Technical Data and Analytics Product Manager II - Senior, DOE

Cambia Health Solutions • Portland, OR

2d • Hybrid

About The Position

Technical Data and Analytics Product Manager II - Senior, DOE Hybrid (Office 3 days/wk – Onsite-Flex) within Oregon, Washington, Idaho or Utah Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. Who We Are Looking For: Every day, Cambia’s dedicated team of Data & Analytics Product Development team are living our mission to make health care easier and lives better. As a part of the broader Information Technology Team, the Data & Analytics Product Team deploys extensive data, analytics, and semantics execution and delivery experience using our snowflake data platform technologies for analysis and insight generation using deep skills (Analytics, Data Modeling, Semantic Modeling) and product methodology (prospecting, discovery, value proposition, feature selection, user-centric design) in order to deliver business value to stakeholders in accordance with the product vision and in support of company goals. Do you thrive as a part of a collaborative, high performing team with a competitive mindset? Then this role may be the perfect fit. What You Will Do at Cambia: This role will focus on a subset of the total enterprise data domain and own product roadmap for Cambia's Snowflake-native data, analytics, and semantics— driving the evolution of how the enterprise defines, governs, and delivers trusted data products to business consumers and AI systems alike. Own and drive the delivery roadmap for data, analytics, and semantic products across assigned business domains, balancing near-term value delivery with long-term platform coherence. Lead stakeholder engagement across business partners, data engineering, and analytics consumers to identify opportunities where governed data and AI capabilities can drive measurable outcomes. Partner with Semantic Analysts, Data Engineers, and AI product teams to translate business intent into well-defined semantic models, metric definitions, and context layers on the Snowflake platform (dbt Semantic Layer, Snowflake Cortex, Sigma). Deeply understand enterprise strategy and business domain priorities; surface and champion opportunities where applied AI, semantic intelligence, and analytics can accelerate decision-making at scale. Drive product decisions across the semantic layer — including entity definitions, metric governance, ontology design, and the organizational context layer that powers AI agent reasoning. Balance business and technical objectives in feature prioritization — serving both human consumers (analysts, operators) and machine consumers (Cortex agents, AI workflows). Coordinate across the enterprise data and analytics landscape to sequence initiatives strategically, avoid definitional fragmentation, and maximize platform-wide impact. Lead the translation of business requirements into precise, implementable product requirements, including prototypes, semantic contracts, data quality SLAs, and AI-ready context specifications. Manage complex product and technical decisions in partnership with TPMs and engineering, operating within an agile delivery model. Build alignment with internal and third-party partners (Snowflake, Sigma, 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 — and drive continuous improvement based on those signals. What Sets This Role Apart - This is not a traditional analytics PM role. The right candidate understands that the semantic layer is foundational infrastructure — the difference between AI that hallucinates and AI that reasons correctly. They are equally comfortable in a business strategy conversation and a dbt model review.

Requirements

• Bachelor's degree in Business, Computer Science, Applied AI or related field.
• 10+ years of experience in data engineering, data analytics, and/or business intelligence.
• 5+ years of product management experience, or equivalent, within a data driven industry: Healthcare, insurance, banking, or related industry experience preferred.
• Comfortable at influencing without authority.
• Capable of taking analytical insights and tying them to effective framing for drive high-quality decisions by our business partners.
• Ability to build clear and concise presentations and communicate effectively at every level of the organization.
• Experience with data instrumentation, data ingestion, data enrichment, and data syndication in a cloud-based ecosystem.
• Experience with data analysis, business intelligence, and data visualization.
• Demonstrated specialization, execution, and delivery of the data & analytics product.
• Demonstrated project management skills, including effective planning, organizing, and administration of multi-functional work responsibilities.
• Demonstrated ability to facilitate cross-functional planning sessions (ie Scrum and Squad in agile).
• Demonstrated ability to effectively partner across, collaborate with, and inspire teams and individuals, including remote employees.
• Ability to negotiate and resolve complex and sensitive issues with diplomacy and persuasiveness.
• Expertise using SQL for analysis, analytics, and transformation.
• Expertise in Data Product Design of Canonical Data Models and Semantics (OLAP Tabular and/or Dimensional models, tools, etc.).
• Experience using the Snowflake ecosystem
• Experience with data for visualization tools (Especially SIGMA)
• Understanding of Cloud Data Warehouses, especially Snowflake, data modeling, semantics, metrics, etc.

Nice To Haves

• Experience with AI tools and technologies to enhance productivity and decision-making in professional settings highly desired
• Experience in healthcare payer Finance and Actuarial data and insight generation highly desired

Responsibilities

• Own and drive the delivery roadmap for data, analytics, and semantic products across assigned business domains, balancing near-term value delivery with long-term platform coherence.
• Lead stakeholder engagement across business partners, data engineering, and analytics consumers to identify opportunities where governed data and AI capabilities can drive measurable outcomes.
• Partner with Semantic Analysts, Data Engineers, and AI product teams to translate business intent into well-defined semantic models, metric definitions, and context layers on the Snowflake platform (dbt Semantic Layer, Snowflake Cortex, Sigma).
• Deeply understand enterprise strategy and business domain priorities; surface and champion opportunities where applied AI, semantic intelligence, and analytics can accelerate decision-making at scale.
• Drive product decisions across the semantic layer — including entity definitions, metric governance, ontology design, and the organizational context layer that powers AI agent reasoning.
• Balance business and technical objectives in feature prioritization — serving both human consumers (analysts, operators) and machine consumers (Cortex agents, AI workflows).
• Coordinate across the enterprise data and analytics landscape to sequence initiatives strategically, avoid definitional fragmentation, and maximize platform-wide impact.
• Lead the translation of business requirements into precise, implementable product requirements, including prototypes, semantic contracts, data quality SLAs, and AI-ready context specifications.
• Manage complex product and technical decisions in partnership with TPMs and engineering, operating within an agile delivery model.
• Build alignment with internal and third-party partners (Snowflake, Sigma, 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 — and drive continuous improvement based on those signals.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level