Top Data Management Jobs

Lead delivery pods for enterprise data governance and ADS architecture: design target-state ADS, document data lineage, implement aggregation-layer controls, conduct SME interviews, translate policy into delivery plans, manage analysts, select governance tooling, and report KPIs to senior stakeholders.

This role leads the development of consumer data models and AI reporting solutions, ensuring data consistency and governance while enabling self-service analytics across the organization.

Design and maintain Looker/LookML data models and dashboards, perform end-to-end SQL analysis, ensure data quality with Data Engineering, build predictive models, and translate findings into actionable recommendations for cross-functional stakeholders.

The role involves leading a team of analytics engineers to develop scalable data solutions for product metrics, ensuring data integrity, and fostering a culture of excellence in data-driven decision making.

Lead development and improvement of quality systems in manufacturing and lab operations; oversee data integrity, validation, and quality relationships with suppliers.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

This role involves leading a team in managing the CCC data platform, overseeing database engineering, vendor relationships, and operational objectives while leveraging AI to enhance efficiency.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

Design and maintain scalable HR data architecture in Snowflake; build and optimize ETL/ELT pipelines with Matillion; enforce data governance, quality, lineage and security; manage SQL Server metadata environments; implement DevOps for data assets; partner with stakeholders and support AI-ready semantics and reusable data products.

Technical manager responsible for designing, building, and operating an enterprise Lakehouse on Azure. Leads data and analytics engineers, defines architecture and governance (Unity Catalog), ensures data quality, SLAs, DevOps/CI-CD, and delivers self-service analytics with Power BI.

Build and scale GTM contact data lifecycle and automation: acquire, enrich, validate, deduplicate, and govern contact data; design pipelines and automations; enforce data quality standards and SLAs; partner with leadership to prototype AI-driven GTM use cases; maintain documentation, monitoring, and reporting to measure data health and automation impact for frontline sales execution.

Lead enterprise Procure-to-Pay data initiatives, governance, and quality across Global Supply Management. Manage Data Analysts, analyze source systems (ERP, planning, WMS, shop floor), drive root-cause analysis, data migrations, validations, and process improvements to ensure accurate master and transactional data supporting planning, logistics, manufacturing, and digital transformation.

Lead data management, cleaning, validation, and standardization for a large MEL program. Manage the SPARK/Salesforce database, design interactive dashboards, perform quantitative and meta-level portfolio analyses, coordinate partner data collection, integrate qualitative and quantitative data, support indicator development and PIRS, ensure DoS data governance and PII compliance, and provide analytic support for evaluations and ROI analyses.

Lead and manage a team of analytics professionals to deliver data-driven insights, manage analytics projects, collaborate with stakeholders, and provide actionable recommendations using statistical analysis, predictive modeling, and data visualization.

Lead data engineering initiatives to build ingestion, integration, and common data models; enable data products and governance across domains; design scalable cloud-based data architectures and ML pipelines; collaborate with business and tech teams to deliver data products, ensure data quality, and drive adoption.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Build and own HRBP analytics: deliver dashboards, predictive models, ROI and program evaluation, AI-enabled workflows, data storytelling for executives, and scalable reporting systems while partnering with HRBP Operations and stakeholders.

Lead North America Data & Insights strategy and team to deliver scalable data, analytics, AI, and Data Mesh solutions. Partner with business and IT to prioritize initiatives, strengthen data governance, manage budget and stakeholders, mentor teams, and represent North America on the global data leadership team.

Lead a small data engineering team while contributing hands-on to design, build, and maintain production data pipelines, warehouse, ETL, and BI stack. Own data reliability, governance, reporting (internal and actuarial), enable self-service analytics, consolidate analytics standards, and drive infrastructure/vendor decisions aligned to business goals.

Lead agile software development and data integration efforts, respond to audits/RFPs, enforce data governance, write and review code, troubleshoot and root-cause issues, deliver data visualizations to senior management, and manage/mentor a team while aligning IT solutions to business strategy.

Manage and secure the organization's data operations: administer and optimize relational databases, maintain Tableau dashboards, lead offshore DBAs/analysts, ensure HIPAA-compliant backups/recovery, support ETL/data ingestion pipelines, automate routine tasks, and collaborate with developers and data engineers to improve performance and data integrity.

Manage supplier master data governance by defining policies, controls, and standards; lead data quality, compliance, and remediation efforts; partner with business and IT for UAT and system implementations; oversee a data governance team, documentation, metrics, and cross-functional process improvements to ensure data integrity and audit readiness.

Own developer relations for GPU-accelerated analytical data processing: integrate NVIDIA libraries into query engines and OLAP databases, produce rigorous benchmarks, create reference integrations and guides, collaborate with engine architects and NVIDIA product teams to define APIs and roadmap, and drive adoption across open source and commercial projects.

Lead planning, execution, and delivery of large enterprise data and analytics projects. Manage project life cycle, risks, budgets, vendors, stakeholders, and cross-functional teams. Enforce PM best practices, create WBS, produce status/KPI reports, mentor team members, handle escalations and on-call support, and drive process improvements and project closures.