{ "count" : 46963, "data" : [ { "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. 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Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

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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. 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At DPD, we aren’t just moving parcels; we’re leading the charge in green logistics and tech-driven delivery. We’re looking for a reliable, tech-savvy 7.5 Tonne Driver to join our team. If you want a role with a clear routine, and a company that actually invests in your future, let’s talk. DPD UK is a member of Geopost who are a market leader in parcel delivery and e-commerce solutions, providing a broad range of delivery and innovative services for customers worldwide. The Perks * Pay: £16.05 per hour + enhanced overtime rates. * Contract Type: Permanent / 40 Hours per week * Days of Work: Monday to Friday * Shift Pattern: 08:30-17:15 * Stability & Growth: We promote from within. This isn’t just a job; it’s a career path. * Sustainability: Work for a company aiming to be the UK’s greenest delivery partner. * Wellness & Support: Health & wellbeing services via Unum Help@Hand and Vitality at Work for you and your family. Milestone Days off(e.g. Birthdays) Enhanced maternity / paternity pay. Life assurance and holiday trading options. * Retail Discounts: Save at 100s of retailers (including 5% off your weekly shop). The Role You’ll be the face of DPD, managing a designated route with roughly 20-25 deliveries and up to 7 collections. You’re not just a driver; you’re a problem-solver and a tech-user. Your role is vital in providing a service that genuinely makes a difference to our customers. * Drive: Safely operate a 7.5 Tonne vehicle across local routes. * Tech: Use our industry-leading handheld Saturn devices to manage deliveries and track progress. * Connect: Be the friendly face our customers see every day. * Move: Load / unload parcels using provided equipment, such as a sack barrow / hand truck, to safely handle heavier items ## Qualifications What You Bring * The Essentials: A valid 7.5 Tonne (C1) licence and DQC/CPC accreditation. * Experience: At least 1 year of experience handling 7.5 Tonne vehicles. * Vibe: You’re professional, approachable, and thrive in a fast-paced environment. * Fitness: You’re physically active and comfortable with the lifting involved in the job. * Values: You care about doing a good job and treat customers and colleagues with respect. Ready to start? If you have the drive and the DPD DNA to succeed, we want to hear from you. DPD is a Disability Confident Employer and a member of the Valuable 500. We value your unique perspective. To find out why DPD is a great place to work for everyone please click on the following link -[You & DPD](https://jobs.dpd.co.uk/you-and-dpd/) #REF10502V #LI-DNP", "summaryDescription" : "7. 5 Tonne Collection and Delivery Driver at DPD Group UK. Safely operate a 7.5 Tonne vehicle. Use handheld Saturn devices", "postedDate" : "2026-06-15T09:22:06.000", "createdAt" : "2026-06-16T00:06:35.997", "lastUpdated" : "2026-06-16T09:33:56.103", "ingestTimestamp" : "2026-06-16T00:06:35.997", "mongoId" : "6a305c2af292fd229cf60f31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "DQC/CPC accreditation", "Saturn devices" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3062fff292fd229cf9c0ae", "title" : "7. 5 Tonne Collection and Delivery Driver", "company" : "DPD Group UK", "industry" : "Logistics And Supply Chain", "salary" : { "min" : 16.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hinckley, England, United Kingdom", "locations" : [ "Hinckley", "England", "United Kingdom" ], "certifications" : [ "DQC/CPC accreditation" ], "timestamp" : "2026-06-16T08:03:19.821", "fingerprint" : "202e15f2b2435cbadf36170f3630f7c4fd770c4c0243e3467aac80c3eb254f6c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DPDGroupUK1/744000132153389-7-5-tonne-collection-and-delivery-driver-", "externalId" : "744000132153389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hinckley", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5410591,-1.3729379" } ], "locationText" : "Hinckley, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceLevel" : "not-applicable", "coreResponsibilities" : "Safely operate a 7.5 Tonne vehicle, Use handheld Saturn devices, Manage deliveries, Track progress, Load parcels, Unload parcels, Handle heavier items", "toolProficiency" : [ "Saturn devices" ], "specialRequirements" : "Physical lifting", "qualificationsBasic" : "Valid 7.5 Tonne (C1) licence, DQC/CPC accreditation, 1 year of experience handling 7.5 Tonne vehicles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LOCATION: DPD Hinckley - Logix Road, R D Park, Hinckley, LE10 3BQ Ready to join the company that aims to be the UK’s most sustainable delivery team? At DPD, we aren’t just moving parcels; we’re leading the charge in green logistics and tech-driven delivery. We’re looking for a reliable, tech-savvy 7.5 Tonne Driver to join our team. If you want a role with a clear routine, and a company that actually invests in your future, let’s talk. DPD UK is a member of Geopost who are a market leader in parcel delivery and e-commerce solutions, providing a broad range of delivery and innovative services for customers worldwide. The Perks * Pay: £16.05 per hour + enhanced overtime rates. * Contract Type: Permanent / 40 Hours per week * Days of Work: Monday to Friday * Shift Pattern: 08:30-17:15 * Stability & Growth: We promote from within. This isn’t just a job; it’s a career path. * Sustainability: Work for a company aiming to be the UK’s greenest delivery partner. * Wellness & Support: Health & wellbeing services via Unum Help@Hand and Vitality at Work for you and your family. Milestone Days off(e.g. Birthdays) Enhanced maternity / paternity pay. Life assurance and holiday trading options. * Retail Discounts: Save at 100s of retailers (including 5% off your weekly shop). The Role You’ll be the face of DPD, managing a designated route with roughly 20-25 deliveries and up to 7 collections. You’re not just a driver; you’re a problem-solver and a tech-user. Your role is vital in providing a service that genuinely makes a difference to our customers. * Drive: Safely operate a 7.5 Tonne vehicle across local routes. * Tech: Use our industry-leading handheld Saturn devices to manage deliveries and track progress. * Connect: Be the friendly face our customers see every day. * Move: Load / unload parcels using provided equipment, such as a sack barrow / hand truck, to safely handle heavier items ## Qualifications What You Bring * The Essentials: A valid 7.5 Tonne (C1) licence and DQC/CPC accreditation. * Experience: At least 1 year of experience handling 7.5 Tonne vehicles. * Vibe: You’re professional, approachable, and thrive in a fast-paced environment. * Fitness: You’re physically active and comfortable with the lifting involved in the job. * Values: You care about doing a good job and treat customers and colleagues with respect. Ready to start? If you have the drive and the DPD DNA to succeed, we want to hear from you. DPD is a Disability Confident Employer and a member of the Valuable 500. We value your unique perspective. To find out why DPD is a great place to work for everyone please click on the following link -[You & DPD](https://jobs.dpd.co.uk/you-and-dpd/) #REF10502V #LI-DNP", "summaryDescription" : "7. 5 Tonne Collection and Delivery Driver at DPD Group UK. Safely operate a 7.5 Tonne vehicle. Use handheld Saturn devices", "postedDate" : "2026-06-15T09:22:06.000", "createdAt" : "2026-06-15T23:51:31.193", "lastUpdated" : "2026-06-16T08:03:19.821", "ingestTimestamp" : "2026-06-15T23:51:31.193", "mongoId" : "6a3062fff292fd229cf9c0ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "DQC/CPC accreditation", "Saturn devices" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "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" : "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. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b9c74d8ee00a091380d", "title" : "Data Collection Engineer", "company" : "SQUAD", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Collection Engineer in Kyiv, Ukraine, adjusted for the Technology industry and contract employment type." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-15T10:14:34.652", "fingerprint" : "1bba85c6719e98cca246d68a8451251c7f8d5847277d7446f62ac9bf00314761", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://squad.tech/careers/?gh_jid=7496137", "externalId" : "7496137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "CONTRACT", "technicalSkills" : "Firmware flashing, Network setup, Sensor calibration, Wi-Fi configuration", "professionalSkills" : [ "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions" ], "hardSkillsList" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation" ], "hardSkills" : [ { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Data collection sessions", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Collection, Smart Home Devices, Field Operations", "majorSkillsList" : [ "Data Collection", "Smart Home Devices", "Field Operations" ], "coreResponsibilities" : "Set up and configure devices, Execute and monitor data collection, Ensure data quality and compliance, Prepare field locations, Optimize device placement, Coordinate third-party providers, Perform HW/FW/network troubleshooting, Mitigate operational risks, Document results and issues, Drive improvements in efficiency", "teamCollaboration" : "Cross-functional teams; Project Coordinators", "domainKnowledge" : "Smart home devices; Home automation; Security devices; Video technologies; Local networks", "domainList" : [ "smart-home-devices", "home-automation", "security-devices", "video-technologies", "local-networks" ], "domainSpecificKnowledge" : [ "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks" ], "toolProficiency" : [ "Confluence" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document results", "continuousLearning" : "Corporate courses; Knowledge hubs; English classes; Educational leaves", "problemSolvingSkills" : "Problem-solver; Troubleshooting", "specialRequirements" : "Work evening hours", "qualificationsBasic" : "Experience with Smart Home devices, Solid understanding of network setup, Hands-on experience with technical equipment, Confident use of Google Workspace, Teamwork and cross-functional collaboration, High adaptability to changing environments, Clear and effective communication, Excellent time management, Self-organization and multitasking, Good written and spoken English", "qualificationsPreferred" : "Quality Assurance experience, Working knowledge of UNIX/Linux, Command-line basics", "workSiteFlexibility" : "Onsite", "rawDescription" : "Team Summary We are a Data Collection team focused on improving smart home devices and features through high-quality data. The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production. Job Summary We are looking for a Data Collection Engineer to join our team. In this role, you will deep-dive into the specifics of smart home device functionality and collaborate with cross-functional teams to influence device/feature performance/detection quality improvement. This role offers an opportunity to work at the intersection of two fields: Technical Quality Assurance and field production (similar to debugging and shooting on a cinema set). The ideal candidate is a proactive problem-solver, creative in finding technical solutions, and resilient to changing external factors. Responsibilities and Duties Set up and configure data collection devices on-site, including firmware flashing, network setup, and sensor calibration Execute and monitor multi-device data collection sessions at remote locations according to defined scenarios, ensuring data quality and compliance in real time Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios Perform HW/FW/network troubleshooting during collection with remote technical support when needed Mitigate on-site operational risks and align with Project Coordinators on resource constraints Document results, issues, and field observations, and drive improvements in data collection efficiency and automation Qualifications and Skills Experience working with Smart Home, home automation, security devices, or video technologies Solid understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks) Hands-on experience with technical equipment, tools, hardware installations, or field operations Confident use of Google Workspace and Confluence Strong teamwork, cross-functional collaboration, and high adaptability to changing environments Clear and effective communication Excellent time management, self-organization, and multitasking skills Good written and spoken English. Nice to have Quality Assurance experience (hardware or software testing) Working knowledge of UNIX/Linux environments and command-line basics Flexibility to work evening hours if requested by project specifics. We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member. Competitive compensation and perks. Annual performance review. Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company. Gig-contract. 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves. Medical insurance is provided from day one. Sick leaves and medical leaves are available. Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Data Collection Engineer at SQUAD. Skills: Data Collection, Smart Home Devices, Field Operations. Set up and configure devices. Execute and monitor data collection", "postedDate" : "2026-06-14T08:39:16.252", "createdAt" : "2026-06-14T08:39:16.252", "lastUpdated" : "2026-06-15T10:14:34.652", "ingestTimestamp" : "2026-06-14T08:39:16.252", "mongoId" : "6a2c6b9c74d8ee00a091380d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation", "Data Collection", "Smart Home Devices", "Field Operations", "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions", "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks", "Confluence" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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. Own product roadmaps", "postedDate" : "2026-06-15T23:29:04.090", "createdAt" : "2026-06-15T23:29:04.090", "lastUpdated" : "2026-06-16T11:06:39.308", "ingestTimestamp" : "2026-06-15T23:29:04.090", "mongoId" : "6a3066fff292fd229cfb805a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Influencing", "Data strategy", "Product ownership", "Technical leadership", "Fan engagement", "Lifecycle marketing", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30794df292fd229c031216", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 192000.0, "max" : 238810.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T15:07:30.375", "fingerprint" : "aaf0e33227ca131481be4962d98f3d416a3d9e7ac0a72837e11beccb51a05d5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/791ccf38-f164-4521-b05d-6f35fa1e7245/application", "externalId" : "791ccf38-f164-4521-b05d-6f35fa1e7245", "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", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, 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, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "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", "Real-time analytics", "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" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with 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. 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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" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "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", "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" : "6a305762f292fd229cf390d6", "title" : "Collection Manager", "company" : "Toss", "industry" : "FinTech", "salary" : { "min" : 6.5E7, "max" : 9.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Collection Manager in Seoul, South Korea, adjusted for the banking industry and company size." }, "location" : "Seoul, Seoul, South Korea", "locations" : [ "Seoul", "Seoul", "South Korea" ], "timestamp" : "2026-06-16T08:37:21.889", "fingerprint" : "3c76bb1850513c0599ccd712c85379d626012e1ff6679bada4c43ad391c05e37", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://toss.im/career/job-detail?gh_jid=7773277003", "externalId" : "7773277003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "state" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5534363,126.9697994" } ], "locationText" : "Seoul, Seoul, South Korea", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Data analysis", "Strategy planning", "Action item execution", "Recovery strategy", "Operational improvement", "Data analysis", "Strategy development", "Action item execution", "Recovery operations", "Operational improvement", "Data analysis", "Experimentation", "Collection management", "Innovation" ], "hardSkillsList" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Fee structure design", "level" : "intermediate" }, { "name" : "Recovery strategy design", "level" : "intermediate" }, { "name" : "Operational improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategy planning", "level" : "intermediate" }, { "name" : "Action item execution", "level" : "intermediate" }, { "name" : "Recovery operations management", "level" : "intermediate" }, { "name" : "Recovery efficiency improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Collection strategy, Outsourcing management, Recovery operations, Data analysis", "majorSkillsList" : [ "Collection strategy", "Outsourcing management", "Recovery operations", "Data analysis" ], "coreResponsibilities" : "Manage performance of collection outsourcing partners, Manage contracts with collection outsourcing partners, Operate and manage collection outsourcing business, Plan fee structures for outsourcing partners, Design and execute operational plans to increase recovery, Analyze delinquency and recovery performance metrics, Plan recovery strategies based on analysis, Execute action items for recovery strategies, Manage short-term recovery operations, Continuously improve outsourcing partner recovery efficiency, Innovate collection management through data analysis and experiments", "domainKnowledge" : "Post-loan management; Collection outsourcing; Fee structures; Recovery metrics; Regulatory changes; Personal debtor protection act; Personal business loan 119", "domainList" : [ "post-loan-management", "collection-outsourcing", "fee-structures", "recovery-metrics", "regulatory-changes", "personal-debtor-protection-act", "personal-business-loan-119" ], "domainSpecificKnowledge" : [ "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "communicationSkills" : "Stakeholder coordination", "problemSolvingSkills" : "Data analysis; Strategy development", "outcomesObjectives" : "Increase recovery rates; Improve outsourcing partner recovery efficiency; Innovate collection management", "qualificationsBasic" : "3+ years of experience in post-loan management in the financial sector, Experience operating collection outsourcing partners, Experience planning or changing fee structures, Experience changing operational methods, Domain knowledge of post-loan management policies and systems, High understanding of post-loan management, Ability to handle data proficiently, Ability to connect performance analysis to strategy development, Ability to proactively coordinate communication with various stakeholders", "qualificationsPreferred" : "Experience in write-offs, legal actions, or subrogation, Experience reflecting regulatory changes in collection operations, Communication experience with industry groups or regulatory authorities, Experience resolving internal discussion points", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "합류하게 될 팀에 대해 알려드려요 토스뱅크 Collection Manager는 Collection Tribe 내 Collection Strategy Team에 속하게 돼요. Collection Strategy Team은 NPL Management Team과 함께 토스뱅크의 여신 사후관리 업무를 담당해요. 그 중 Collection Strategy Team은 연체가 부실로 넘어가지 않도록 방어하고, 추심·회수 전략을 수립하여 명확한 액션아이템을 도출하는 역할을 맡고 있어요. 이번에 합류하실 분은 특히 채권추심 업무위탁사(위임사) 운영을 중심으로, 회수율을 높이기 위한 다양한 시도를 함께하실 분을 기대하고 있어요. 합류하면 함께할 업무예요 채권추심 업무위탁사(위임사)의 성과 관리, 계약 관리 등 채권추심 업무위탁 관련 업무 전반을 운영·관리해요. 위임사 수수료 체계(스킴)를 기획하고, 회수 성과를 높이기 위한 운영 방안을 설계·실행해요. 연체율 및 회수 관련 성과 지표를 분석하고, 분석 결과를 바탕으로 회수 전략을 기획하여 액션 아이템을 실행해요. 연체가 장기화되지 않도록 단기 회수 운영을 관리하며, 위임사의 회수 효율을 지속적으로 개선해요. 데이터 분석과 다양한 실험을 통해 기존 금융사의 관습과는 다른 채권관리의 혁신을 만들어요. 이런 분과 함께하고 싶어요 금융권에서 여신 사후관리 업무를 3년 이상 경험해오신 분을 찾고 있어요. 특히 채권추심 업무위탁사(위임사) 운영 경험이 있고, 수수료 스킴을 직접 기획하거나 운영 방식에 변화를 만들어본 경험이 있으신 분이 필요해요. 여신 사후관리 정책 및 제도에 대한 도메인 지식과 전문성을 갖춘 분이 필요해요. 사후관리 업무 전반에 대한 이해도가 높고, 데이터를 능숙하게 다루어 성과 분석과 전략 도출까지 연결할 수 있으면 좋아요. 다양한 이해관계자와의 커뮤니케이션을 주도적으로 조율할 수 있는 역량이 있으면 좋아요. 매상각·법조치·대위변제 등 사후관리 전반의 운영 경험이 있다면 좋아요. 이력서는 이렇게 작성하시는 걸 추천해요 채권추심 업무위탁(위임사) 운영 관련해서 회수 성과를 향상시킨 경험을 구체적으로 작성해주세요. 특히 수수료 스킴을 기획하거나 운영 방식에 변화를 준 사례가 있다면 꼭 담아주세요. 개인채무자보호법, 개인사업자대출119 등 제도 변화에 맞춰 채권추심이나 채권추심 업무위탁 등 실질적인 여신관리 업무에 이를 반영한 구체적인 경험을 작성해주세요. 그 과정에서 업권 단체 또는 감독 당국 등과 소통한 경험이나 내부 논의 과정에서 있었던 쟁점, 그리고 이를 어떻게 해결했는지가 드러나면 더욱 좋아요. 토스뱅크팀은 서류 내용의 구체성을 중요하게 생각해요. 기존 업무를 단순한 시계열로 나열하기보다는, JD를 기준으로 사례와 성과에 기반한 경험을 상세히 기재해주세요. 토스뱅크로의 합류 여정 서류접수 > 직무 인터뷰 > 문화적합성 인터뷰 > 레퍼런스 체크 > 처우협의 > 최종합격 및 입사 꼭 확인해주세요 이력서 및 제출 서류에 허위 사실이 발견되거나 근무 이력 중 징계사항이 확인될 경우, 채용이 취소될 수 있어요. 장애인 및 국가보훈대상자는 지원 시 관련법에 따라 우대하고 있어요. 토스뱅크 내부규정상 결격사유 해당자 또는 금융기관 인력 채용 상 결격사유 해당자는 채용이 취소될 수 있어요. 함께 할 동료를 위한 한마디 \"새로운 은행의 기반을 튼튼히 닦는 일에 임팩트있게 기여할 수 있어요.\" 토스뱅크는 중저신용 고객을 포용하여 새로운 은행을 만들고 있어요. 앞으로 토스뱅크의 대출이 더욱 다양해지고 늘어나더라도, 단단하게 운영할 수 있도록 하는 것이 저희의 가장 큰 목표예요. 이 목표 달성을 위해서 안정적인 연체율/회수율 관리에 자신 있는 동료를 기다리고 있으니 많은 지원과 관심 부탁드려요!", "summaryDescription" : "Collection Manager at Toss. Skills: Collection strategy, Outsourcing management, Recovery operations, Data analysis. Manage performance of collection outsourcing partners. Manage contracts with collection outsourcing partners", "postedDate" : "2026-06-15T23:29:25.135", "createdAt" : "2026-06-15T23:29:25.135", "lastUpdated" : "2026-06-16T08:37:21.889", "ingestTimestamp" : "2026-06-15T23:29:25.135", "mongoId" : "6a305762f292fd229cf390d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Experimentation", "Collection strategy", "Outsourcing management", "Recovery operations", "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Recovery strategy", "Strategy development", "Collection management", "Innovation", "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "skillCount" : 28, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca68b74d8ee00a09bc130", "title" : "Manager, Recruiting Operations and Systems", "company" : "Apptronik", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Recruiting Operations and Systems in Austin, United States, adjusted for industry and seniority." }, "location" : "Austin, TX", "locations" : [ "Austin", "TX" ], "timestamp" : "2026-06-16T03:14:09.048", "fingerprint" : "78665af60b8fcb857d968c6d6016e36d4398d93bf3d20b1d9c5ed6a571a6cbb6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/apptronik/jobs/6026924004?gh_jid=6026924004", "externalId" : "6026924004", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "majorSkills" : "Recruiting operations, HR systems", "majorSkillsList" : [ "Recruiting operations", "HR systems" ], "coreResponsibilities" : "Manage recruiting operations, Oversee HR systems, Drive talent acquisition strategies, Enhance employee experience, Develop HR policies, Ensure compliance, Analyze HR data, Manage HR projects", "teamCollaboration" : "Cross-functional teams; Leadership stakeholders", "domainKnowledge" : "Recruiting best practices; HRIS systems; Talent acquisition", "domainList" : [ "recruiting-best-practices", "hris-systems", "talent-acquisition" ], "domainSpecificKnowledge" : [ "Recruiting best practices", "HRIS systems", "Talent acquisition" ], "qualificationsBasic" : "8+ years experience", "rawDescription" : "Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY The Senior Manager, Recruiting Ops and Systems will drive operational excellence, data maturity, and infrastructure scalability for our Talent Acquisition team. This leader will initially operate as a hands-on builder, owning reporting, analytics, systems optimization, and data governance while establishing the processes and infrastructure that will support future team expansion. This pivotal role is responsible for transforming raw recruiting data into strategic insights, architecting a robust internal knowledge base, and leading a high-performing coordination team. The ideal candidate is a curious, data-driven systems thinker and proactive doer who thrives on building from the ground up rather than purely managing existing environments. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Recruiting Data, Reporting, and Analytics Design, build, and maintain comprehensive, real-time recruiting dashboards and reports to track key performance indicators (KPIs) such as time-to-hire, quality-of-hire, pipeline health, and sourcing channel efficiency. Architect reporting solutions and data models from ambiguous or incomplete baseline business requirements, turning complex raw metrics into highly structured, clear data points. Analyze complex recruiting datasets to identify operational bottlenecks, predict hiring trends, and provide data-driven recommendations to talent leadership and business stakeholders. Audit and maintain data integrity within the Applicant Tracking System (ATS) and ancillary tools, establishing strict data governance policies and team compliance. Systems Infrastructure and Knowledge Management Lead the hands-on architecture, content creation, and continuous improvement of the recruiting team’s internal intranet/knowledge base, documenting workflows, tech stack configurations, KPI communication and team policies. Build and scale a centralized repository of enablement and training materials tailored specifically for hiring managers, interviewers, and interview panels to elevate company-wide interview capability. Manage vendor relationships and maximize the ROI of the recruiting technology stack, overseeing system integrations, routine updates, and internal tool adoption. Team Leadership and People Management Provide direct leadership, coaching, and professional development to coordinators and ops personnel, ensuring exceptional candidate experiences and seamless interview logistics. Strategic planning for future operations team growth, including the eventual headcount justification, onboarding, and management of an individual contributor (IC) Reporting Analyst. Establish performance standards, manage team capacity, and cultivate a collaborative, highly organized team culture. SKILLS AND REQUIREMENTS A true 'doer' and hands-on builder mentality; comfortable executing technical work from scratch rather than solely consuming or managing pre-existing reporting environments. Strong SQL proficiency (including writing complex queries, joins, aggregations, data validation, and structural troubleshooting). Advanced Power BI development capabilities, including robust hands-on experience with DAX and Power Query. Proven