Top Data Management Jobs

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Lead the Data & Analytics Engineering teams, overseeing the end-to-end data platform and AI integration, while managing team growth and partnerships with business stakeholders.

Designs, builds, tests, and maintains software and data infrastructure for business-facing solutions. Develops CI/CD and DevOps practices, supports applications throughout their lifecycle, contributes to internal tools and standards, and collaborates directly with end users. Requires Python, SQL, large-scale data engineering experience, Azure and Databricks knowledge, and familiarity with Power BI, Copilot Studio, and AI tools.

Lead a team of analysts delivering strategic analytics and business intelligence solutions. Establish data quality, governance, documentation, KPI, and reporting standards; oversee reconciliation and complex analyses; guide visualization and analytics practices; evaluate tools and automation opportunities; manage the team roadmap and performance metrics; and coach analysts while partnering with executives and stakeholders.

Lead the architecture, roadmap, and delivery of Snowflake data platform capabilities, including ingestion, lakehouse and medallion architecture, identity resolution, foundational datasets, data quality, and customer 360. Manage and mentor data engineers while remaining hands-on with complex pipelines, data models, architecture, code reviews, and troubleshooting. Partner with business and technical leaders to prioritize initiatives, establish standards, evaluate tools, and support analytics, reporting, data science, and AI workloads.

Lead the global Master Data Management strategy across a complex manufacturing organization. Establish governance councils, data ownership models, standards, stewardship processes, quality controls, and enterprise master data frameworks. Govern product, material, customer, vendor, BOM, routing, and manufacturing data while integrating ERP, MES, PLM, CRM, and analytics platforms. Advise senior leadership, lead global transformation initiatives, develop data quality metrics, drive stakeholder adoption, and manage approximately 35% international and domestic travel.

Manage procurement data and reporting, including spend analytics, data integrity, taxonomy, dashboards, integrations, and ad hoc analysis. Partner with sourcing, FP&A, finance, and leadership to improve reporting, track savings and spend, monitor purchase orders and invoices, and support Travel & Expense strategy. Oversee Ignite and related procurement tools while developing standardized metrics, automated reporting cadences, and Looker visualizations.

Lead and mentor a team of data engineers to design, implement, and maintain scalable data pipelines, ensuring data quality and compliance with healthcare regulations.

Lead and manage preprocessing of overhead satellite imagery data pipelines, ensuring data integrity, QC, documentation, and customer-facing requirements. Oversee databases, ETL, cloud-based architectures, and geospatial file handling while mentoring team members and coordinating execution across the full data operations lifecycle to support intelligence missions.

The Director will lead analytics strategies, develop data-driven solutions, and optimize data pipelines to enhance A&R and marketing efficiency.

Lead a small product analytics team to drive data-informed product decisions for Higher Education courseware. Define KPIs across commercial and learning outcomes, own instrumentation and telemetry, scale experimentation (A/B tests), surface discovery insights, govern data quality, and communicate findings to executives. Partner with product, design, and engineering to embed analytics as a product capability.

Owns end-to-end data strategy for an assigned domain supporting mobile app user experience. Translates product roadmaps into data requirements, maintains data roadmaps, prioritizes delivery, ensures dataset quality and governance, and partners with product, engineering, domain leaders, and executives to connect data initiatives with organizational outcomes.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, data models, dashboards, cohort analyses, and A/B tests using SQL, Snowflake, dbt, and Looker. Partner with product, operations, engineering, sales, finance, and leadership to identify pricing and revenue opportunities, improve supplier retention, and translate marketplace insights into measurable business impact.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build scoring models, predictive machine learning models, dashboards, category and keyword data models, cohort analyses, and A/B tests. Partner with general management, product, operations, engineering, sales, finance, and customer success to translate marketplace insights into pricing, revenue, retention, and supplier engagement decisions.

Lead design and build of a cloud-based data platform; manage and mentor data engineering staff; define engineering standards, data governance, and access controls; partner with stakeholders to deliver scalable, reliable data pipelines and platform services for analytics and AI.

Hands-on data engineering leader responsible for designing, building, deploying, and operating scalable data pipelines and platforms. Manages and mentors a team, provides architectural leadership across cloud-native and distributed data solutions, partners with stakeholders to translate business needs into reliable data products supporting analytics and AI/ML, and drives operational excellence and continuous improvement.

The Data Scientist/Manager will analyze data, develop models, support organizational missions, and provide insights to enhance decision-making for the USDA.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The IT Audit Senior Manager leads data-related audits, guides teams on corrective actions, analyzes audit results, and develops audit reports while addressing complex problems and mentoring colleagues.

Lead and manage a data engineering team to design, build, and operate scalable data pipelines, ETL, data warehouses/lakes, and reporting on AWS/Azure. Drive data governance, quality, SLA definitions, automation, and cross-functional collaboration with data scientists, analysts, and product owners to deliver analytics solutions.

The Enterprise Data Engineering Manager will lead data implementations and architecture, establish frameworks, and mentor teams to deliver scalable data solutions.

Lead a hands-on data engineering team to build and scale production data pipelines, datasets, and observability for alternative-data products. Drive architecture, data modeling, QA, and AI-ready dataset design while coaching engineers, partnering with product and research, and owning operational excellence across Databricks, Airflow, SQL, and PySpark.

The Principal Data Analyst partners with leadership to translate data into insights, drive strategic decisions, and enhance operational efficiency through advanced analytics and Power BI expertise.