, and transaction due diligence. The role also includes meaningful responsibility for client and investor communication, guidance and mentorship for junior team members, and support of overall transaction strategy. This role is best suited for a high-performing professional with a deep interest in the multifamily sector, strong initiative, and the ability to lead effectively within a collaborative team environment. We Innovate to shape the future of CRE, so in this role you will: · Serve as a strategic leader by managing the deal analysis processes to support the client base, drive team success, and achieve production goals. · Analyze financial statements, rent rolls, and other property documents to provide strategic insights and recommendations. · Utilize and maintain databases tracking investment sales activity, construction pipeline, and other relevant real estate metrics. · Lead in creating the presentation of complex financial analyses to clients providing strategic advice and actionable insights. · Review industry surveys and benchmarks, economic and demographic trends to identify opportunities and risks for clients. · Actively lead the research, writing, and quality control of market intelligence for high impact marketing materials. · Establish and maintain strong working relationships with the team and clients to understand and anticipate their needs. · Effectively simplify and communicate complex ideas in writing and through advanced data visualization techniques to a diverse audience including senior management and executives. · Demonstrate a track-record of high performance within a deadline driven environment, consistently delivering outstanding results. · Exhibit strong leadership in prioritizing tasks, managing multiple assignments, and adapting to rapidly changing priorities in a team environment. · Drive continuous improvement initiatives to enhance analytical processes and methodologies, ensuring best practices are followed. · Other duties as assigned. We Stand for Excellence, so to achieve success in this role you should have: · Expert-level analytical and financial modeling skills. · Expert-level MS Excel skills. · Must be proficient in MS Office Suite (Outlook, Word, and PowerPoint). · Bachelor’s degree required; Business-related, Real Estate or Finance. · Experience in client-facing interactions/responsibilities. · Strong work ethic with the ability to work independently and deliver results with minimal supervision. · Ability to work effectively both as an individual and as part of a team. · Ability to simplify and effectively communicate complex ideas in writing and through data visualization techniques to diverse audiences. · Experience leveraging AI tools to enhance financial modeling, market research, or document production a plus. · At least 5 years of financial analysis in commercial real estate. We believe People Matter, so we offer benefits that go beyond: Monthly paid volunteer hours and donation matching to benefit our communities Employee Resource Groups that help you grow with us Fertility and family planning services Up to 12-weeks of fully paid parental leave Mental health care, including free counseling sessions: We'll help you fund your learning journey with generous tuition reimbursement Pet insurance discounts And more! Be the Next Big Thing. Be Berkadia. #LI-HB1 #LI-ONSITE The provided base salary information for this position is part of an overall national range. The actual salary within our range for this position will be determined by several factors, including but not limited to the scope, complexity and location of the role, the skills, education, training, credentials, and experience of the candidate. The total compensation package for this role may also include additional incentive opportunities. Compensation $120,000—$150,000 USD Berkadia, as an equal opportunity employer, celebrates our employees’ unique differences, which we believe drives personal and company-wide innovation and creates a people-first culture where your career can take the long view. To achieve these goals, we are committed to the full inclusion of all qualified individuals, without regard to race, religion, age, color, national origin, gender, sexual orientation, gender identity or expression, marital status, domestic partner status, military and veteran status, disability, pregnancy, parental status, genetic information, political affiliation, or any other status protected by federal, state and local laws. In keeping with our commitment, Berkadia takes the necessary steps to provide a workplace free from harassment and discrimination, as well as access and reasonable accommodations for individuals with disabilities. If you require reasonable accommodation to take part in the interview process, please contact talentacquisition@berkadia.com. You have rights under Federal and State employment laws. No question in this Application is intended to elicit information in violation of any such law, nor will any information obtained in response to any question be used in violation of any such law. If you apply for this role, you are acknowledging Berkadia's Application Policy and Berkadia's Privacy Policy. Please click the following links for more information about: EEOC, Employee Rights under the FMLA, EPPA.", "summaryDescription" : "VP, Financial Analysis at Berkadia", "postedDate" : "2026-06-14T20:09:44.793", "createdAt" : "2026-06-14T20:09:44.793", "lastUpdated" : "2026-06-15T23:33:20.943", "ingestTimestamp" : "2026-06-14T20:09:44.793", "mongoId" : "6a2c6cba74d8ee00a091af34", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "VP", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055f1f292fd229cf23389", "title" : "Support