understanding of data modeling concepts and KPI frameworks built from ambiguous or evolving data landscapes. Familiarity or foundational exposure to cloud data warehouse environments (e.g., BigQuery, Snowflake, Redshift). Advanced proficiency with modern Applicant Tracking Systems (Greenhouse highly preferred) and data visualization ecosystems. Proven experience in architecting and maintaining centralized internal knowledge bases, intranets, or wikis (e.g., Confluence, Notion, SharePoint). Strong project management skills with a track record of successfully implementing scalable operational processes across a talent function. Exceptional communication and presentation skills, with a proven ability to translate complex technical or analytical concepts into actionable narratives for non-technical stakeholders. Natural leadership capability with a passion for mentoring, developing, and managing operational personnel or coordinator teams. EDUCATION and/or EXPERIENCE Bachelor’s degree (or equivalent) in Human Resources, Business Administration, Data Analytics, or related field At least 8 years of experience in talent acquisition operations, recruiting systems management, or recruiting data analytics At least 2 years of experience directly managing people, preferably within a recruiting or talent operations environment Proven track record of implementing and integrating new products within a recruiting tech stack while managing continuous change in a high-growth environment. PHYSICAL REQUIREMENTS Prolonged periods of sitting at a desk and working on a computer Must be able to lift 15 pounds at times Vision to read printed materials and a computer screen Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Manager, Recruiting Operations and Systems at Apptronik. Skills: Recruiting operations, HR systems. Manage recruiting operations. Oversee HR systems", "postedDate" : "2026-06-14T18:37:09.212", "createdAt" : "2026-06-14T18:37:09.212", "lastUpdated" : "2026-06-16T03:14:09.048", "ingestTimestamp" : "2026-06-14T18:37:09.212", "mongoId" : "6a2ca68b74d8ee00a09bc130", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Recruiting operations", "HR systems", "Talent management", "Employee relations", "HR processes", "Organizational development", "Recruiting best practices", "HRIS systems", "Talent acquisition" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : "6a2c6d0574d8ee00a091cc71", "title" : "Product Data Collection Specialist", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T13:30:59.027", "fingerprint" : "46e8f173cff12c4b62ebe7784b9412826af178044836519525ed78a4c7d78002", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4284817009", "externalId" : "4284817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Scripting", "Troubleshooting", "Debugging" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product testing, Data collection, Field operations", "majorSkillsList" : [ "Product testing", "Data collection", "Field operations" ], "coreResponsibilities" : "Conduct product testing, Collect data, Travel to customer sites, Evaluate system performance, Collect datasets, Validate datasets, Analyze datasets, Test new features, Test mobile applications, Test workflows, Investigate bugs, Investigate edge cases, Investigate unexpected behavior, Provide feedback to engineering, Perform basic scripting, Perform troubleshooting, Perform debugging, Improve testing processes, Document testing processes, Improve data collection processes, Document data collection processes, Assist with map edits, Assist with data quality reviews, Assist with operational support", "teamCollaboration" : "Engineering teams; Product teams; Operations teams", "domainKnowledge" : "Indoor environments; Retail industry; In-store inventory visibility", "domainList" : [ "indoor-environments", "retail-industry", "in-store-inventory-visibility" ], "domainSpecificKnowledge" : [ "Indoor environments", "Retail industry", "In-store inventory visibility" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document processes", "continuousLearning" : "Learning; Execution", "problemSolvingSkills" : "Problem-solving; Investigating problems; Troubleshooting; Debugging", "specialRequirements" : "Regular travel, Occasional regional travel, Travel to retail locations", "outcomesObjectives" : "Improve product accuracy; Improve product reliability; Increase quality; Increase consistency; Increase efficiency; Prioritize issues; Drive improvements", "qualificationsBasic" : "1+ years experience, Associate's or Bachelor's degree, Technical field degree, Equivalent practical experience", "qualificationsPreferred" : "Product testing experience, Field testing experience, QA experience, Beta testing experience, Experience collecting data, Experience validating data, Experience analyzing data, Retail experience, Customer support experience, Customer success experience, Field operations experience, Deployment roles experience, Python familiarity, SQL familiarity, Data analysis tools familiarity, Data pipelines support, Data quality monitoring support, Operational tooling support, Spanish language proficiency, Startup experience, Early-stage company experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for a Product Data Collection Specialist to join Cartesian at a pivotal moment in our growth. This is a hands-on, impact-driven role focused on product testing, field operations, and data collection. You will spend significant time in retail environments evaluating product performance, collecting and validating data, identifying issues, and helping ensure our technology performs reliably in real-world conditions. Success in this role requires curiosity, attention to detail, and a strong sense of ownership. You should enjoy investigating problems, working directly with customers and retail environments, and collaborating closely with engineering, product, and operations teams to improve both our product and our processes. Location: In-person in Kendall Square, Cambridge, with regular travel to retail stores throughout the Boston area and occasional regional travel. Salary: $65,000 - $80,000 annually What You’ll Do Conduct product testing and data collection in retail store environments Travel to customer sites to evaluate system performance under real-world conditions Collect, validate, and analyze datasets used to improve product accuracy and reliability Test new product features, mobile applications, and workflows before deployment Investigate bugs, edge cases, and unexpected behavior, providing detailed feedback to engineering teams Perform basic scripting, troubleshooting, and debugging to support testing activities Improve and document testing and data collection processes to increase quality, consistency, and efficiency Assist with map edits, data quality reviews, and operational support activities Collaborate closely with engineering, product, and operations teams to prioritize issues and drive improvements Become a product expert and help represent customer and field perspectives within the organization Qualifications 1+ years of experience in a technical, operational, support, research, testing, or related role Strong attention to detail and ability to execute rigorous, repeatable testing processes Experience running scripts and working with technical tools Basic Python programming or scripting experience Strong problem-solving skills and ability to work independently in ambiguous environments Excellent written and verbal communication skills Professional, customer-facing demeanor Ability and willingness to travel regularly to retail locations Reliable, accountable, and highly organized Associate's or Bachelor's degree in a technical field or equivalent practical experience Nice to Have Experience with product testing, field testing, QA, or beta testing Experience collecting, validating, or analyzing data Experience in retail, customer support, customer success, field operations, or deployment roles Familiarity with Python, SQL, or data analysis tools Experience supporting data pipelines, data quality monitoring, or operational tooling Spanish language proficiency Startup or early-stage company experience Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution Opportunity to become a product expert and grow into roles across operations, deployment, testing, and product In-person team culture in the heart of Kendall Square, Cambridge If You’re Not Sure You’re a Perfect Fit We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives. Interview Process Introductory conversation focused on motivation, background, and fit Technical exercise involving testing, analysis, and basic coding/problem-solving Follow-up technical discussion focused on reasoning, troubleshooting, and decision-making Final conversation with the hiring manager focused on ownership, communication, and culture fit References and offer", "summaryDescription" : "Product Data Collection Specialist at Cartesian Systems. Skills: Product testing, Data collection, Field operations. Conduct product testing. Collect data", "postedDate" : "2026-06-14T08:43:04.758", "createdAt" : "2026-06-14T08:43:04.758", "lastUpdated" : "2026-06-15T13:30:59.027", "ingestTimestamp" : "2026-06-14T08:43:04.758", "mongoId" : "6a2c6d0574d8ee00a091cc71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting", "Troubleshooting", "Debugging", "Product testing", "Data collection", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Indoor environments", "Retail industry", "In-store inventory visibility" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c8b74d8ee00a094db1b", "title" : "Workforce Management and Systems Intern", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 10000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level internship in Lisboa, Portugal, adjusted for the travel industry." }, "location" : "Lisboa, Lisboa, Portugal", "locations" : [ "Lisboa", "Lisboa", "Portugal" ], "timestamp" : "2026-06-16T01:30:20.095", "fingerprint" : "8787326c17ac5f0f5457dfbd272f7418f5ebf953832ce4a922974877f129d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/indiecampers-linkedin/jobs/8564453002", "externalId" : "8564453002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisboa", "state" : "Lisboa", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisboa, Lisboa, Portugal", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "qualificationsBasic" : "0-2 years in WFM, 0-2 years in operations, 0-2 years in analytics", "qualificationsPreferred" : "Exposure to contact centers, Exposure to BPO environments, Exposure to operational systems", "rawDescription" : "ABOUT US Indie Campers, the go-to campervan Marketplace, is on a mission of making road trips available to everyone. Thanks to its digital approach and customer-centric orientation, Indie Campers has developed a strong booking experience and high-quality road trips at affordable prices. With over one million nights rented through our travel platform, we have welcomed more than 300,000 travelers from 169 countries. We offer a comprehensive and expanding array of road trip possibilities: short-term RV rentals, long-term campervan subscriptions, and the possibility of buying one of our vehicles available for sale. Rooted in a deep technological focus, our challenges are both exciting and demanding and require top talent and motivation to be successfully pursued. We are growing our team and looking for those interested in pursuing this dream with us and joining an ever-developing journey. THE ROLE We are looking for a Workforce Management 0–2 years in WFM, operations, analytics, or similar roles. Exposure to contact centers, BPO environments, or operational systems is a plus. WHAT WE OFFER The opportunity to contribute to the scaling of a unique global company in a fast-growing market. Work with outstanding professionals from multiple nationalities and backgrounds in a dynamic scale-up environment. Competitive benefits including health insurance, travel and education vouchers, road trips in our campervans, and free snacks and coffee in the office.", "summaryDescription" : "Workforce Management and Systems Intern at Indie Campers", "postedDate" : "2026-06-14T19:19:43.140", "createdAt" : "2026-06-14T19:19:43.140", "lastUpdated" : "2026-06-16T01:30:20.095", "ingestTimestamp" : "2026-06-14T19:19:43.140", "mongoId" : "6a2c7c8b74d8ee00a094db1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "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" : "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" : "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" : "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" : "69fda4e54c40e2acd1b99a64", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:52.309", "fingerprint" : "96231c747d3ad883c5a260ef32d319463d913c5c38d376ce827e24a90888f24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "externalId" : "6df00c61-823c-44cc-a9a6-74b2121c30c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "MS Office, Scripting languages, Unix/Linux, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data collection procedure", "level" : "intermediate" }, { "name" : "Data recording", "level" : "intermediate" }, { "name" : "Information documentation", "level" : "intermediate" }, { "name" : "Data collection projects", "level" : "intermediate" }, { "name" : "Collection protocol changes", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data auditing, Data markup", "majorSkillsList" : [ "Data collection", "Data auditing", "Data markup" ], "coreResponsibilities" : "Learn collection procedure quickly, Execute collection procedure accurately, Record data, Document needed information, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Confluence", "JIRA", "Wiki" ], "documentationSkills" : "Information documentation", "innovationCreativity" : "Improvements in data collection projects", "problemSolvingSkills" : "Addressing issues and problems", "qualificationsBasic" : "Computer skills, Proficiency in MS Office, Moderating data collection, Conducting data collection, Data auditing, Data markup, Machine learning data processing needs, Experience with prototype assets, Experience in research, Experience with scripting languages, Unix/Linux environment, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing, Consumer electronic device readiness, Hardware testing experience, Software testing experience, Salesforce experience, JIRA experience, Agile/scrum workflow experience, Data collection evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders, Supporting quantitative research, Supporting qualitative research, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data auditing, Data markup. Learn collection procedure quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T12:05:13.166", "createdAt" : "2026-06-13T12:05:13.166", "lastUpdated" : "2026-06-15T05:29:52.309", "ingestTimestamp" : "2026-06-13T12:05:13.166", "mongoId" : "69fda4e54c40e2acd1b99a64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data collection", "Data auditing", "Data markup", "Machine learning data processing", "MS Office", "Confluence", "JIRA", "Wiki" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305649f292fd229cf26da9", "title" : "Senior Accounting Analyst, Finance Operations Accounting and Analysis", "company" : "Amazon", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 2108.