Top Senior Data Management Jobs

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.

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.

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

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.

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.

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

As a Manager in Data Governance at PwC, you will lead data governance strategies, supervise teams, manage client accounts, analyze data for decision-making, and ensure compliance with standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Senior Manager, Data Engineering oversees data engineering efforts, focusing on intelligent foundations and experiences. They are responsible for leading teams and optimizing data solutions.

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.

Provide analysis in support of geospatial intelligence missions, manage data dissemination, and develop workflows for data analysis and visualization.

The Senior Manager of Data Engineering will build a data platform, lead a team, and ensure data accessibility to support AI and business operations.

Lead data strategy and analytics for consumer products, mentor junior analysts, manage projects, and improve operational efficiencies using data-driven insights.

The role involves leading a team to develop machine learning models, analyze large datasets, and translate complex data insights into business goals. Requires collaboration with cross-functional teams to enhance decision-making and model validation.