Senior Data Product Manager for MedInsight Analytics

Cambia Health Solutions

Bellevue (WA)

Hybrid

USD 128,000 - 208,000

Full time

9 days ago

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Benefits offered by this job

Medical, dental and vision coverage

Generous paid time off

401(k) with company match

Parental leave

Wellness programs

Employee Assistance Fund

Job summary

Cambia Health Solutions seeks a data product leader to drive MedInsight-driven, AI-enabled analytics across actuarial and enterprise users. You will translate complex analytic needs into actionable product requirements, oversee data quality and governance, and partner with actuarial, engineering, and vendor teams to deliver high-value data products.

The role offers a path to Product Manager II or Senior Product Manager with responsibilities spanning semantic layers, automatic data discovery, and

Qualifications

BA/BS in Business Administration or relevant field with 6+ years' experience in a product management position in healthcare or equivalent combination of education and experience.
For technology specific roles experience in consumer-facing software & services or a start-up environment preferred.
MBA preferred.
The Data Product Manager III would have a BA/BS in Business Administration or relevant field with 8+ years' experience in a product management position in healthcare, or equivalent combination of education and experience.

Responsibilities

Own MedInsight product strategy and roadmap - shape the vision, strategy, roadmap, and backlog for inbound Milliman-enriched data, outbound MedInsight extracts, Healthcare Intelligence views, and related enriched data products that serve actuarial, analytics, and operational consumers.
Manage MedInsight operational readiness and product support - own the product lens for MedInsight enhancements, defects, releases, vendor delivery questions, validation findings, stakeholder escalations, and change communications, ensuring data products are understandable, reliable, well-documented, and fit for analytic use.
Translate analytic needs into deliverable requirements - convert complex business objectives, actuarial methodology, data lineage, data quality needs, and analytic consumption patterns into clear product requirements, acceptance criteria, and delivery priorities that engineering and analytics squads can execute.
Advance semantic, AI-enabled, and self-service capabilities - guide product input for governed semantic layers, AI-powered insight discovery, automated data discovery, agentic self-service, analytic service management, and responsible AI practices that make MedInsight data easier to understand and use.
Partner across business, technology, and vendor teams - work with Actuarial, Healthcare Informatics, Finance, Clinical, Care Management, Provider Analytics, Engineering, Data Governance, Architecture, Operations, and Milliman partners to identify high-value MedInsight opportunities and align on practical solutions.
Lead cross-functional delivery and tradeoff decisions - collaborate with developers, analysts, BSAs, QA, program management, engineering, governance, architecture, operations, and vendor partners to manage dependencies, resolve ambiguity, and move complex product decisions forward.
Drive adoption, governance, and measurable impact - measure product success, analyze usage, improve data quality and trust, support access governance, strengthen supportability, and communicate how MedInsight products improve analytic effectiveness and business outcomes.