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bratislava, Bratislavský kraj, SVK", "locations" : [ "Bratislava, Bratislavský kraj, SVK" ], "certifications" : [ "CPA", "Chartered Accountant", "Six Sigma" ], "timestamp" : "2026-06-16T08:43:25.018", "fingerprint" : "f8635b785adfe3a1d104d895bfa095674864914ffc236e330bd49fb3a6ad84a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449268/apply", "externalId" : "191503a3-4c24-4dbe-b444-3ec4ecbf63bb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bratislava", "state" : "Bratislavský kraj", "country" : "Slovakia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1516988,17.1093063" } ], "locationText" : "Bratislava, Bratislavský kraj, Slovakia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Financial accounting", "Management reporting", "Process development", "Data analysis" ], "hardSkillsList" : [ "Account reconciliation", "Month end closing", "Balance sheet reconciliation", "Reporting activities" ], "hardSkills" : [ { "name" : "Account reconciliation", "level" : "intermediate" }, { "name" : "Month end closing", "level" : "intermediate" }, { "name" : "Balance sheet reconciliation", "level" : "intermediate" }, { "name" : "Reporting activities", "level" : "intermediate" } ], "majorSkills" : "Accounting, Finance, Reporting, Process automation", "majorSkillsList" : [ "Accounting", "Finance", "Reporting", "Process automation" ], "coreResponsibilities" : "Prepare Journal entries, Prepare account reconciliation, Prepare management reporting, Support financial accounting, Support reporting systems, Support procedures, Manage audit response, Ensure compliance with SOX, Resolve issues from reconciliation, Escalate issues from reconciliation, Follow up action plans, Participate in projects, Lead projects, Analyze data for financial analysis, Analyze data for reporting, Promote systems development, Promote process development, Promote AI tools", "teamCollaboration" : "Finance Operation peers; Central accounting", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "SOX; Accounting reconciliation", "domainList" : [ "sox", "accounting-reconciliation" ], "domainSpecificKnowledge" : [ "SOX", "Accounting reconciliation" ], "toolProficiency" : [ "Oracle R12" ], "continuousLearning" : "Career development", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "4+ years of Accounting/Finance/Operations experience, Bachelor degree in accounting or finance, AI experience and delivered process automation, Ability to solve problems independently", "qualificationsPreferred" : "Significant project management experience, CPA or Chartered Accountant equivalent, Six Sigma certification, Experience of Oracle R12, Desire to learn and grow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "1. Prepare Journal entries, account reconciliation and management reporting for Amazon legal entities; 2. Support the Management in all aspects of financial accounting, reporting systems, procedures and policies; 3. On the audit front, the analysts will manage department’s response to internal and external audit requirements and will also ensure compliance with SOX and policy requirements; 4. Work with finance Operation peers / Central accounting to resolve and escalate issues noted from accounting reconciliation and follow up the action plan to ensure the issue is entirely fixed; 5. Participate/lead projects that contribute to the team's overall efficiency; 6. Analyze data provided by variant tools and systems for internally financial analysis, reporting and documentation; 7. Play an important role in promoting systems/process development and AI tools to ensure ongoing efficiency and control improvements; 8. Other ad hoc tasks assigned. Basic Qualifications: - Ability to solve problems independently in an ambiguous and fast paced environment - Relevant experience in Month end closing of Books of accounts / working on Balance sheet Reconciliation & Reporting activities/ Accounting Knowledge - Bachelor degree in accounting or finance or above - AI experience and delivered the process automation or simplification in production - Goal driven, result orientated, self-motivated, able to step back and look at the bigger picture - 4+ years of Accounting/Finance/Operations experience - Base pay for this position starts from EUR 2108+ gross per month and salary depends on the skills and requirements, there will be further pay components such as a sign on bonus and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Company benefits apply subject to further terms, including annual membership in medical clinic, life insurance, retirement pension, meal voucher card, career development. Preferred Qualifications: - Significant experience of project management & analysis within a fast paced multitasking driven - CPA or Chartered Accountant equivalent certificate is preferred. - Strong desire to learn and grow - Six Sigma certification. - Experience of Oracle R12 is preferred. Hands on experience on accounting & reconciliation process Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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" : "Senior Accounting Analyst, Finance Operations Accounting and Analysis at Amazon. Skills: Accounting, Finance, Reporting, Process automation. Prepare Journal entries. Prepare account reconciliation", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:57:41.813", "lastUpdated" : "2026-06-16T08:43:25.018", "ingestTimestamp" : "2026-06-15T21:57:41.813", "mongoId" : "6a305649f292fd229cf26da9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449268/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Account reconciliation", "Month end closing", "Balance sheet reconciliation", "Reporting activities", "Accounting", "Finance", "Reporting", "Process automation", "Financial accounting", "Management reporting", "Process development", "Data analysis", "Project management", "SOX", "Accounting reconciliation", "CPA", "Chartered Accountant", "Six Sigma", "Oracle R12" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c733974d8ee00a0932a03", "title" : "Business Intelligence and Systems Analyst", "company" : "EP Equipment", "industry" : "Manufacturing", "salary" : { "min" : 56000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence and Systems Analyst in the Logistics industry in Cologne, Germany, adjusted for company size and specific industry." }, "location" : "Köln, DE", "locations" : [ "Köln", "DE" ], "timestamp" : "2026-06-16T03:36:59.988", "fingerprint" : "2e8c0557ecb977177f462c9fee4d3a90654603cdfe828ee47c0ffb21b1d0563c", "source" : "personio", "language" : "en", "applyUrl" : "https://ep-equipment-europe.jobs.personio.de/job/2661120", "externalId" : "2661120", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Köln", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.9383610,6.9599740" } ], "locationText" : "Köln, Germany", "technicalSkills" : "Power BI, DAX, Power Query, SQL, HubSpot, Excel, VBA, Sage, SAP HANA", "professionalSkills" : [ "Data modelling", "Process documentation" ], "hardSkillsList" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement" ], "hardSkills" : [ { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Pipeline hygiene", "level" : "intermediate" }, { "name" : "Spreadsheet retirement", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analysis, Systems analysis", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Systems analysis" ], "coreResponsibilities" : "Pull data into Power BI, Build Power BI datasets, Reconcile data across systems, Ensure pipeline hygiene, Retire business spreadsheets, Map data flow", "teamCollaboration" : "Commercial teams; Finance teams; Country MDs; Finance directors", "domainKnowledge" : "Order to cash; After-sales service; Multi-entity operations", "domainList" : [ "order-to-cash", "after-sales-service", "multi-entity-operations" ], "domainSpecificKnowledge" : [ "Order to cash", "After-sales service", "Multi-entity operations" ], "toolProficiency" : [ "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "communicationSkills" : "Explain discrepancies", "documentationSkills" : "Process documentation; Map data flow", "continuousLearning" : "Grow with us", "problemSolvingSkills" : "Trace numbers to source; Explain discrepancies", "outcomesObjectives" : "Turn operations into trusted numbers; Make business flow legible in data; Ensure reporting tells same story", "qualificationsBasic" : "Power BI experience, Trace numbers to source, Understand business flow, Comfortable across CRM, ERP, BI, Fluent English, Power BI data modelling, Power BI DAX, Power BI Power Query, SQL query Sage, SQL query SAP HANA, HubSpot CRM data structure, HubSpot pipeline reporting, Excel proficiency, Power Query proficiency, Process documentation discipline, Map data flow", "qualificationsPreferred" : "VBA proficiency, BPMN proficiency", "workSiteFlexibility" : "Flexible", "rawDescription" : "Your responsibilities We are looking for someone who turns how EP Equipment runs into numbers people trust. EP Equipment is growing fast. Our commercial pipeline lives in HubSpot, our orders and finance run through Sage, and our stock and ledgers sit in SAP HANA. Your job is to pull them all together into Power BI dashboards that our country MDs and finance directors open every morning. When a number on the dashboard is questioned, you can trace it back to the order, the invoice, and the deal, and explain it. This is a flow-first role, not a tool-first one. We care that you understand how a dealer order becomes a delivered forklift, an invoiced job, and a serviced machine, and that you can make that flow legible in data: The reporting layer: Power BI datasets and dashboards that the commercial and finance teams run on. You are responsible for the model underneath them, not just the visuals on top. One number, one meaning: data reconciled across HubSpot, Sage and SAP HANA so the pipeline, the order book and the ledger tell the same story. CRM data quality in HubSpot: pipeline hygiene, properties and structure clean enough that the reporting on top of it can be trusted. Spreadsheet retirement: if a controller is keeping a workbook the business depends on, you replace it with a governed dashboard. What your team does Your profile You have built Power BI that people actually open every morning, not a deck of charts nobody returns to. You can trace a number from a dashboard back to the order, the invoice and the CRM deal, and explain a discrepancy without waiting for IT. You understand the business flow behind the data (order to cash, after-sales, multi-entity), not just the DAX. You are comfortable sitting across CRM, ERP and BI without needing to own any single one of them. Fluent in German; a good working level of English. On the technical side Power BI : data modelling, DAX and Power Query. You build the datasets, not just the charts. SQL: you can query Sage and SAP HANA sources yourself when a report does not add up. HubSpot: CRM data structure, properties and pipeline reporting. Direct experience preferred; strong CRM experience elsewhere works if you pick things up fast. Excel & Power Query, and ideally some VBA, for the workbooks the business still runs on today. Process documentation discipline: BPMN or equivalent. You can map the flow you are reporting on, not just describe it. Even if you are not yet confident in every area, we look forward to hearing from you if you are keen to grow with us. Why us? Modern working environment: Attractive location in Cologne-Mülheim, easily accessible by car and public transport. Start-up flair: A company that thinks innovatively and at the same time has a stable market position. You can grow with us. International team: Work in a multicultural team with colleagues from more than 14 countries. Career opportunities: Take on responsibility early and develop personally and professionally. Public transport, parking space for cars and bikes,drinks, parking, fruits, table football, table tennis. Get in contact with EP Send your CV and one paragraph on a report or dashboard you built that changed a decision: what was wrong or unclear before, what you built, and what the business measured after. Contact: recruiting@ep-equipment.eu", "summaryDescription" : "Business Intelligence and Systems Analyst at EP Equipment. Skills: Business intelligence, Data analysis, Systems analysis. Pull data into Power BI. Build Power BI datasets", "createdAt" : "2026-06-14T20:27:38.844", "lastUpdated" : "2026-06-16T03:36:59.988", "ingestTimestamp" : "2026-06-14T20:27:38.844", "mongoId" : "6a2c733974d8ee00a0932a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement", "Business intelligence", "Data analysis", "Systems analysis", "Data modelling", "Process documentation", "Order to cash", "After-sales service", "Multi-entity operations", "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "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" : "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. 