and Data Operations Associate (Fixed-term)", "company" : "Foursquare", "industry" : "Finance", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Support and Data Operations Associate in Belgrade, Serbia, adjusted for the technology industry and company size." }, "location" : "Serbia", "locations" : [ "Serbia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:56:17.647", "fingerprint" : "aaf5559b6dd261874f5f77a1afd61a6fd75d245824898322671fec42e45798b8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/foursquare/b98303fd-481a-4f08-9feb-451f7c9b179e/application", "externalId" : "b98303fd-481a-4f08-9feb-451f7c9b179e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belgrade", "country" : "Serbia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "44.8153318,20.4456588" } ], "locationText" : "Belgrade, Serbia", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "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" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, 5+ years of 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, 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 Foursquare Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose. Our products power everything from market analytics to targeted experiences, relied on by some of the world’s most iconic brands. But what makes Foursquare truly special is how we work. We're a team of builders, problem-solvers, and collaborators who care deeply about impact – both in the products we ship and the way we show up for each other. Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges – whether that’s leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way. If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you’ll thrive here. About the Position Foursquare is looking for a Support and Data Operations Associate to join our team in our Belgrade office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office. We are looking for an inquisitive, adaptable, and highly motivated Data Support Associate to join our team. In this role, you will be primarily focused on executing web crawls, manipulating data, and utilizing internal pipeline tools to ensure data quality and availability. This is an internally focused, highly technical role where persistence, vigilance, and the ability to learn and iterate quickly are essential. If you enjoy solving technical puzzles, building and maintaining data flows, and continuously learning new skills, we want you on our team! Please note that this is a fixed-term position for an initial period of one year, with the possibility of extension. In this role, you’ll - Web Crawling & Extraction: Execute and manage web crawling initiatives, extracting data, and adapting quickly when target site structures change. - Data Manipulation & Pipelines: Utilize internal tools to perform data cleanup, matching, and transformations to ensure high data quality and reliability. - Technical Troubleshooting: Be vigilant in monitoring data pipelines; investigate issues, read and interpret log files, implement workarounds, and escalate complex technical problems. - Continuous Improvement: Learn and adapt to new internal tools and technical processes rapidly, iterating on existing workflows to improve efficiency. - Documentation: Create and maintain technical process documentation and how-to guides to empower internal teams What you’ll need - Proficient level of written and verbal English - 1+ years of experience working in data-oriented customer operations, technical support, analytics, or similar roles. - Proficiency in Python or Scala, with strong SQL skills. - Proficiency in Regular Expressions (Regex) for pattern matching, data extraction, validation, and web content processing. - Familiarity with data analysis tools and libraries (e.g., PySpark, pandas), web crawling concepts and execution. - General technical troubleshooting skills: ability to read/interpret/transform log files, comfort navigating command-line interfaces (CLI) and APIs, and a strong capacity for independent research. - Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Benefits and Perks - 25 days of paid vacation – take the time you need to rest and recharge - Private medical insurance – comprehensive coverage for you and your family - FitPass – flexible access to gyms, wellness classes, and sports facilities across Serbia - Hybrid work schedule – in-person collaboration Tuesday–Thursday, with company-paid lunch on office days - Growth Investment Program – funding and resources to support your personal and professional development - Tech setup – we’ll provide a company laptop and the essentials to help you get up and running smoothly Things to Know Foursquare is proud to foster an inclusive environment, free from discrimination. We believe that building the best products starts with bringing together diverse perspectives and backgrounds — it’s how we create better experiences for both our users and our team. We value every voice, and we encourage you to be part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Foursquare Privacy Policy https://location.foursquare.com/legal/privacy-center/applicant/", "summaryDescription" : "Support and Data Operations Associate (Fixed-term) at Foursquare. