Top Data Management Jobs in Boston, MA

Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.

Lead data validation and risk initiatives using advanced analytics, statistical modeling, and visualization to extract insights, improve data quality, build pipelines, and deploy scalable data solutions. Manage client accounts, mentor teams, and collaborate with stakeholders to address data challenges and optimize business performance.

Lead development and deployment of data-driven software solutions within the Tax practice. Manage client relationships, guide teams in design/coding/testing, enforce coding standards, implement CI/CD, integrate enterprise applications, conduct code reviews, mentor staff, and ensure projects are planned, budgeted, executed, and completed to meet client expectations.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

Lead and coach teams to design, code, test, and deliver software solutions driving digital transformation for tax clients. Translate requirements into technical specs, perform code reviews, troubleshoot complex issues, maintain client relationships, and promote innovation and systems thinking to validate outcomes and improve products.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

Lead and mentor a team of Data Engineers to deliver scalable customer-focused data solutions. Provide hands-on technical ownership, set architectural and engineering standards, advance AI-enabled development practices, and collaborate cross-functionally to improve data foundations, reporting, and delivery.

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.

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

Manage and improve corporate giving data systems: build and maintain Tableau/Excel dashboards, respond to ad hoc data requests, clean and govern community data, administer Bonterra/CyberGrants, and lead project management for giving programs and strategic initiatives while partnering with enterprise stakeholders.

Lead and grow a data platform engineering team to build and maintain a petabyte-scale data lake and infrastructure. Drive platform roadmap, scale systems globally, collaborate cross-functionally, and embed best practices for security, privacy, and AI transformation.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

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 and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

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 development and maintenance of data infrastructure and validation frameworks for quantitative ESG models. Build scalable data pipelines, integrate vendor and API feeds, create analytics dashboards, run model validation/back-testing, ensure production job scheduling and CI/CD, and deliver reporting to support quantitative research and portfolio analytics.

Manages research data acquisition, licensing, contracts, vendor relationships, governance, and lifecycle management at Harvard Kennedy School. Leads data safety reviewers, develops compliant data management plans and SOPs, assesses risks involving sensitive and restricted data, and advises researchers and leadership on licensing, legal, regulatory, and security requirements. Coordinates with faculty, vendors, procurement, legal, compliance, library, and sponsored research offices while providing training and portfolio reporting.

Lead enterprise Procure-to-Pay data initiatives, governance, and quality across Global Supply Management. Manage Data Analysts, analyze source systems (ERP, planning, WMS, shop floor), drive root-cause analysis, data migrations, validations, and process improvements to ensure accurate master and transactional data supporting planning, logistics, manufacturing, and digital transformation.

Manage state-level provider database staff and workflows, oversee provider loading/audits and troubleshooting, liaise across functions to resolve enrollment and data flow issues, and hire/train/coach direct reports to ensure consistent provider data integrity.

Manages enterprise data systems, data warehouses, integrations, governance, reporting, and business intelligence solutions. Develops SQL-based datasets, Power BI dashboards, Crystal Reports, and analytical tools using clinical, financial, operational, and administrative data. Partners with leadership, research, quality, finance, vendors, and program teams to support compliance, evaluation, strategic decisions, and process improvement. Oversees data quality, documentation, system enhancements, user training, and presentation of actionable findings.

Lead a team of 5-6 data engineers while contributing hands-on to ETL/ELT development and platform modernization. Oversee Talend/Qlik integration against Snowflake, manage projects, enforce governance and security, mentor staff, and coordinate cross-functional delivery to support enterprise data platforms and analytics.