Top Data Management Jobs

Lead a team building and operating scalable data pipelines and platform infrastructure. Hands-on coding, code review, and delivery ownership; enforce best practices for testing, CI/CD, observability, and cost optimization. Mentor engineers, recruit talent, and collaborate with analytics, data science, and business stakeholders to translate requirements into platform solutions.

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The role involves leading a team of data analysts, driving strategy through analytics, and improving data processes and reporting. Candidates should have experience with data analysis and programming, mentoring, and business intelligence.

The Senior Manager of Data Analysis will manage validation projects, assess analytical tool risks, and mentor junior staff while collaborating cross-functionally and enhancing analytical capabilities.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead a global analytics team to transform financial and operational data into actionable insights. Partner with stakeholders to align analytics with strategy, build scalable Power BI dashboards integrated with Snowflake, apply predictive modeling and ML, enforce data governance, drive automation with Python and Power Automate, and improve data architecture and reporting to inform decision-making and business performance.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

Lead a team of analysts to drive strategy through data mining, modeling, and BI. Work with massive datasets, design/validate tests, improve reporting/processes, consult on data systems, and collaborate across business units to enhance customer experience.

Manage a team of data analysts, drive strategies using analytics, improve data processes, and evaluate product offerings through analysis and modeling.

The Data Science Manager will lead a team to deliver insights using data science techniques, influencing business strategies and providing guidance to senior management.

The Senior Data Analysis Manager will manage data analytic projects, create dashboards, partner with stakeholders, and lead a team, focusing on strategic insights and analytics.

The IT Manager of Data & Analytics is responsible for leading data governance, implementing DevOps practices, and overseeing emerging technologies adoption while managing a team to enhance data capabilities and ensure compliance and operational efficiency.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

As a Data Scientist Manager in Card Payment Fraud Prevention, you will lead a team to build and deploy machine learning models to combat first-party fraud, enhance customer safety, and optimize fraud capture rates by leveraging big data and advanced statistical methods.

The Data Product Manager will support data domain management, ensuring quality and usability, while collaborating with cross-functional teams.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.

The Manager of Ontology and Data Modeling develops and maintains ontologies, collaborates across teams, supports semantic technology integration, and manages teams focused on data modeling to achieve enterprise initiatives.

This role oversees metadata quality review processes, manages process improvements, analyzes metadata quality data, resolves complex issues, and collaborates on data strategy initiatives while providing training to stakeholders.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

The Data Manager will lead the Data team, manage execution across analytics and engineering, track KPIs, and ensure quality data practices while collaborating with cross-functional teams.

The Data Operations Manager will lead the team, define extraction logic for asset data, and train AI models while collaborating with product and clients.

Lead the Data and Analytics team at PwC, focusing on SSIS, SQL Server, and BI reporting. Manage projects, mentor junior staff, and drive innovation.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.