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A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do The Procurement Systems and Processes Senior Specialist is responsible for the effective use, optimization, and support of Procurement IT systems that underpin procurement operations. This role serves as the main point of contact between the Procurement department and IT teams, ensuring that procurement processes are fully supported by technology and that system users are trained to maximize efficiency. The Senior Specailst plays a crucial role in implementing system improvements, troubleshooting issues, and acting as a liaison during system updates or changes. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Act as the subject matter expert (SME) for procurement IT systems, including ERP (e.g., SAP), eProcurement tools, and other digital platforms used in procurement processes. System Rollout, Maintenance & Optimization: Lead rollout and launch of Scout’s Procurement systems, working cross-functionally with Scout IT and Global Procurement colleagues. Establish system rollout schedule, budget, and define the necessary resources to meet requirements Ensure the smooth functioning of procurement systems by collaborating with IT to resolve any technical issues. Suggest and implement system improvements or new features to enhance procurement efficiency. Monitor system performance and coordinate upgrades or updates. User Support & Training: Provide first-level support to procurement team members and other system users for system-related issues or queries. Develop and deliver user training programs, documentation, and system and process manuals. Ensure that end-users are proficient in using procurement systems and follow best practices. Data Management & Reporting: Ensure data accuracy and integrity within procurement systems, including vendor information, purchase orders, contracts, and more. Generate and analyze reports from procurement systems to support decision-making and process improvements. Collaborate with procurement management to refine reporting tools and metrics. Process Improvement: Identify opportunities for process improvements within procurement workflows, ensuring alignment with system capabilities. Collaborate with cross-functional teams to streamline procurement operations and increase efficiency. Lead or participate in projects to implement new procurement tools or functionalities. Stakeholder Liaison: Act as a bridge between procurement, IT, and other departments to ensure system requirements are met and issues are communicated effectively. Participate in meetings with IT teams and external system vendors to discuss system needs, updates, and performance. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC or Novi, Michigan. This role requires 5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: Domestic and international travel required, approximately 10 % of the time. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: A Bachelor’s degree in in Supply Chain Management, Information Systems, Business Administration, or a related field is preferred 8+ years of experience in a manufacturing or automotive environment, preferably in a Project Management, IT Project Management or similar function Strong knowledge of procurement processes and systems (e.g., ERP systems, eProcurement) and prior experience in a procurement or IT support role Experience with SAP, Ivalua, Oracle, AI Tools is preferred Strong problem-solving skills and ability to troubleshoot system issues Excellent communication skills and ability to train and support end-users Ability to work cross-functionally and manage multiple stakeholders Analytical mindset with experience in generating and interpreting procurement reports Personal Qualities & Abilities High integrity and professionalism Able to effectively collaborate in a team setting with other functions/departments Business and performance driven Ability to adapt in an ambiguous and fact-paced environment Strong planning and analytical skills Strategic thinking & understanding Positive mindset Proactivity and the ability to work across multiple workstreams A passion for creating something new       Ability to find creative solutions to complex problems Ability to communicate effectively across all levels of an organization What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $110,000.00 - $135,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Senior Specialist, Procurement Systems and Processes at Scout Motors. Manage procurement systems. Improve procurement processes", "postedDate" : "2026-06-14T20:09:33.408", "createdAt" : "2026-06-14T20:09:33.408", "lastUpdated" : "2026-06-15T21:51:07.410", "ingestTimestamp" : "2026-06-14T20:09:33.408", "mongoId" : "6a2ca59174d8ee00a09b7233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project management", "Procurement systems", "Procurement processes" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d93434b", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:58:29.389", "fingerprint" : "df2500f8314dde7ba09825a58565b96cc2620501e597eef78ac99626ee988721", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381246/apply", "externalId" : "d2f1069a-f16a-4d8f-83c9-0f79c03f8361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix, Linux", "professionalSkills" : [ "Data collection", "Data processing" ], "hardSkillsList" : [ "Data collection", "Data processing" ], "softSkillsList" : [ "Team work" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Fast-paced team environment; Highly collaborative environment; Dynamic work environment; Great team work", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "specialRequirements" : "Reliable transportation", "qualificationsBasic" : "Experience working in a fast-paced, team environment, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Comfortable working in a fast paced, highly collaborative, dynamic work environment, Practical knowledge of machine learning data processing needs and trade-offs, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Unix/Linux environment experience, A good sense of humor, A positive attitude, Great team work skills, Experience using MS Office, Excel experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience, Knowledge of Microsoft Office products and applications, Reliable transportation", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Confluence, Quip experience, Jira experience, Salesforce experience, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience working in a fast-paced, team environment - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T05:54:27.865", "createdAt" : "2026-06-13T05:54:27.865", "lastUpdated" : "2026-06-15T01:58:29.389", "ingestTimestamp" : "2026-06-13T05:54:27.865", "mongoId" : "69cf3f092beec4dd3d93434b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381246/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data processing", "Team work", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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. Implement backend systems", "createdAt" : "2026-06-14T20:21:52.028", "lastUpdated" : "2026-06-16T01:43:36.688", "ingestTimestamp" : "2026-06-14T20:21:52.028", "mongoId" : "6a2cb0de74d8ee00a09db551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Platform engineering", "Backend infrastructure", "Data platform", "AI systems", "Infrastructure", "Backend system design", "API design", "Data modeling", "System design", "Fintech", "Regulated systems", "Terraform", "AWS", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "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" : "6a3067a5f292fd229cfc00f0", "title" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC))", "company" : "ASM America Inc.", "salary" : { "min" : 190000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Principal Engineer, Systems Engineering in Phoenix, United States, with adjustments for lead seniority, senior experience level, and the technology industry." }, "location" : "AZ Phoenix (ASM America Inc.)", "locations" : [ "AZ Phoenix (ASM America Inc.)" ], "timestamp" : "2026-06-16T09:16:50.419", "fingerprint" : "29ad0b064cee61975c61880e214598e1ba6eb74cc79487b1bb4b852c333e9037", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.asm.com/open-vacancies/?gh_jid=4857016101", "externalId" : "4857016101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.  But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Reporting to the Expert System Engineering Manager, the Principal Engineer for Electrostatic Chuck (ESC) is accountable for the design, and delivery of hardware engineering solutions focused on ESC and heaters technology. The Engineer will be responsible for focusing on the development of highly innovative technologies over legacy solutions. Key Responsibilities Lead the design and development of ESC and heaters hardware platforms and modules. Ensure timely delivery of new components and modules designs including safety, specifications, conceptual configuration, detailed design, factory release, configuration control, and documentation. Support customer-specific designs and product cost reduction initiatives. Drive new technology exploration and development of new processes. Establish budgets and measurable performance indicators for the program/ project Manage engineering projects to meet deliverables, quality, budget, and timing. Foster a collaborative and engaging environment across departments and suppliers. Collaborate with universities, research institutes, and engineering firms for breakthrough technological solutions. Motivated to drive innovation through R&D and create patents. Required Qualifications Master’s degree or PhD in Mechanical or Electrical Engineering. Experience in hardware engineering including semiconductor processing. Expertise in material science including AlN, Al2O3, SiC, and C22 alloys. Understanding of failure modes and process performance behavior. Knowledge of clamping mechanisms and thermal engineering. Experience in vacuum and plasma physics. Proficiency in mechanical design and manufacturing processes. Demonstrated system thinking capabilities. Preferred Skills and Experience Proven ability to create performing components and modules Track record of delivering engineering solutions in multicultural and dynamic environments. Advance thinking and long-term planning. Effective communication across diverse audiences. Team building and networking capabilities. Experience in global organizations. Hands-on R&D experience and familiarity with fab equipment. Supplier management includes communication, negotiation, strategic planning, and problem solving. Innovation mindset Apply today to be part of what’s next. We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect. To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube. ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.", "summaryDescription" : "Principal Engineer, Systems Engineering (Systems and Mechanical Engineering – Electrostatic Chuck (ESC)) at ASM America Inc.", "postedDate" : "2026-06-15T23:29:02.200", "createdAt" : "2026-06-15T23:29:02.200", "lastUpdated" : "2026-06-16T09:16:50.419", "ingestTimestamp" : "2026-06-15T23:29:02.200", "mongoId" : "6a3067a5f292fd229cfc00f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a6d9bc74574cbbb3764", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:43:25.429", "fingerprint" : "fb262e47f702be0e0f2114333024c42a788943bd46366f372d93a67f47dc7938", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194786/apply", "externalId" : "6cb58604-4a39-4548-a15f-6c7ac23accb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Identify issues; Address issues; Address problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T04:30:11.798", "createdAt" : "2026-06-13T04:30:11.798", "lastUpdated" : "2026-06-15T03:43:25.429", "ingestTimestamp" : "2026-06-13T04:30:11.798", "mongoId" : "69c94a6d9bc74574cbbb3764", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194786/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data annotation", "Data labeling", "Linguistic annotation", "Data markup", "Natural language data labeling", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : "6a2ca59174d8ee00a09b7258", "title" : "Specialist, Procurement Systems and Processes", "company" : "Scout Motors", "industry" : "Manufacturing", "salary" : { "min" : 90000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC" ], "timestamp" : "2026-06-15T08:55:30.709", "fingerprint" : "a0500f2cb5f4797ae2cc0e750a9c0f9141ea7497a5714d8ce46f7f66f8cb4837", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5160758007", "externalId" : "5160758007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAP, ERP", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "System optimization", "User training", "Data accuracy", "Data integrity", "Reporting tools", "Process improvement" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "System optimization", "level" : "intermediate" }, { "name" : "User training", "level" : "intermediate" }, { "name" : "Data accuracy", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Procurement systems, Procurement processes, IT systems support", "majorSkillsList" : [ "Procurement systems", "Procurement processes", "IT systems support" ], "coreResponsibilities" : "Act as subject matter expert, Lead system rollout, Establish system rollout schedule, Define necessary resources, Ensure smooth functioning, Collaborate with IT, Resolve technical issues, Suggest system improvements, Implement new features, Enhance procurement efficiency, Monitor system performance, Coordinate upgrades, Provide first-level support, Develop user training programs, Deliver user training, Create system manuals, Create process manuals, Ensure data accuracy, Ensure data integrity, Generate reports, Analyze reports, Support decision-making, Support process improvements, Refine reporting tools, Refine metrics, Identify process improvements, Ensure alignment with systems, Streamline procurement operations, Increase efficiency, Lead projects, Participate in projects, Implement new tools, Implement new functionalities, Act as bridge, Ensure system requirements met, Communicate issues effectively, Participate in meetings, Discuss system needs, Discuss system updates, Discuss system performance", "teamCollaboration" : "Cross-functional teams; Procurement and IT; Procurement and other departments; Meetings with IT teams; Meetings with vendors", "projectManagementSkills" : [ "System improvements", "System updates", "New procurement tools" ], "domainKnowledge" : "Procurement operations; Procurement IT systems; Electric pick-up trucks; Rugged SUVs", "domainList" : [ "procurement-operations", "procurement-it-systems", "electric-pick-up-trucks", "rugged-suvs" ], "domainSpecificKnowledge" : [ "Procurement operations", "Procurement IT systems", "Electric pick-up trucks", "Rugged SUVs" ], "toolProficiency" : [ "SAP", "ERP" ], "documentationSkills" : "User training programs; System manuals; Process manuals", "innovationCreativity" : "System improvements; New features", "problemSolvingSkills" : "Troubleshooting issues; Resolve technical issues", "specialRequirements" : "5 days per week in office, 10% travel", "outcomesObjectives" : "Maximize system efficiency; Enhance procurement efficiency; Support decision-making; Support process improvements; Streamline procurement operations; Increase efficiency", "qualificationsBasic" : "5 days per week in office, Valid driver's license", "qualificationsPreferred" : "Experience generating procurement reports, Experience interpreting procurement reports", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! About the team The Procurement Systems and Processes Specialist is responsible for the effective use, optimization, and support of Procurement IT systems that underpin procurement operations. This role serves as the main point of contact between the Procurement department and IT teams, ensuring that procurement processes are fully supported by technology and that system users are trained to maximize efficiency. The Senior Specailst plays a crucial role in implementing system improvements, troubleshooting issues, and acting as a liaison during system updates or changes. What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Act as the subject matter expert (SME) for procurement IT systems, including ERP (e.g., SAP), eProcurement tools, and other digital platforms used in procurement processes. System Rollout, Maintenance & Optimization: Lead rollout and launch of Scout’s Procurement systems, working cross-functionally with Scout IT and Global Procurement colleagues. Establish system rollout schedule, budget, and define the necessary resources to meet requirements Ensure the smooth functioning of procurement systems by collaborating with IT to resolve any technical issues. Suggest and implement system improvements or new features to enhance procurement efficiency. Monitor system performance and coordinate upgrades or updates. User Support & Training: Provide first-level support to procurement team members and other system users for system-related issues or queries. Develop and deliver user training programs, documentation, and system and process manuals. Ensure that end-users are proficient in using procurement systems and follow best practices. Data Management & Reporting: Ensure data accuracy and integrity within procurement systems, including vendor information, purchase orders, contracts, and more. Generate and analyze reports from procurement systems to support decision-making and process improvements. Collaborate with procurement management to refine reporting tools and metrics. Process Improvement: Identify opportunities for process improvements within procurement workflows, ensuring alignment with system capabilities. Collaborate with cross-functional teams to streamline procurement operations and increase efficiency. Lead or participate in projects to implement new procurement tools or functionalities. Stakeholder Liaison: Act as a bridge between procurement, IT, and other departments to ensure system requirements are met and issues are communicated effectively. Participate in meetings with IT teams and external system vendors to discuss system needs, updates, and performance. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC or Novi, Michigan. This role requires 5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: Domestic and international travel required, approximately 10 % of the time. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Personal Qualities & Abilities: High integrity and professionalism Able to effectively collaborate in a team setting with other functions/departments Business and performance driven Ability to adapt in an ambiguous and fact-paced environment Strong planning and analytical skills Strategic thinking & understanding Positive mindset Proactivity and the ability to work across multiple workstreams A passion for creating something new       Ability to find creative solutions to complex problems Ability to communicate effectively across all levels of an organization Minimum requirements: A Bachelor’s degree in in Supply Chain Management, Information Systems, Business Administration, or a related field is preferred 4+ years of experience in a manufacturing or automotive environment, preferably in a Project Management, IT Project Management or similar function Strong knowledge of procurement processes and systems (e.g., ERP systems, eProcurement) and prior experience in a procurement or IT support role Experience with SAP, Ivalua, Oracle, AI Tools is preferred Strong problem-solving skills and ability to troubleshoot system issues Excellent communication skills and ability to train and support end-users Ability to work cross-functionally and manage multiple stakeholders Analytical mindset with experience in generating and interpreting procurement reports What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $90,000.00 - $115,000.00 Internal leveling code: IC9 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Specialist, Procurement Systems and Processes at Scout Motors. Skills: Procurement systems, Procurement processes, IT systems support. Act as subject matter expert. Lead system rollout", "postedDate" : "2026-06-14T03:46:44.862", "createdAt" : "2026-06-14T03:46:44.862", "lastUpdated" : "2026-06-15T08:55:30.709", "ingestTimestamp" : "2026-06-14T03:46:44.862", "mongoId" : "6a2ca59174d8ee00a09b7258", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "System optimization", "User training", "Data accuracy", "Data integrity", "Reporting tools", "Process improvement", "Leadership", "Critical thinking", "Procurement systems", "Procurement processes", "IT systems support", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "System improvements", "System updates", "New procurement tools", "Procurement operations", "Procurement IT systems", "Electric pick-up trucks", "Rugged SUVs", "SAP", "ERP" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e54c40e2acd1b99a61", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:45:30.956", "fingerprint" : "4887c84c75422dbce6c0cc503e1c3fc730dee584928ecc8bacb2ef0ed257dd36", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412515/apply", "externalId" : "7be0599e-57ce-48bc-9659-b699bb44101f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix/Linux, Mac OS", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Quantitative data analysis" ], "softSkillsList" : [ "Team work skills" ], "hardSkills" : [ { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work skills" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn data collection procedure, Execute data collection procedure, Record data, Document information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "projectManagementSkills" : [ "Agile/scrum workflow" ], "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues and problems", "outcomesObjectives" : "Drive impact", "qualificationsBasic" : "Proficiency in MS Office, Data collection experience, Data auditing experience, Data markup experience, Scripting languages experience, Unix/Linux environment experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing experience, Hardware and software testing experience, Salesforce experience, Agile/scrum workflow experience, Data collection and evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders experience, Quantitative consumer research experience, Qualitative consumer research experience, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn data collection procedure. Execute data collection procedure", "postedDate" : "2026-06-13T04:02:37.826", "createdAt" : "2026-06-13T04:02:37.826", "lastUpdated" : "2026-06-15T01:45:30.956", "ingestTimestamp" : "2026-06-13T04:02:37.826", "mongoId" : "69fda4e54c40e2acd1b99a61", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412515/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quantitative data analysis", "Team work skills", "Data collection", "Data auditing", "Data markup", "Agile/scrum workflow", "Machine learning data processing", "MS Office", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4962beec4dd3d93198f", "title" : "ServiceNow Administrator, Kuiper Devices and Systems", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Operations, IT, Support Engineering, IT Application Engineering, alexa and amazon devices", "salary" : { "min" : 115800.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "Lean Six Sigma certification" ], "timestamp" : "2026-06-16T02:56:43.082", "fingerprint" : "348a63c090ab59252f87260267e050d3c4c523c6e0758cba3ec867eb2982d0e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385031/apply", "externalId" : "0bb5ba4a-5191-4b0f-a6a9-a2a42611eede", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Process improvement, Supply chain management, Quality management, ERP systems, SAP", "professionalSkills" : [ "Operations management", "Process optimization", "Project management" ], "hardSkillsList" : [ "Process analysis", "Supply chain optimization", "Quality control", "Data analysis" ], "hardSkills" : [ { "name" : "Process analysis", "level" : "intermediate" }, { "name" : "Supply chain optimization", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Manufacturing operations, Process improvement, Supply chain", "majorSkillsList" : [ "Manufacturing operations", "Process improvement", "Supply chain" ], "coreResponsibilities" : "Oversee daily manufacturing operations, Implement process improvements, Manage supply chain activities, Ensure quality standards are met, Collaborate with cross-functional teams, Develop and manage operational budgets, Identify and resolve operational issues, Drive continuous improvement initiatives", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Process improvement projects" ], "domainKnowledge" : "Manufacturing processes; Supply chain logistics; Quality management systems; Lean manufacturing principles", "domainList" : [ "manufacturing-processes", "supply-chain-logistics", "quality-management-systems", "lean-manufacturing-principles" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Supply chain logistics", "Quality management systems", "Lean manufacturing principles" ], "toolProficiency" : [ "SAP", "ERP systems" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting operational issues", "outcomesObjectives" : "Improve operational efficiency; Reduce manufacturing costs; Enhance product quality; Optimize supply chain performance", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in manufacturing operations, Experience with process improvement methodologies, Experience with supply chain management", "qualificationsPreferred" : "Master's degree in a relevant field, Experience with Lean Six Sigma, Experience with SAP or similar ERP systems, Experience with quality management systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed. Leo Devices & Systems team is looking for an experienced