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-16T00:29:26.610", "lastUpdated" : "2026-06-16T08:56:17.647", "ingestTimestamp" : "2026-06-16T00:29:26.610", "mongoId" : "6a3055f1f292fd229cf23389", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306647f292fd229cfafc8d", "title" : "Lead Product Manager, Data and AI", "company" : "Lyra Health", "industry" : "Product", "salary" : { "min" : 161000.0, "max" : 221500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:46:32.032", "fingerprint" : "7be737cc8ee8a6035793f5d2e69d5f06381cd02b4aff658c15d77ee3e54d1515", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lyrahealth/e3d731e8-eea0-4ae4-bd9a-5624b91ca129/apply", "externalId" : "e3d731e8-eea0-4ae4-bd9a-5624b91ca129", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "remoteFriendly" : true, "rawDescription" : "## Description About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. ## Responsibilities Product Vision & Strategy: Define and champion a compelling multi-year product vision and roadmap for data and AI platforms, aligning technical milestones with Lyra's business growth, revenue objectives, and clinical goals. GenAI & Modern Lifecycle Management: Drive high-impact opportunities leveraging generative AI, Large Language Models (LLMs), agentic AI, and advanced analytics, managing the entire lifecycle from ideation and rapid experimentation to scalable production deployment. Cross-Functional Leadership: Collaborate extensively across complex matrixed stakeholder groups—including Product, Design, Engineering, Clinical Quality, and GTM teams—to embed smart AI capabilities directly into core member experiences and operations. Responsible AI & Governance: Partner closely with Legal, Privacy, and Clinical leadership to maintain rigorous responsible AI practices Impact Metrics & Optimization: Design robust measurement and experimentation frameworks (such as online controlled A/B testing) to track model effectiveness, quantify business outcomes, and evaluate trade-offs between tactical execution and long-term research. Technical Team Collaboration: Translate unstructured business pain points into crisp, detailed product requirements, acting as a translator between highly technical data disciplines and non-technical business leaders. Mentorship & Culture: Lead by example, mentoring junior team members, sharing technical product management best practices, and actively fostering a highly rigorous, data-driven culture across the product organization. ## Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related highly quantitative field. Product Experience: 8+ years (Lead PM) of progressive product management experience within successful enterprise SaaS, cloud-based software, or health tech organizations, with a proven history of launching large-scale products with complex dependencies. Data & AI Expertise: 3+ years of direct experience shipping machine learning and data-driven products at scale. Deep understanding of modern machine learning algorithms, deep learning techniques, generative AI use cases, and the infrastructure needed to deploy LLMs contextually. Communication Skills: Exceptional written and verbal communication, narrative storytelling, and presentation skills; masterful ability to communicate complex algorithmic systems and technical trade-offs to non-technical executive teams and demanding corporate customer audiences. Strategic Execution: Proven capacity to methodically unpack ambiguity, handle competing objectives, establish clear product boundaries, and maintain a calm, execution-oriented mindset in a fast-paced, high-velocity environment. Healthcare Alignment (Nice-to-Have): Prior experience navigating a highly regulated industry (Healthcare Tech, FinTech) with an innate respect for data ethics, privacy constraints, and patient clinical quality. ## Additional Information \"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.\"", "summaryDescription" : "Lead Product Manager, Data and AI at Lyra Health. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T02:55:35.385", "createdAt" : "2026-06-15T02:55:35.385", "lastUpdated" : "2026-06-16T11:46:32.032", "ingestTimestamp" : "2026-06-16T03:24:16.833", "mongoId" : "6a306647f292fd229cfafc8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 161000, "salaryAnnualMax" : 221500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions", "postedDate" : "2026-06-13T14:22:44.066", "createdAt" : "2026-06-13T14:22:44.066", "lastUpdated" : "2026-06-15T07:27:32.772", "ingestTimestamp" : "2026-06-13T14:22:44.066", "mongoId" : "69cf3f062beec4dd3d9340ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382143/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration", "Data architecture", "AWS data services", "Data platform design", "Analytics architecture", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5e3b9bc74574cb677aec", "title" : "T6_Chief Data and AI Architect", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Chief Data and AI Architect in Bangalore, India, adjusted for industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning" ], "timestamp" : "2026-06-15T10:23:16.352", "fingerprint" : "370e2b00770dd492a2575292193f9eb76fd8365da30dfb9faa3fab6b2d172cdd", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877618", "externalId" : "877618", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Architecture, Data Engineering, AI, ML, Spark, Dbt, Kafka, Databricks, Synapse, Snowflake, APIs, Python, R, Scala, TensorFlow, PyTorch, Azure ML, SageMaker, Delta Lake, AWS, GCP, Azure", "professionalSkills" : [ "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence" ], "hardSkillsList" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, AI, ML, Data Engineering", "majorSkillsList" : [ "Data Architecture", "AI", "ML", "Data Engineering" ], "coreResponsibilities" : "Design scalable data architectures, Oversee data ingestion, Oversee data integration, Oversee data transformation, Define metadata best practices, Define data lineage best practices, Define data quality best practices, Lead data model development, Lead data