Top Data Management Jobs

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.

Lead the development of data engineering solutions using AWS and Snowflake, manage client accounts, mentor junior staff, and inspire a culture of integrity and innovation.

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.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

The Quant Analytics Manager will drive email marketing analytics, optimize strategies, and enhance data utilization for performance improvements. Collaboration with various teams and mentoring new hires is also key.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

The role involves managing a team of data scientists to create generative AI solutions and build machine learning models using large datasets, while collaborating with cross-functional teams.

The Manager, Data Scientist will lead the Alternate Data Strategy team in developing innovative solutions for evaluating alternative datasets and building machine learning models to enhance decision-making processes.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

Manage customer data analytics for the Walmart account, focusing on generating insights, coordinating reports, and collaborating with teams to drive sales growth.

Manage data operations, ensure data quality, lead client engagement audits, and support oncology research through effective data solutions.

As a Senior Manager, you will validate analytical tools, manage projects, assess risks, mentor staff, and communicate results effectively.

The Assistant Manager will lead data governance and analytics, manage the Data Warehouse systems, ensure data security, and develop policies for data management and compliance.

The role involves designing and optimizing data-driven marketing strategies, executing campaigns, and collaborating with various teams to ensure effective data management and analytics-driven decision making.

As a Data & Marketing Systems Quant Analytics Manager, you will create and optimize data-driven marketing strategies, ensure compliance with data standards, and mentor junior analysts while collaborating across teams.

The Data Analysis Manager will lead a team, drive analytic strategies, and improve operational efficiencies while working with large datasets. Responsibilities include data mining, implementing process improvements, and consulting on new systems.

Drive data analysis strategy, build models, and lead a team of analysts while collaborating across business units and improving operational efficiencies.

Manage data analytics and master data management projects, leading a team to ensure quality project delivery and customer satisfaction while managing resources and stakeholder relationships.