Top Data Management Jobs

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

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.

The Manager will lead payments governance and oversight initiatives, implement data reporting frameworks, and enhance risk management practices through stakeholder collaboration and data insights.

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.

The Senior Manager, Data Analysis will validate business impacting analytical tools, assess methodologies, coach junior staff, and execute validation projects.

The Data Analysis Manager will drive strategies using analytics, lead a team of analysts, enhance customer experiences, and improve data processes.

Own the data product roadmap for a domain, translate business problems into data product requirements, partner with engineering and source-system owners, ensure data quality and documentation, and enable business teams to use data effectively to drive decisions.

The Operations Data Analytics Manager will support strategic operations and supply chain initiatives by solving problems, analyzing data, and collaborating across teams to provide insights for decision-making and project alignment.

The Cloud Solutions Manager leads the AWS ecosystem design for pediatric research, overseeing cloud architecture, DevOps, security, and compliance while mentoring a team and managing vendor relationships.

The Sr. Manager of Data Strategy and Reporting oversees data collection, analysis, and reporting for workforce programs, ensuring compliance and enhancing data usability, while collaborating with IT and various departments.

The Data Product Manager will oversee the integration of government data systems into the Ark platform, collaborate across teams, and document technical plans. Responsibilities include developing a data roadmap and understanding customer workflows.

The Senior Manager will oversee operations across technology functions, lead strategic initiatives in Data & AI, and ensure effective management of technology projects and resources. Responsibilities include engaging stakeholders, identifying risks, and fostering continuous improvement within the team.

Manage the Data Science and Analytics team, develop data solutions, ensure data quality, and provide analytics support for business decision making.

Manage and lead a team of data engineers, oversee data pipeline development, ensure data quality, and support analytics initiatives in financial services.

The Data Analyst will support project management by producing reports, managing data, budgeting, and analyzing project performance to ensure successful outcomes.