Top Data Management Jobs

Lead analytics for Chewy's product selection growth, influence decisions through insights, develop data solutions, and mentor analysts.

Lead analytics projects for Chewy's merchandising team, develop frameworks for SKU productivity, and deliver insights for vendor performance and business decisions.

Lead the Merchandising Analytics function, develop data solutions, provide insights for decision-making, and mentor analysts while collaborating with cross-functional teams to enhance vendor performance and product selection.

Lead the People Analytics team to develop data tools for decision making, manage data governance, and collaborate with diverse teams for effective people data usage.

As a Manager of Data Analysis at Capital One, you'll lead a team to analyze and organize critical data, collaborate across functions, and drive strategy through advanced data insights and analytical skills.

The Senior Data Analyst Manager will lead analytics projects, mentor junior staff, validate analytical tools, and set strategies for enterprise initiatives in Card Recoveries.

Lead the Supply Chain Data, Analytics, and Governance function, managing data strategy, governance, and analytics for supply chain operations, utilizing advanced analytics and AI.

The Data Science & Analytics Manager role involves leading data science projects, developing team relations, and managing product lifecycle strategies, with a focus on analytics-driven solutions in supply chain systems.

As an Executive Director - Control Manager for Data & Analytics, oversee risk management, ensure compliance with regulations, and manage product change initiatives.

The Senior Business Manager will lead a team of business analysts, driving data transformation initiatives, improving data usage, and collaborating with product teams to enhance business value.

The role involves leading data analysis, improving operational efficiencies, mentoring analysts, and applying advanced analytical skills to drive business strategy and customer experience.

The Data Analysis Manager will drive strategy through analytics, lead a team, improve processes, and collaborate on data-driven decisions in a dynamic environment.

The Data Governance Senior Manager leads governance initiatives for APIs and data sets at Cox Automotive, ensuring compliance, security, and alignment with enterprise standards while driving adoption and change management.

The Data Governance Manager serves as a liaison between data governance and domain owners, providing guidance, education, and support for compliance and data management responsibilities.

The Data Strategy Manager will lead projects to deliver data strategy solutions in Life Sciences, manage client relationships, and mentor team members.

Lead Global Party Management capability; oversee data governance, architecture, and engineering; manage Agile teams; ensuring master data quality and operational excellence.

As a Senior Manager Data Analysis, you will oversee data analytics projects, ensuring quality and risk assessment of analytical tools, while mentoring junior staff and influencing business strategies.

The Senior Manager of Data Analysis - AML will lead data-driven initiatives in the Anti-Money Laundering domain, focusing on predictive modeling and data governance while collaborating across teams to enhance business strategies.

The Manager, Master Data Management will lead MDM strategies and teams, ensuring data accuracy and governance in an enterprise context.

The Manager of Ontology and Data Modeling develops and maintains enterprise ontologies, collaborates with teams across Capital One, and advocates for semantic technology integration in products and services.

The Manager, Data Science will lead a team of data scientists in developing machine learning models and data analysis to enhance banking experiences and security.

The Business Manager will lead data transformation, develop business strategies, manage multiple projects, and communicate insights to senior leaders at Capital One.

The role involves leading a team in data analysis, building models, improving processes, and leveraging analytics for strategic growth, while mentoring junior analysts.

Manage pricing strategy for fantasy sports markets, lead a team, develop pricing models, collaborate cross-functionally, and ensure data integrity.

The role involves driving strategy through data analytics, leading a team, implementing process improvements, and developing data models. Requires strong analytical, problem-solving, and leadership skills.