Senior Technical Data and Analytics Product Manager

Role Overview

• 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.

Tech Stack

• Cloud
• SQL

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.