Top Tech Jobs & Startup Jobs in Seattle, WA

Lead strategy, commercialization, go-to-market planning, roadmap and lifecycle for an assigned health IT solution portfolio. Manage financial planning, build business cases, drive customer and partner relations, ensure regulatory alignment, collaborate cross-functionally, recruit and lead teams, and partner with Data & Analytics to create commercial solutions.

Lead development and commercialization of enterprise data and analytics products. Own portfolio strategy, roadmap, pricing, go-to-market, financial performance, and cross-functional execution. Build and coach the Data Solutions organization, engage executives and Board-level stakeholders, ensure compliance and scalability, and drive revenue and customer outcomes.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

The Senior Data Scientist leads data-driven initiatives, optimizing analytics for business decisions, mentoring staff, and ensuring data quality across healthcare projects.

Lead design, build, and operation of an enterprise medallion data lake on BigQuery. Manage data engineering team, own ingestion/onboarding, enforce data contracts and SLAs, ensure pipeline reliability and observability, control platform costs, and contribute to platform strategy and governance.

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery teams.

Lead technical design and delivery of enterprise AI solutions (generative AI, RAG, agentic AI, predictive models). Own architecture, deployment, responsible AI standards, vendor evaluations, prototyping, CI/CD/LLMOps, monitoring, and mentor engineers while aligning solutions to business outcomes and regulatory best practices.