ServiceNow Application Development Engineer to join our team. This role will be responsible for the configuration, development, and ongoing maintenance of the ServiceNow platform, ensuring that it meets the needs of our business while delivering a smooth, high-quality user experience. As the ServiceNow Administrator, you’ll manage and configure modules, implement workflows, and provide technical support, playing a key role in driving process automation and enhancing service delivery across the organization. Key job responsibilities * Architecture - Knowledgeable of ServiceNow’s core capabilities, extensibility, and best practices when designing solutions for business customers. * Administration – Upgrading, configuring, and maintaining ServiceNow’s core, modules, workflows, and integrations with minimal disruption to business customers. * Support - Troubleshoot and resolve user and service issues along with optimizing performance of ServiceNow, integrations, and customization. Oncall required. * Customizing - Create and modify forms, fields, tables, and UI elements using JavaScript, Glide API, and ServiceNow scripting to meet business requirements. * Workflow and Integrations - Build and maintain 1st and 3rd party integrations with external systems using REST/SOAP APIs, and MID Servers,. * Reporting and Analytics - Create and maintain dashboards, reports, and data analytics tools to improve decision-making and service delivery. * Reporting & Analytics – Create dashboards, reports, and data analytics tools to improve decision-making and service delivery. * Train and Mentor - Train and mentor team members and other services support adjacent teams on ServiceNow practices. A day in the life Leo Devices & Systems Infrastructure is looking for experienced and dedicated team members to help manage the administration, maintenance, and development of the ServiceNow platform for the organization. The ideal candidate is innovative and has great problem-solving skills. You must be very comfortable working on core application administration, creating workflows, data management, scripting and process automation. You will need to work with non-technical and technical teams to translate business cases to scalable solutions for multiple teams. About the team Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Basic Qualifications: - Bachelor's degree in Computer Science, Software Engineering, MIS, or a related field - Certified ServiceNow Administrator (CSA) or Certified Application Developer (CAD). - 3+ years direct experience working with customers to understand requirements and implementing information technology solutions. - 3+ years of direct experience with the ServiceNow platform as a administrator, developer and/or comparable role. - 3+ years experience customizing ServiceNow visual interfaces with HTML, CSS, and Javascript. - 3+ years with IT service management and user support. - 1+ years experience developing applications for ServiceNow. - 1+ years with scripting automation for administration, configuration, and data processing using Python, Javascript, Shell, or other contemporary scripting runtimes. - 1+ years extending ServiceNow functionality through contemporary integration with resources such as RESTful or SOAP APIs. Preferred Qualifications: - Experience working in an Agile or Scrum environment - Certified Implementation Specialist - IT Service Management, - Service Mapping, - Discovery, and/or - Risk and Compliance. - Proven experience with common Agile methodologies such as Scrum, Kanban, or SAFe. - Experience customizing or developing reports from data residing in relational databases. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 115,800.00 - 160,000.00 USD annually USA, WA, Bellevue - 115,800.00 - 160,000.00 USD annually", "summaryDescription" : "ServiceNow Administrator, Kuiper Devices and Systems at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Manufacturing operations, Process improvement, Supply chain. Oversee daily manufacturing operations. Implement process improvements", "postedDate" : "2026-06-14T20:06:54.199", "createdAt" : "2026-06-14T20:06:54.199", "lastUpdated" : "2026-06-16T02:56:43.082", "ingestTimestamp" : "2026-06-14T20:06:54.199", "mongoId" : "69d5e4962beec4dd3d93198f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385031/apply", "salaryAnnualMin" : 115800, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Process analysis", "Supply chain optimization", "Quality control", "Data analysis", "Manufacturing operations", "Process improvement", "Supply chain", "Operations management", "Process optimization", "Project management", "Process improvement projects", "Manufacturing processes", "Supply chain logistics", "Quality management systems", "Lean manufacturing principles", "Lean Six Sigma certification", "SAP", "ERP systems" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-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" : "69c94a6d9bc74574cbbb376c", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T00:04:16.939", "fingerprint" : "6edc2192ebb3a706cfc9832344c2d03f1a68aeb11c74e72e5748e11009f454e0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194783/apply", "externalId" : "3fa0d337-f5ac-45c2-93bd-f67344cfa3ff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Interpersonal skills", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:24:00.108", "createdAt" : "2026-06-13T02:24:00.108", "lastUpdated" : "2026-06-15T00:04:16.939", "ingestTimestamp" : "2026-06-13T02:24:00.108", "mongoId" : "69c94a6d9bc74574cbbb376c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194783/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data annotation", "Data labeling", "Linguistic annotation", "Data markup", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3765", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:37:09.708", "fingerprint" : "63871b582f22e1b394131df9c21974dc7ad34068876fa4337fbbb609fb528faa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194798/apply", "externalId" : "eead4785-328b-4204-a345-c03136e2bbff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Scripting languages, Unix, Linux, MS Office, Excel, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "hardSkillsList" : [ "Data collection", "Data markup", "Data processing" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Data annotation experience, Linguistic annotation experience, Data markup experience, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Practical knowledge of machine learning data processing needs, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Unix/Linux environment experience, Great team work skills, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Quip, Experience using Salesforce, End-to-end data collections experience, Recruiting experience, Moderation experience, Reporting experience, Moderating a 1:1 session independently, Moderating sessions with users of different age and demographics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:21:05.827", "createdAt" : "2026-06-13T02:21:05.827", "lastUpdated" : "2026-06-15T01:37:09.708", "ingestTimestamp" : "2026-06-13T02:21:05.827", "mongoId" : "69c94a6d9bc74574cbbb3765", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194798/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data markup", "Data processing", "Data annotation", "Data labeling", "Linguistic annotation", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : "69c94a6d9bc74574cbbb3762", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:23:35.587", "fingerprint" : "74fbaa0b66723e19cbffcab560ec44e423b52a58d02315d65115cb64f8163525", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194789/apply", "externalId" : "76366312-841f-4f2c-8ce0-f15f8ddb2a0f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix, Linux, MS Office, Excel", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Data collection", "Quantitative analysis", "Statistics" ], "hardSkillsList" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing; Behavioral data collection; Quantitative data analysis; Agile/scrum workflow", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing", "behavioral-data-collection", "quantitative-data-analysis", "agile-scrum-workflow" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience with behavioral data collection, Experience with quantitative data analysis, Experience with statistics, Experience with Salesforce, Experience with JIRA, Experience in agile/scrum, Experience in related collaborative workflow, Experience in data collection and evaluation, Experience in providing peer-to-peer feedback, Experience working with multiple groups of stakeholders, Experience in supporting quantitative and qualitative consumer research", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, quantitative data analysis, and statistics - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:00:28.863", "createdAt" : "2026-06-13T02:00:28.863", "lastUpdated" : "2026-06-15T01:23:35.587", "ingestTimestamp" : "2026-06-13T02:00:28.863", "mongoId" : "69c94a6d9bc74574cbbb3762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194789/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data annotation", "Data labeling", "Linguistic annotation", "Natural language data labeling", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308d16f292fd229c09ef88", "title" : "Senior Collection Specialist", "company" : "IFS", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Collection Specialist in Riyadh, Saudi Arabia, adjusted for the financial services industry and senior experience level." }, "location" : "Riyadh, Riyadh Region, SA", "locations" : [ "Riyadh", "Riyadh Region", "SA" ], "timestamp" : "2026-06-16T13:14:24.482", "fingerprint" : "c080b56cc33c98abaa7f19cf80628a070e017375dea2daca63af58771beb158f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132191059-senior-collection-specialist", "externalId" : "744000132191059", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "state" : "Riyadh Region", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Riyadh Region, Saudi Arabia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Microsoft Office Suite", "professionalSkills" : [ "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving" ], "hardSkillsList" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis" ], "hardSkills" : [ { "name" : "Collection techniques", "level" : "intermediate" }, { "name" : "Collection strategies", "level" : "intermediate" }, { "name" : "Collection best practices", "level" : "intermediate" }, { "name" : "Accounts receivable management", "level" : "intermediate" }, { "name" : "Financial data analysis", "level" : "intermediate" } ], "majorSkills" : "Accounts receivable, Collections, Client relationships", "majorSkillsList" : [ "Accounts receivable", "Collections", "Client relationships" ], "coreResponsibilities" : "Manage collection of outstanding accounts receivable, Oversee collection of outstanding accounts receivable, Ensure timely recovery of funds, Develop collection strategies, Implement collection strategies, Refine collection strategies, Improve recovery rates, Minimize bad debt, Communicate professionally with clients, Analyze aging reports, Analyze payment patterns, Analyze account data, Identify trends, Identify opportunities for improvement, Negotiate payment arrangements, Negotiate settlements, Negotiate alternative payment solutions, Maintain accurate records, Maintain organized records, Monitor collection metrics, Monitor key performance indicators, Monitor departmental performance, Report on collection metrics, Report on key performance indicators, Report on departmental performance, Escalate collection cases to management, Ensure collection activities comply with laws, Ensure collection activities comply with regulations, Ensure collection activities comply with company policies, Prepare collection reports, Provide recommendations for process improvements, Collaborate with other departments, Resolve billing disputes, Resolve account discrepancies", "teamCollaboration" : "Collaborate with other departments", "domainKnowledge" : "Collection laws; 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In this role, you will take ownership of our accounts receivable portfolio, developing and executing effective collection strategies to maximize recovery rates while maintaining professional client relationships. You will analyze financial data, manage complex collection cases, and ensure compliance with all applicable regulations. The ideal candidate will demonstrate strong analytical abilities, exceptional organizational skills, and a commitment to achieving collection targets through persistent and professional engagement. * Manage and oversee the collection of outstanding accounts receivable, ensuring timely recovery of funds * Develop, implement, and refine collection strategies to improve recovery rates and minimize bad debt * Communicate professionally with clients regarding payment obligations, payment terms, and collection actions * Analyze aging reports, payment patterns, and account data to identify trends and opportunities for improvement * Negotiate payment arrangements, settlements, and alternative payment solutions with clients * Maintain accurate and organized records of all collection activities, communications, and outcomes * Monitor and report on collection metrics, key performance indicators (KPIs), and departmental performance * Escalate complex or high-value collection cases to management when necessary * Ensure all collection activities comply with relevant laws, regulations, and company policies * Prepare detailed collection reports and provide recommendations for process improvements * Collaborate with other departments to resolve billing disputes and account discrepancies ## Qualifications * Minimum 5 years of professional experience in collections, accounts receivable, or related financial roles * Proven track record of successfully managing and collecting outstanding accounts * Strong knowledge of collection techniques, strategies, and best practices * Excellent communication and negotiation skills with the ability to handle difficult conversations professionally * Advanced proficiency in data analysis and financial reporting * Proficiency with accounts receivable software, collection management systems, and Microsoft Office Suite * Comprehensive understanding of collection laws, regulations, and compliance requirements * Exceptional attention to detail and organizational skills * Strong time management abilities with capacity to manage multiple accounts simultaneously * Demonstrated problem-solving skills and ability to work independently * Preferred: Experience with customer relationship management (CRM) systems * Preferred: Bilingual capabilities in Arabic and English * Preferred: Leadership or supervisory experience in a collections environment", "summaryDescription" : "Senior Collection Specialist at IFS. 