pipeline development, Lead data transformation development, Enable self-serve analytics, Identify AI/ML use cases, Evaluate AI/ML use cases, Design AI solutions, Build AI pipelines, Build ML pipelines, Promote responsible AI, Define AI governance frameworks, Implement AI governance frameworks, Establish model policies, Act as thought leader, Inspire cross-functional teams, Mentor cross-functional teams, Facilitate knowledge sharing, Promote technical excellence, Promote curiosity", "teamCollaboration" : "Cross-functional teams; DevOps teams; Cloud teams; BI teams; Analytics teams; Data Scientists; MLOps engineers; Product owners", "domainKnowledge" : "Data lakehouse; Streaming data; Unstructured data; Structured data; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Responsible AI; Ethical AI; Model interpretability; GenAI", "domainList" : [ "data-lakehouse", "streaming-data", "unstructured-data", "structured-data", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "responsible-ai", "ethical-ai", "model-interpretability", "genai" ], "domainSpecificKnowledge" : [ "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI" ], "toolProficiency" : [ "Dbt Cloud", "Fivetran", "Airflow" ], "communicationSkills" : "Stakeholder communication; Technical concepts communication", "innovationCreativity" : "Innovation", "qualificationsBasic" : "Bachelor's or Master's degree, 10+ years experience, Cloud data platforms experience, AI/ML frameworks knowledge, Governance frameworks experience, Data privacy experience, MLOps experience, Excellent communication skills, Stakeholder management skills, Lead technical teams ability", "qualificationsPreferred" : "AI / GenAI usecase delivery experience, Model interpretability experience, Regulatory compliance experience, Enterprise data modernization experience, AI transformation programs experience, Cloud data architecture certifications, AI certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. We are seeking a visionary Data and AI Chief Architect to lead the design, development, and governance of department wide data and AI solutions. This role requires a balance of deep technical expertise, architectural vision, and the ability to inspire cross-functional teams toward a unified data and AI strategy. As a key member of the architecture and innovation team, you will shape how data is collected, transformed, and leveraged across the organization — enabling scalable data engineering pipelines, responsible AI adoption, and the delivery of intelligent business outcomes. Key Responsibilities 1. Data Architecture & Engineering Design and implement modern, scalable data architectures (data lakehouse, streaming, APIs, etc.) to support analytics and AI workloads. Oversee data ingestion, integration, and transformation processes across structured and unstructured sources. Partner with DevOps and Cloud teams to ensure data platforms meet enterprise performance, security, and compliance standards. Define best practices for metadata management, data lineage, and data quality frameworks. 2. Data Transformation & Analytics Enablement Lead the development of robust data models, pipelines, and transformations using modern tools (e.g., Spark, dbt, Kafka, Databricks, Synapse, Snowflake, etc.). Collaborate with BI and analytics teams to ensure data is clean, contextual, and analytics-ready. Enable business units to self-serve and innovate through governed data products and APIs. 3. AI Use Case Discovery & Delivery Partner with business stakeholders to identify and evaluate high-impact AI/ML use cases. Provide technical leadership in designing AI solutions — from proof of concept to production deployment. Collaborate with Data Scientists and MLOps engineers to build scalable AI and machine learning pipelines. Promote responsible AI practices ensuring transparency, fairness, and explainability in all AI initiatives. 4. AI Governance & Strategy Define and implement frameworks for AI governance, including ethical AI guidelines, model lifecycle management, and compliance. Establish policies for model versioning, monitoring, and risk assessment. Act as a thought leader on AI maturity and innovation across the organization. 5. Cross-Functional Leadership & Inspiration Inspire and mentor cross-functional teams — including engineers, analysts, and product owners — toward data-driven and AI-powered ways of working. Facilitate knowledge sharing and promote a culture of technical excellence and curiosity. Communicate complex technical concepts to non-technical stakeholders effectively. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related field. 10+ years of experience in data architecture, data engineering, or AI/ML solution design. Proven experience with cloud data platforms (Azure, AWS, or GCP) and modern data stack tools. Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker, etc.). Experience with governance frameworks, data privacy, and MLOps. Excellent communication and stakeholder management skills. Demonstrated ability to lead and inspire technical teams. Preferred Qualifications Experience in AI / GenAI usecase delivery , model interpretability, and regulatory compliance. Prior experience leading enterprise data modernization or AI transformation programs. Certifications in cloud data architecture or AI (e.g., Azure Data Engineer/Architect, AWS Certified Machine Learning). Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "T6_Chief Data and AI Architect at MBRDI. Skills: Data Architecture, AI, ML, Data Engineering. Design scalable data architectures. 