Top Data Management Jobs

Lead and manage data delivery activities including databases, pipelines, ETL, cloud architectures, and geospatial data. Provide technical project management, quantitative analysis and visualizations, secure data and systems, mentor a team, and apply software, automation, and AI principles to solve complex problems for a government client.

Lead DR and GP&T commercial data strategy and execution, drive governance, data product readiness, and AI-enabled initiatives. Partner with commercial, product, technology, and risk stakeholders to build reusable data capabilities, strengthen controls, improve data quality/lineage, and translate data investments into measurable commercial outcomes.

Lead a quantitative modeling team to develop and govern credit underwriting, pricing, collections, and portfolio risk models. Collaborate with stakeholders on acquisition pricing, marketing optimization, M&A risk assessment, and model validation. Oversee model performance, governance, and implementation to support lending strategies and maximize profitability while minimizing credit losses.

Lead product analytics efforts to transform complex behavioral and usage data into actionable insights. Enable Amplitude platform adoption, build scalable dashboards and reports, ensure data quality and governance, partner with Product, Engineering, Sales, and Customer Success, and present findings to senior leadership to drive product and revenue outcomes.

Senior individual contributor leading regional execution of master data governance, quality, and stewardship. Drives data standards, remediation, integrations, MDM platform support, stakeholder alignment, compliance reporting, and large-scale data remediation across ERP/CRM/analytical systems.

Lead the global item master data strategy, centralize item repository, harmonize lifecycle processes, drive data quality and de-duplication, oversee large-scale migrations and platform enhancements, and manage a global team of data stewards and analysts to deliver cross-regional governance and operational consistency.

Lead a team to design, build, administer, and govern cloud-based enterprise data platforms. Partner with engineering, analytics, and infrastructure teams to deliver scalable, secure, reliable platforms (Snowflake/Databricks/Kafka/Airflow). Champion automation, IaC, CI/CD, cost optimization, and platform lifecycle management while mentoring staff and promoting best practices and continuous improvement.

Lead analytics for Paid Media strategy: design and deploy audience segmentation, ML models, and experimentation to optimize targeting, personalization, and digital acquisition. Apply emerging AI/GenAI techniques, collaborate cross-functionally to implement scalable data products, measure performance, and communicate insights to stakeholders.

Lead and grow a data platform engineering team to design, operate, and migrate to a modern cloud lakehouse. Own platform roadmap, ingestion frameworks (batch/CDC/API), CI/CD, observability, cost/performance, vendor delivery acceptance, and legacy decommissioning while enabling self-service platform patterns.

Lead finance-focused data and analytics initiatives: build scalable data models and Power BI dashboards, develop a Finance AI roadmap, analyze margin/utilization drivers, support profitability and pricing strategies, and deliver executive-ready insights partnering with FP&A, Operations, IT and senior leadership.

Lead integration of electronic case reporting, HIE, and lab data for chronic conditions; manage junior analysts and QA staff; oversee project plans, timelines, budgets; implement and test data pipelines; write proposals and collaborate across agency teams to deliver innovative data technology projects.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

The Forward Deployed Product Manager engages with clients to understand their needs, translates data requirements, and drives product adoption and strategy to maximize data value.

Lead a team of Data Stewards to ensure master data accuracy, define data requirements, monitor and report data quality metrics, oversee MDM and remediation workflows, perform profiling and root cause analysis, and drive automation and process improvements using SQL, Excel, and analytics tools.

Lead regional execution of master data governance and quality programs. Define standards, resolve complex data issues, drive remediation and integrations, support MDM applications, mentor stewards, and enable enterprise reporting and transformation initiatives.

Lead a team to build repeatable reports, dashboards, and scorecards; ensure data integrity; provide BI support; collaborate with cross-functional stakeholders; design and manage A/B and multivariate tests; manage project communications and deliverables.

Lead and grow a team of data engineers and analysts, own the data platform roadmap, design and operate reliable data pipelines across streaming, APIs, and various stores, set on-call and production monitoring practices, remain technically hands-on, and drive cross-functional collaboration to deliver analytics and infrastructure work.

The Research Data Manager oversees research datasets, quality assurance, compliance with HIPAA, and collaborates with clinical researchers to ensure effective data management.

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.

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.

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.

Lead solution/data architecture for end-to-end enterprise data warehouse implementations including data integration, ETL, data marts, reporting, cubes and MDM. Design architectures using frameworks (Zachman/TOGAF), guide implementation teams, and apply healthcare payer domain expertise. Work with Oracle/DB2/SQL Server and major ETL/BI tools to deliver large-scale reporting and analytics solutions.