Top Tech Jobs & Startup Jobs in Boston, MA

Senior analytics leader who defines analytic strategy, leads a team of SQL analysts and BI developers, architects scalable frameworks for medical economics, risk, population health and value-based care, ensures methodological rigor in DBT/Spark and Quicksight dashboards, drives automation and AI integration, presents to executive stakeholders, and mentors senior analytic talent.

Lead business development and close new Payor accounts by prospecting, qualifying, and cultivating C-level relationships. Drive proposal and contract processes, collaborate with product, operations, and finance, maintain accurate pipeline in Salesforce, provide financial projections, and secure multi-year, multi-million-dollar contracts with commercial and regional payers.

Lead new-account acquisition in the Provider market by identifying, engaging, and closing enterprise health system and provider group deals. Manage long sales cycles, build C-level relationships, drive proposals and contracting, coordinate with internal teams, maintain pipeline in Salesforce, and frequently travel to customers to achieve revenue targets and account expansion.

Lead end-to-end product development of enterprise-grade AI-powered healthcare solutions (generative AI, LLMs, RAG, automation). Drive roadmap, customer validation, cross-functional execution, measurable adoption, and business outcomes while mentoring product practices.

Manage end-to-end success for a portfolio of non-enterprise healthcare customers: drive adoption, troubleshoot complex data and platform issues, run trainings and implementations, coordinate cross-functional teams, develop customer roadmaps, and support renewals while ensuring data quality and security compliance.

Own SQL and dbt-based data modeling and data quality for clinical and claims datasets. Author and refactor dbt models/tests, triage DQ alerts, design monitors, optimize SQL performance, and collaborate with Data Engineering and stakeholders to ensure trusted production datasets.

Own cross-team, platform-level engineering initiatives end-to-end: architecture, migrations, observability, on-call, and customer outcomes. Drive AI-native tooling and agentic AI adoption, mentor senior engineers, and set technical standards across teams.