Dbt Semantic Layer Data Jobs

1 job found

1mo ago

Technical Data and Analytics Product Manager II - Senior

Cambia Health Solutions Portland, OR

Portland, OR

1mo ago Closed

$104k - $228k/yr Full time Ai Workflows Analytics Business Analytics

This position is no longer accepting applications (closed Jun 22, 2026).

Job Description

The Senior Technical Data and Analytics Product Manager II at Cambia Health Solutions leads Snowflake native data, analytics, and semantic initiatives across the enterprise. This role owns the product roadmap and governance for data products and AI-enabled offerings, partnering with business stakeholders, data engineers, and analytics consumers in a hybrid environment based in Portland, Oregon. The position offers a salary range of USD 104,000 to 228,000 per year and requires a bachelor’s degree with a minimum of five years of relevant experience.

Responsibilities

Own the delivery roadmap for data, analytics, and semantic products within an assigned subset of the enterprise data domain, guiding how trusted data products are defined, governed, and delivered to business users and AI systems.
Balance near-term value with long-term platform coherence by leading the roadmap for data, analytics, and semantic offerings across the designated business domains.
Lead stakeholder engagement across business partners, data engineering, and analytics consumers to identify opportunities where governed data and AI capabilities yield measurable outcomes.
Collaborate 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).
Develop a deep understanding of enterprise strategy and domain priorities to surface opportunities where applied AI, semantic intelligence, and analytics accelerate decision-making at scale.
Steer product decisions across the semantic layer, including entity definitions, metric governance, ontology design, and the organizational context layer that supports AI agent reasoning.
Prioritize features by balancing business and technical objectives, serving both human consumers (analysts, operators) and machine consumers (Cortex agents, AI workflows).
Coordinate across the broader data and analytics landscape to sequence initiatives strategically, reduce definitional fragmentation, and maximize platform-wide impact.
Translate business requirements into concrete product specifications, prototypes, semantic contracts, data quality SLAs, and AI-ready context specifications.
Partner with TPMs and engineering to manage complex product and technical decisions within an agile delivery framework.
Align with internal and external 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, driving continuous improvement based on these signals.

Requirements

Technical Data and Analytics Product Manager II: a BA/BS in Business Administration or related field with 6+ years of product management experience in healthcare or an equivalent education/experience mix; experience in consumer-facing software or startup environments preferred; MBA preferred.
Technical Data and Analytics Product Manager III: a BA/BS in Business Administration or related field with 8+ years of product management experience in healthcare or an equivalent education/experience mix; experience in consumer-facing software or startup environments preferred; MBA preferred.
Senior Technical Data and Analytics Product Manager: a Bachelor’s degree in Business, Computer Science, Applied AI or related field; 10+ years in data engineering, data analytics, and/or business intelligence; 5+ years of product management experience or equivalent in a data-driven industry; healthcare, insurance, banking, or related industry experience preferred.

Technologies

Snowflake
dbt Semantic Layer
Snowflake Cortex
Sigma
dbt Labs

Benefits

Medical, dental, and vision coverage for employees 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 a potential discretionary contribution based on company performance, with no vesting period.
Up to 12 weeks of paid parental time off, eligibility requiring 12 months of continuous service immediately preceding leave.
Award-winning wellness programs that reward participation.
Employee Assistance Fund for those in need.
Commute and parking benefits.

What Sets This Role Apart

This position transcends a traditional analytics product role. The ideal candidate treats the semantic layer as foundational infrastructure, recognizing the difference between AI that hallucinates and AI that reasons correctly. They are equally comfortable contributing to business strategy discussions and reviewing dbt models, ensuring the platform reliably supports enterprise AI and analytics at scale.

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