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"Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308ecbf292fd229c0a5503", "title" : "HO Avionics-Airframe Systems and Airworthiness-Technical Library Cell", "company" : "Airbus India Private Limited", "industry" : "Manufacturing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Avionics-Airframe Systems and Airworthiness Manager in the Aerospace industry in India, adjusted for seniority and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T13:50:15.394", "fingerprint" : "0094253141a27e8d3c35e44b209b0e9169481e9575131c6029fb00c22ea1eb91", "source" : "workday", "language" : "en", "applyUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Bangalore-Area/HO-Avionics-Airframe-Systems-and-Airworthiness-Technical-Library-Cell_JR10419969-1", "externalId" : "JR10419969", "industryFunction" : { }, "locationPoint" : 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FHS-FTM, On-time, on-cost, on-quality delivery", "qualificationsPreferred" : "Awareness of compliance risks, Commitment to act with integrity", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "****Job Description:**** ## ****Identification**** **Job title :**HO Avionics-Airframe Systems and Airworthiness-Technical Library Cell**** ## ****Accountabilities**** **The Jobholder is responsible for the oversight, delivery and performance of the Avionics and Airframe Systems and Airworthiness-Technical Library Cell activities provided to Airbus FTM Contracts, Airbus Flight Hour Services (FHS) - Tailored Support Package (TSP) and FHS Components (C) contracts.** **In this function, the job holder is responsible for the overall organisation and management of activities and team under his/her perimeter and be responsible for maintaining the fleet under supervision to the highest Operational Reliability, in line with applicable airworthiness requirements such as EASA & NAA and in accordance with Airbus Technical Standards and FHS Financial interests.** **Ensure on-time, on-cost, on-quality delivery of engineering deliverables to ensure delivery of FHS-C & FHS-TSP/FTM contracts as per workshare aligned with other FTM-CT teams, Airline Engineering teams (located in TLS) and TSP/FTM Engineering teams (at customer sites) ** **.** ## ****Dimensions**** * **Subordinate employees (FTE headcount): 15 + employees** * **Fleet coverage** * **all customers subscribing to Flight Hours Services, Components scope** * **all customers, with focus per tail, subscribing to Flight Hours Services-Fleet technical management** ## ****Main activities**** **As a member of Airline Engineering management team, the job holder has accountability, with his/her peers and his/her manager, as a team to:** * **Support on site Teams with initiatives and measures to maintain and enhance external customer satisfaction in-line with global Airline Engineering priorities and objectives** * **Establish and optimize integrated workshare frameworks across FTM-CT, Toulouse-based Airline Engineering, and on-site Customer TSP Engineering teams to align deliverables and achieve shared objectives** * **Oversee supplier deliverable management, ensuring seamless integration with internal engineering workflows** * **Put in place and run, a department operating model allowing control of business activities (performance, risk…) and associated resources** * **Foster the development and implementation of standardized processes, methods and tools, in coordination with the CAM Plateau, to improve efficiency and quality of activities performed** * **Represent Airline Engineering in front of Customer as and when deemed necessary** * **Support FHS-TSP/FTM & FHS-C sales campaigns when necessary** **The jobholder is responsible for the organization and management of team(s)** **reporting operationally to him/her, which consists in:** * **Organization and staffing of team as per business requirement,** * **Translating the Airbus FHS and Airline Engineering Domain strategy into clear activities for his/her team,** * **Ensuring his/her team objectives are defined and manage individual performance of his/her team members,** * **Engaging and develop his/her team & managing team skills, competences & knowledge, supporting mobility** * **Anticipate succession planning,** * **Managing integration of remote staff (as and when applicable),** * **Managing budget, AOP, Risks and Opportunities in coordination with HO FTM Engineering and FHS Programs interfaces,** * **Promote employee & team well being and ensure a work organization compliant to time management** **With the integrated support and contribution of Airline Engineering teams,** **the jobholder and his/her teams are responsible to deliver the following activities** **as per the workshare defined between engineering functions,** * **Ensure accurate control of Avionics and Airframe Systems Modifications and effect on configuration,** * **Ensure efficient & cost beneficial technical publications & reliability analysis for Avionics and Airframe Systems ** * **Ensure highest degree of engineering deliverables for all Avionics and Airframe Systems activities. This includes providing engineering assistance to region on-site team on technical issues, maintenance activities related to repair and overhaul, performance review, management of landing gear induction into fleet,** * **Support the development and implementation of standardized processes, methodologies, and tools to drive operational efficiency and elevate output quality** * **Follow/improve component and aircraft reliability & availability by;** * **Performing necessary reports and actions as per RCP to meet Airworthiness Authority requirements,** * **Support Airline Engineering teams in identifying and performing reliability analysis to reduce costs related to components,,** * **Support local engineering teams which focuses to proactively improve A/C performance and reduce Customer costs,** * **Drive anticipated identification and improvement of FHS top critical technical issues,** * **Capitalise the use of FHS powered by skywise world wide fleet experience, to help address the airline 's technical and operational issues thereby improving fleet performance & reliability in a cost effective approach.** * **Airworthiness-Technical Library Cell** * **Manage Tech Librarian role to ensure monitoring of collection and distribution of publications** * **Manage A/C AD-SB status / Component VSB applicability and status, as necessary** * **Support Airworthiness review process for FHS-TSP/FTM in coordination with other Engineering teams, Planning & Technical Records focals and also manage annual Airworthiness Reports to Customer/Authorities** * **Support Lease Return activities required in the frame of FHS-C or FHS-TSP/FTM as necessary** * **Ensure applicable airworthiness and technical publications management by;** * **Review technical documentations (AD, SB, VSB, SIL, TFU, AOT…), providing the most suitable recommendation to FHS and the airline** * **Manage A/C AD-SB status / Component VSB applicability and status, as necessary** * **Review of component technical standards as per contract source and the impact analysis on aircraft configuration (ELA, W &B)** * **Manage initialization and update of Electrical Load Analysis, Weight & Balance Register and Field Loadable Software Repository, as necessary** * **Drive Engineering activities for Entry-Into Service of new contract or new aircraft as needed, including MIS setup, configuration change management, FTM engineering setup, etc** * **Contributing to daily operations activities,** * **Manage queries from Customer / TSP** * **Perform the fleet health monitoring (airframe, engines and APU) and provide recommendation as necessary,** * **Ensure quality of data in IT Tools (including but not limited to MIS)** * **Define needs for digital tools for engineering and maintenance activities,** * **Contribute to the performance and unique added-value of FHS services,** * **Provide business expertise to support the development of solutions,** * **Test/implement the available solutions, to feedback on benefits and added values,** * **Monitor associated cost reduction or performance improvements.** * **Support and Contribute to CAM & Department Performance Reviews** ## ****Outputs**** * **Increased team motivation and engagement to reach assigned objectives,** * **Increased customer satisfaction in regards with AIRBUS Airline engineering support to:** * **Maintain aircraft airworthiness,** * **Increase A/C performance (reliability and availability),** * **Reduce cost of ownership and maintenance costs,** * **Provide visibility and anticipation on technical issues,** * **Improve integration of activities with necessary AIRBUS FHS & Support and Services entities to generate synergies and mutual benefits.** * **Improve AIRBUS FHS Cost base to improve FHS competitiveness or service price reduction to increase market share,** * **Strengthened AIRBUS Services development (FHS-C and FHS-TSP/FTM / digital tools, …)** ## ****Job Requirement**** * **Minimum degree holder in Engineering (preferably Aerospace) or AME, with specialisation in related fields** * **Minimum 10 years of relevant experience in Airline / OEM / MRO, mainly in Technical Services leadership position** * **Good knowledge of Continued Airworthiness Management** * **Good knowledge about AIRBUS, Engine Manufacturers’ and OEMs Technical Documentation** * **Good knowledge of Maintenance Information System, preferably AMOS** * **Licence or Type training on commercial transport category aircraft, preferably on any Airbus fleet aircraft (Desirable)** * **Strong Leadership, communication & managerial skills, ** * **Superior organisational skills, flexibility to manage multiple priorities, adaptability to changing & challenging deadlines with attention to detail,** * **Excellent team player with good communication and interpersonal skills** * **Customer interfacing experience in an aircraft operations and management environment** * **Proven experience in multicultural and international environment** * **Excellent level of spoken and written English** ## ****Organisation structure**** **The Jobholder is a member of the FTM-CT organization, and reports:** * **Operationally to the Head of FTM-CT Engineering (IISBIE)** **AIRBUS**Flight Hour Services (FHS)** is a transnational team Headquartered in Toulouse France, with a strong international footprint. Airbus FHS provides customized services to its Customers (mainly Airlines) ranging from FHS-Component PBH services, up to a TSP (Tailored Support Program) and FTM Standalone (Fleet Technical Management) with the objective to provide airlines the improvement of their maintenance and engineering activities to allow an increased aircraft reliability and availability, whilst supporting significant inventory management and repair cost savings. Such packages include fleet technical management, component maintenance, spare management, airframe maintenance and engineering services that are delivered by cooperating with a partner, suppliers such as OEMs, MROs or other service providers, subsidiaries or between several Operating Units. ** **AIRBUS**Fleet Technical Management Central Team (FTM-CT)** is based out of Bengaluru India and supports **Airline Engineering** teams to ensure highest level of FHS Component Reliability and TSP/FTM Standalone Customers to support increased aircraft reliability and availability, in line with applicable airworthiness requirements such as EASA & NAA and in accordance with Airbus Technical Standards and FHS Financial interests. FTM-CT is functionally linked to the In-Service Engineering (Airline Engineering) organization. ** This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus India Private Limited **Employment Type:** Permanent \\------- **Experience Level:** Professional **Job Family:** Leadership By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "HO Avionics-Airframe Systems and Airworthiness-Technical Library Cell at Airbus India Private Limited. Skills: Avionics Systems, Airframe Systems, Airworthiness Management. Oversee activities of Avionics and Airframe Systems. 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