Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

Lead data stewardship for Personal Lines Product, Pricing, and Underwriting. Define and execute a data roadmap, translate plans into epics, guide modernization to a unified insurance platform, govern data policy and classification, collaborate with stakeholders and Agile squads, and advise on technical solutions (streaming, modeling, warehousing, Guidewire transformations).

Senior BI Platform Administrator to own enterprise BI infrastructure across Power BI, Microsoft Fabric, and Snowflake. Responsibilities include federated Power BI governance, Fabric AI Agent skill design and deployment, RBAC/RLS design, certified semantic model development, CI/CD and SRE practices for platform reliability, and measuring adoption. Partners with Data Engineering, IT Security, AI/ML, and business stakeholders to drive secure, performant analytics and AI-powered experiences.

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.

Partner with HR and business leaders to deliver timely people insights and storytelling. Own employee listening, retention and quality-of-hire analyses, comp and performance cycle support, headcount planning, Snowflake data work, and build self-serve dashboards and AI-driven automation to scale decision-making.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

Build scalable cloud data infrastructure and pipelines to transform transactional and financial data into reporting-ready datasets. Ensure accuracy, traceability, governance, and observability; partner with cross-functional teams, mentor engineers, and leverage AI-assisted tools to improve engineering productivity and enable AI-powered applications.

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.