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.

Requirements

The Technical Data and Analytics Product Manager II would have a 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 Technical Data and Analytics 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.
For technology specific roles experience in consumer-facing software & services or a start-up environment preferred.
MBA preferred.
The Senior Technical Data and Analytics Product Manager would have a 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.
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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata analyticsbusiness intelligencedata visualizationSQLdata product designcanonical data modelssemantic modelsdata instrumentationdata ingestion

Soft Skills

influencing without authorityanalytical insightseffective communicationproject managementcross-functional collaborationnegotiationdiplomacypersuasivenesspresentation skillsdecision-making

Certifications

BA/BS in Business AdministrationMBABachelor's degree in Computer ScienceBachelor's degree in Applied AI