Top Senior Data Management Jobs in Boston, MA

Lead a team to operate and scale CarGurus' data platform across ingestion, orchestration, storage, and observability. Own roadmap, SLAs, cost, security, and quality controls; improve developer experience; collaborate with product and stakeholders to prioritize initiatives, resolve incidents, and drive platform reliability and scalability.

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 strategy, governance, and operations for the ServiceNow CMDB and enterprise analytics. Drive CMDB data quality, CSDM adoption, reporting, dashboards, and KPIs. Partner with engineering, security, architecture, and service owners; manage budgets, vendors, and a team of administrators, analysts, and governance specialists to deliver actionable insights and improve service management.

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

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead a team to design and operate scalable Databricks/lakehouse platforms, ETL/ELT pipelines, data models, BI dashboards, and productionized ML. Ensure data quality, governance, and deliver actionable analytics and KPIs to drive business decisions while mentoring engineers, scientists, and analysts.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead the enterprise data platform strategy and architecture, driving Snowflake/dbt-based platform evolution, self-service Data Mesh and medallion models. Build AI-ready pipelines, RAG systems, and observability/cost frameworks while managing a central data team, supporting federated BI, and executing hands-on technical work.

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.

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

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.

Manage a team delivering accurate, timely data reporting for Transfer Agency clients. Build advanced Excel data models (Power Pivot, DAX, Power Query), automate reporting, develop dashboards and KPIs, ensure data quality and governance, and support process improvement and stakeholder reporting needs.

Manage onboarding, data structures, collection, and reporting for private markets clients. Lead client-facing reporting, build customized dashboards, respond to ad-hoc requests, support product rollouts, and mentor associates to ensure timely, accurate deliverables.

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

Lead delivery, support, and continuous improvement of enterprise reporting, dashboards, and analytics using Power BI and Microsoft Fabric. Partner with executives and business process leaders to define KPIs, enforce reporting governance and data quality, mentor analysts, manage cross-functional analytics projects, and drive analytics adoption and operational transparency.

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

Partner with investment teams to source, validate, model, and report investment data. Build and maintain quantitative models, dashboards, and automated reporting; support performance attribution, risk metrics, backtesting and scenario analysis. Improve processes via automation, cloud and emerging analytics (AI/ML), and collaborate with IT and global stakeholders to ensure data quality and delivery for investment oversight and multi-manager solutions.

Lead sourcing, validating, modeling, and reporting of investment data for Investment Consultancy & Oversight and Multi-Manager Solutions. Build quantitative models, dashboards, and automated workflows; partner with analysts, researchers, and tech teams to improve data quality, performance attribution, and portfolio analytics. Drive process improvements and adopt new technologies to support investment decision-making and reporting.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

Acquire, clean, validate, store, and protect data from internal and external sources; develop and execute data architectures, ETL solutions, and lifecycle policies; prepare data for reporting and visualizations; lead projects through design, coding, review and deployment; perform root cause analysis and translate business needs into technical requirements.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.