Top Senior Data Management Jobs in Boston, MA

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

Lead Data Product Management for G&A functions, shaping strategy, coordinating execution, and establishing practices within Finance, HR, and IT sectors. Engage stakeholders, ensure data quality and governance, and manage team growth while directly overseeing product delivery.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

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

Lead development of data strategies to support business growth, advising on large projects and driving operational excellence while fostering high-performing teams.

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.

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

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 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.

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.

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, Data Management leads a firm-wide data management program, ensuring data quality and accountability across master data domains while partnering with stakeholders and managing staff.

Lead data innovation initiatives at Eversource, focusing on automation and data-driven decision-making in the engineering sector. Responsible for managing a team, optimizing projects, and collaborating with stakeholders to align data strategies with company goals.

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 AI/ML and analytics solutions design, manage public sector data projects, mentor teams, and ensure effective data operationalization.

Lead Applied Data Engineering at HackerOne, developing high-performance data products and fostering collaboration while driving innovation and continuous evolution.

The Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

The Senior Data Manager oversees all data management activities for clinical trials, ensuring data quality, consistency, and compliance while mentoring team members and collaborating across departments.

The Data Analytics Manager will collaborate with Commercial Lines leaders, manage the Global Data Warehouse, and drive data insights for effective decision-making.

The Senior Manager will optimize cloud costs and ensure financial accountability across data platforms, utilizing Snowflake and AWS services, while managing budgets and implementing automation for efficiency.

The Data Engineering Manager will lead a team, driving technical growth, fostering collaboration, and ensuring effective data architecture and systems.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.

Lead a team of data engineers in designing and maintaining scalable data infrastructure and pipelines, ensuring data integrity and decision-making support.