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

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.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Lead and mentor a data engineering team to design, build, test, and support cloud-based, real-time data platforms and distributed microservices using modern big data, streaming, and data warehousing technologies to deliver scalable customer and enterprise experiences.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

Lead design, development, and delivery of enterprise data engineering and software solutions for PwC Tax. Drive client engagements, business development, architecture and integration, mentor teams, and ensure data integrity and compliance while promoting advanced engineering practices.

Lead analytics to optimize the auto quoting and policy lifecycle experience, focusing on new-business growth and retention. Analyze quote flows, prefill data, risk classification, midterm/renewal logic, and competitive intelligence. Partner with Distribution, Data Science, Risk, Underwriting, Technology and Service teams to design, test, and implement experience improvements and provide actionable recommendations to increase engagement, reduce friction, and improve persistency and lifetime value.

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