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Your main objective will be to build trust with customers in terms of the quality of the information received. This through timely communication of changes, coverage analysis, methodological explanations and identification and monitoring of potential quality problems. * Continuous communication with the client for application of changes * Coverage analysis, interpretation of results, presentation with client and follow-up to actions triggered by said analysis. * Client Inquiries management: filtering, registration, monitoring, review, communication. * Client Order Management for feasibilities: filtering, registration, monitoring, review, communication. * Provide training to clients on NielsenIQ methodologies and variable calculation. * Promotion of the use of technology. ## Qualifications A person with information analysis skills focused on problem solving and understanding the scope and limitations of NielsenIQ methodologies. Knowing how to prioritize and size problems is key to success. Requirements * Education: Degree in studies such as Marketing, Engineering, Actuary or related. * Desirable experience in companies related to market research, Retailers or Manufacturers of mass consumption, can be in the form of professional practices or internship programs. * Necessary skills: analysis and numerical ease, effective communication, creativity, organization and prioritization, taste for customer relations. * Advanced level of English * Excel advanced, obligatory * Experience with large data bases and insights * Experience with direct contact with clients ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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Your main objective will be to build trust with customers in terms of the quality of the information received. This through timely communication of changes, coverage analysis, methodological explanations and identification and monitoring of potential quality problems. * Continuous communication with the client for application of changes * Coverage analysis, interpretation of results, presentation with client and follow-up to actions triggered by said analysis. * Client Inquiries management: filtering, registration, monitoring, review, communication. * Client Order Management for feasibilities: filtering, registration, monitoring, review, communication. * Provide training to clients on NielsenIQ methodologies and variable calculation. * Promotion of the use of technology. ## Qualifications A person with information analysis skills focused on problem solving and understanding the scope and limitations of NielsenIQ methodologies. Knowing how to prioritize and size problems is key to success. Requirements * Education: Degree in studies such as Marketing, Engineering, Actuary or related. * Desirable experience in companies related to market research, Retailers or Manufacturers of mass consumption, can be in the form of professional practices or internship programs. * Necessary skills: analysis and numerical ease, effective communication, creativity, organization and prioritization, taste for customer relations. * Advanced level of English * Excel advanced, obligatory * Experience with large data bases and insights * Experience with direct contact with clients ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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"title" : "Sr Director, Data and Application Engineering", "company" : "ABACUS", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Sr Director, Data and Application Engineering in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote in US", "locations" : [ "Remote in US" ], "timestamp" : "2026-06-15T21:47:59.306", "fingerprint" : "7470b233e5544201af654abb5b65c275bc32fcf3e35253199982be98ed3b7f16", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abacustechnology.com/about/careers/current-vacancies/?gh_jid=7726360003", "externalId" : "7726360003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI/ML, Data platform, DevOps, Application Development, CI/CD, Automation tooling, ServiceNow development, ServiceNow configuration, AI-powered tools, AI agents", "professionalSkills" : [ "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication" ], "hardSkillsList" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Outcome reporting", "level" : "intermediate" }, { "name" : "Governance standards", "level" : "intermediate" }, { "name" : "Compliance standards", "level" : "intermediate" }, { "name" : "Security standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Application Development, DevOps, AI Development", "majorSkillsList" : [ "Data Engineering", "Application Development", "DevOps", "AI Development" ], "coreResponsibilities" : "Lead technical teams, Drive engineering initiatives, Oversee practice areas, Align teams to goals, Ensure rigorous practices, Ensure velocity, Ensure collaboration, Build enterprise-grade platforms, Build enterprise-grade solutions, Support career development, Define KPIs, Track KPIs, Report progress, Report risks, Report outcomes, Ensure practices meet governance, Ensure practices meet compliance, Ensure practices meet security, Architect enterprise data platform, Resource enterprise data platform, Deliver data platform capabilities, Structure ServiceNow backlog, Prioritize ServiceNow backlog, Progress ServiceNow development, Identify DevOps automation initiatives, Scope DevOps automation initiatives, Deliver DevOps automation efficiency, Own Abacus portal roadmap, Communicate Abacus portal roadmap, Progress Abacus portal development, Deploy AI solutions, Deliver AI business value, Define team charters, Define team goals, Define team delivery metrics, Reflect cross-team collaboration, Reflect consistent