Technical Data and Analytics Product Manager II - Senior

Cambia Health Solutions offers a hybrid work arrangement in Portland, OR with a competitive annual salary range of $104,000 to $228,000. This senior role centers on Snowflake-native data, analytics, and semantics, giving you ownership of the product roadmap, governance, and AI-enabled data products across the enterprise. You will collaborate across business partners, data engineering, and analytics consumers to shape trusted data for both human decision makers and AI systems.

Benefits

• Medical, dental and vision coverage for you and eligible family members, including mental health benefits.
• Annual employer contribution to a health savings account.
• Generous paid time off varying by role and tenure, plus 10 company-paid holidays.
• Market-leading retirement plan with a company match on employee 401(k) contributions and potential discretionary contributions based on company performance, with no vesting Period.
• Up to 12 weeks of paid parental time off, eligibility requiring 12 months of continuous service prior to leave.
• Award-winning wellness programs that reward participation.
• Employee Assistance Fund for those in need.
• Commute and parking benefits.

Responsibilities

• Own the delivery roadmap for data, analytics, and semantic products within assigned business domains, guiding near-term value while preserving long-term platform coherence.
• Lead stakeholder engagement with business partners, data engineering, and analytics consumers to identify opportunities where governed data and AI capabilities improve outcomes.
• Collaborate with Semantic Analysts, Data Engineers, and AI product teams to translate business intent into semantic models, metric definitions, and context layers on the Snowflake platform (dbt Semantic Layer, Snowflake Cortex, Sigma).
• Understand enterprise strategy and domain priorities; highlight opportunities where applied AI and semantic intelligence accelerate decisions at scale.
• Drive decisions across the semantic layer, including entity definitions, metric governance, ontology design, and the AI-ready context layer used by agents.
• Balance business and technical objectives when prioritizing features for both human analysts and machine consumers such as Cortex agents and AI workflows.
• Coordinate across the data and analytics landscape to sequence initiatives, avoid definitional fragmentation, and maximize platform-wide impact.
• Translate business requirements into precise product specifications, prototypes, semantic contracts, data quality SLAs, and AI-ready context specs.
• Partner with TPMs and engineering to manage complex product and technical decisions within an agile delivery model.
• Align with internal and third-party partners such as Snowflake, Sigma, and dbt Labs on platform capabilities, roadmap integration, and joint development opportunities.
• Define and communicate product success metrics, including semantic layer adoption, metric trust scores, AI agent accuracy, and analytics platform utilization, using these signals to drive continuous improvement.

Requirements

• Bachelor's degree in Business Administration, Computer Science, Applied AI, or a related field, with 10+ years of experience in data engineering, data analytics, and/or business intelligence, plus 5+ years of product management in a data-driven industry; healthcare, insurance, banking, or related experience preferred; MBA preferred.

Technologies

• Snowflake
• dbt Semantic Layer
• Snowflake Cortex
• Sigma
• dbt Labs

What sets this role apart

This is not a traditional analytics PM role. The right candidate treats the semantic layer as foundational infrastructure—the difference between AI that hallucinates and AI that reasons. They are comfortable in both business strategy discussions and technical reviews of dbt models, bridging the gap between executive vision and data modeling.