Top Tech Jobs & Startup Jobs in Seattle, WA

Build and extend automated enterprise data governance and quality frameworks. Define measurable trust rules, data contracts, validation and certification workflows, metadata, lineage, tagging, and trust scoring across a cloud data platform. Integrate governance checks into developer workflows and Collibra, coach engineering and product teams, and establish organization-wide data trust standards. The role requires strong SQL, BigQuery or comparable warehouse experience, and expertise with data quality or observability tools.

Supports clinical data analysis, workflow improvement, solution requirements, project coordination, clinical content, dashboards, and customer engagement. Serves as a clinical subject matter expert, applying healthcare terminologies, data standards, SQL, Excel, and analytical tools to generate insights from EHR data. Collaborates with EHR vendors, pharmacies, payers, and internal teams on health IT initiatives and clinical solutions, including AI-enabled capabilities.

Generates and qualifies enterprise sales opportunities for Life Sciences healthcare technology solutions. The role prospects pharmaceutical organizations, engages VP and C-suite stakeholders, conducts discovery, validates opportunities using MEDDPICC, and collaborates with Account Executives and Marketing on account-based campaigns. Responsibilities include researching accounts, documenting intelligence in Salesforce, monitoring industry triggers, personalizing outreach, optimizing messaging, and maintaining expertise in healthcare regulations, pharmaceutical commercial models, and competitive trends.

Design, implement, maintain, and optimize hybrid public and private cloud infrastructure, storage, operating systems, enterprise management tools, and automation. Lead capacity planning, infrastructure cost analysis, security compliance, business continuity and disaster recovery planning, performance testing, documentation, and resolution of complex operational issues. Provide escalation support across technology departments while improving reliability, efficiency, and security.

Lead enterprise AI initiatives as a principal engineer and solution architect. Design, prototype, and deploy scalable generative AI, RAG, agentic AI, and predictive solutions. Translate business needs into technical requirements, evaluate technologies and vendors, conduct architecture reviews, and establish AI engineering, trust, safety, monitoring, and compliance standards. Mentor engineers and guide responsible AI practices across customer-facing products and internal operations.

Supports sales and account management teams by positioning healthcare technology solutions, conducting prospect discovery and vetting, answering technical integration questions, leading RFP/RFI responses, representing the company at industry events, and advising customers on network requirements, standards, use cases, and implementation effort. The role also communicates market insights and future product needs to product innovation teams.

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 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.