delivery", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; Executive leadership; Service delivery team; Across multiple disciplines", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Regulated environments; Financial services; Healthcare; Managed Services Provider (MSP); ITSM platforms; Data lakes; Lakehouses; Data mesh architectures", "domainList" : [ "regulated-environments", "financial-services", "healthcare", "managed-services-provider-msp", "itsm-platforms", "data-lakes", "lakehouses", "data-mesh-architectures" ], "domainSpecificKnowledge" : [ "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Executive communication; Stakeholder management; Compelling communication", "continuousLearning" : "Online courses", "outcomesObjectives" : "Enterprise data platform foundation architected; Enterprise data platform resourced; Enterprise data platform delivering capabilities; ServiceNow development backlog progressing; DevOps automation delivering efficiency; Abacus portal roadmap progressing; AI solutions deployed; AI solutions delivering value; Teams operate with clear charters; Teams operate with clear goals; Teams operate with clear metrics; Engineering culture reflects collaboration; Engineering culture reflects delivery", "qualificationsBasic" : "12+ years software engineering, data engineering, DevOps, 7+ years progressive engineering leadership, Managing managers or multi-team organizations, Delivering enterprise-scale platforms and applications, Working in regulated industries, Translate business objectives into technical strategy", "qualificationsPreferred" : "Experience in Managed Services Provider (MSP), Familiarity with ServiceNow development and configuration, Hands-on data platform architecture, Hands-on AI/ML engineering, Hands-on DevOps automation, Experience with AI governance frameworks, Experience with risk management frameworks, Experience with compliance frameworks, Exposure to enterprise data platform design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Overview We are seeking a highly strategic and execution-focused Sr Director, Data and Application Engineering to lead a broad portfolio of technical teams driving the organization's most critical engineering initiatives. Reporting directly to the Chief Technology Officer (CTO), this leader will oversee four core practice areas — DevOps, Application Development, Data Engineering, and Internal AI Development — and will be responsible for aligning these teams to deliver on the department's strategic goals. As a 1,000-person Managed Services Provider (MSP) serving financial services and healthcare clients, we operate in highly regulated environments that demand secure, compliant, and reliable engineering practices. This leader will ensure all teams operate with the rigor, velocity, and collaboration required to build enterprise-grade platforms and solutions. Reporting Structure Reports to: Chief Technology Officer (CTO) Direct Reports: Engineering leads across DevOps, Application Development, Data Engineering, and AI Development Teams Overseen DevOps Responsible for the infrastructure, CI/CD pipelines, and internal automation capabilities of the organization. This team supports development velocity, reliability, and the continued expansion of automation tooling across internal operations. Application Development Owns the design, development, and ongoing maintenance of internally built applications — most notably the Abacus portal — and supports service delivery initiatives including development and configuration work within ServiceNow. Data Engineering Leads the architecture, construction, and operation of the organization's enterprise data platform, enabling reliable, governed, and scalable data infrastructure across business units. Internal AI Development Drives the development and deployment of AI-powered tools and agents that deliver measurable efficiency gains across the organization. Partners with internal stakeholders to identify, prioritize, and implement AI solutions aligned to business needs. Departmental Goals This role is accountable for organizing and directing all four teams toward the following high-level department objectives: Build and mature the organization's enterprise data platform to support scalable, governed, and insight-ready data infrastructure Assist the service delivery team with the continued development and configuration of ServiceNow to improve ITSM capabilities and operational workflows Expand and integrate the DevOps team's scope to encompass internal automation initiatives, reducing manual effort and improving engineering efficiency across the organization Own the roadmap, development, and ongoing evolution of the internally developed Abacus portal Collaborate with internal stakeholders to identify, prioritize, and deliver AI solutions that drive organizational efficiency and support strategic business outcomes Key Responsibilities Strategic Leadership support career development at all levels Metrics, Reporting & Governance Define and track KPIs across teams (e.g., deployment frequency, platform uptime, data quality, AI adoption, development velocity) Regularly report progress, risks, and outcomes to the CTO and executive leadership Ensure all engineering practices meet governance, compliance, and security standards for regulated environments Qualifications Required 12+ years of experience in software engineering, data engineering, DevOps, or related technical disciplines 7+ years in progressive engineering leadership roles, including managing managers or multi-team organizations Demonstrated experience overseeing multiple, diverse technical teams simultaneously Proven track record of delivering