Top Data Management Jobs

The Senior Analyst will lead empirical research and analytics, design datasets, present insights to clients, and collaborate across teams in healthcare analytics.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across marketing.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

Lead measurement and experimentation for performance media accounts: design and validate statistically rigorous marketing tests, build reusable test frameworks, audit measurement work, perform spend optimization and regression analyses, partner with data engineering and media teams, and deliver executive-level insights to influence media investment decisions.

The Sr. Data Management Manager oversees data management activities for omnichannel marketing, ensuring compliance, architecture, and support for data initiatives across commercial brands, collaborating with cross-functional teams to drive data solutions and improvements.

The role manages GCIB's data domain, ensuring regulatory compliance and operational excellence through stakeholder collaboration and strategic execution.

Serve as the primary data partner to fundraising and marketing, building production-grade data models, defining KPIs, creating automated data products, delivering revenue forecasts and donor cohort analyses, and translating insights to drive acquisition, retention, and revenue growth.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

Lead and manage a team of data engineers to enhance AWS-based Cloud Data Platforms, ensuring high availability and reliability while supporting MedTech Surgery products.

Serve as the bridge between business stakeholders and technical teams to define, prioritize, and deliver data products (dashboards, data models, integrations, reporting, AI features). Gather requirements, write user stories, manage backlog, validate deliverables, support UAT, document data definitions/lineage, and evangelize products to drive adoption and ensure data quality and governance.

Lead design and delivery of Microsoft Fabric-based data pipelines, Lakehouse data models, and ETL in Python. Partner with Finance to translate requirements, ensure data quality, enforce engineering standards, mentor engineers, and produce analytics and reporting (Power BI/Databricks) to support forecasting and profitability analysis.

Lead design and implementation of data architecture and scalable pipelines (Snowflake, ETL/ELT), enforce data governance and controls, manage secure SFTP transfers, coordinate cross-functional projects, perform data modeling, resolve technical issues, and support integrations with EPM tools like Workday Adaptive Planning. Travel up to 5%.

As the Data Insights & Analytics Manager, you will lead analytics projects, collaborate with stakeholders, and define KPIs while overseeing data reporting and insights to drive business decisions.

Lead AML transaction monitoring compliance, oversee data governance, and participate in business strategy. Apply analytics and build dashboards to translate risks into metrics.

The Manager, Data Management & Visualization will lead a team, managing data workflows, ensuring data accuracy, and applying taxonomy structures for effective reporting.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

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 Manager of Data & Analytics will support strategy and execution of sponsorship measurement plans for diverse clients, leveraging analytics to demonstrate sponsorship impact and drive client decisions.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

The role involves leading the analytics strategy for procurement, overseeing a team, developing AI/ML models, and collaborating with cross-functional teams to improve operational performance and data governance.

The System Test Data Manager oversees the collection and integrity of test data for Missile Defense System tests, working with various teams to ensure data availability for analysis.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Manager of Data Engineering leads the design and governance of data platforms for analytics and AI, overseeing a team, architecture, and integration initiatives.

The Marketing Analytics Manager will oversee client projects, deliver insights through analysis, and manage teams to enhance marketing strategies.

The Marketing Analytics Manager oversees analytics projects, manages client relationships, synthesizes data into strategic recommendations, and mentors junior staff.