enterprise-scale platforms and applications in production environments Experience working in regulated industries such as financial services, healthcare, or similar Strong ability to translate business objectives into technical strategy and measurable delivery outcomes Excellent executive communication and stakeholder management skills Preferred Experience within a Managed Services Provider (MSP) or services-based technology organization Familiarity with ITSM platforms, particularly ServiceNow development and configuration Hands-on background in one or more of: data platform architecture, AI/ML engineering, or DevOps automation Experience with AI governance, risk management, and compliance frameworks Exposure to enterprise data platform design (e.g., data lakes, lakehouses, data mesh architectures) Key Competencies Strategic vision balanced with pragmatic execution Cross-functional collaboration and executive stakeholder management Organizational design and team development across multiple disciplines Data-driven decision-making and outcomes orientation Clear, compelling communication with both technical and non-technical audiences Ability to lead through ambiguity in a fast-paced, evolving environment Success Metrics (First 12–18 Months) Enterprise data platform foundation is architected, resourced, and delivering initial capabilities ServiceNow development backlog is structured, prioritized, and progressing in partnership with service delivery DevOps automation initiatives are identified, scoped, and delivering measurable efficiency gains Abacus portal roadmap is owned, communicated, and actively progressing At least 2–3 AI solutions are deployed and delivering measurable business value All four engineering teams operate with clear charters, goals, and delivery metrics Engineering culture reflects strong cross-team collaboration and consistent delivery practices Why This Role Matters This role sits at the intersection of platform, product, data, and AI — and is central to the organization's ability to scale, innovate, and operate with excellence. The Senior Director of Engineering will unify four critical engineering functions under a shared vision, accelerating the delivery of the enterprise data platform, modernizing internal tooling, and embedding AI-driven efficiency into the organization's core operations. This is a high-visibility, high-impact leadership role with direct line of sight to the CTO and meaningful influence over the company's long-term technical direction. Benefits of Working for Abacus: Exposure to diverse array of technologies Part of a team of experienced engineers who aim to deliver exceptional service Competitive compensation Performance bonus Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO Opportunities to further technical education through online courses Positive, friendly, supportive work environment", "summaryDescription" : "Sr Director, Data and Application Engineering at ABACUS. Skills: Data Engineering, Application Development, DevOps, AI Development. Lead technical teams. 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"https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine 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"name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. Lead platform reliability", "createdAt" : "2026-06-14T03:15:33.760", "lastUpdated" : "2026-06-15T08:00:16.022", "ingestTimestamp" : "2026-06-14T03:15:33.760", "mongoId" : "6a2cafed74d8ee00a09d83d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition", "Leadership", "Data Platform", "Decision Tooling", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Roadmap planning", "Data platform", "Decision tooling", "AI", "Data engineering", "Travel industry" ], "skillCount" : 42, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f2df292fd229c055eac", "title" : "Staff Data Scientist, Discover Personalization and Quality", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Data Scientist in Mountain View, CA, adjusted for the technology industry and a large company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:46:29.512", "fingerprint" : "1b753ce697dfd232a32fa54cf67500ba9977d28e7d9b8f4f918c6432c0ce4afb", "source" : "google", "language" : "en", "externalId" : "92402841288614598", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "technicalSkills" : "Python, SQL, 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", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Data science, Personalization, Quality", "majorSkillsList" : [ "Machine learning", "Data science", "Personalization", "Quality" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement experiments, Analyze data to identify trends, Build and maintain data pipelines, Collaborate with engineering teams, Communicate findings to stakeholders, Mentor junior data scientists", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Stakeholders", "domainKnowledge" : "Personalization systems; Data quality frameworks; Recommendation engines; User behavior analysis", "domainList" : [ "personalization-systems", "data-quality-frameworks", "recommendation-engines", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis" ], "toolProficiency" : [ "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Technical presentations; Data storytelling", "documentationSkills" : "Technical documentation; Model documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve personalization algorithms; Enhance data quality; Drive product innovation", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "summaryDescription" : "Staff Data Scientist, Discover Personalization and Quality. 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