Hybrid Data Product Manager, MedInsight & Actuarial

Cambia Health Solutions; Renton (WA); Hybrid; USD 104,000 - 171,000; Full time

Benefits offered by this job

Hybrid work options

401(k) with company match

Paid holidays

Wellness programs

Job summary

Cambia Health Solutions seeks a Data Product Manager to shape the MedInsight data products and analytics stack. The role collaborates with actuarial, engineering, and business stakeholders to align on product direction, data quality, and governance.

The role emphasizes AI-enabled workflows, semantic layers, and self-service capabilities to improve analytic effectiveness and enterprise usability. Hybrid work options apply across multiple offices.

Qualifications

• 6+ years in product management in healthcare or equivalent.
• BA/BS in Business Administration or relevant field.
• MBA preferred.
• Experience with consumer-facing software or startup environments.
• Ability to translate analytic needs into clear product requirements.

Responsibilities

• Own MedInsight product strategy and roadmap for inbound/outbound data and related products.
• Manage MedInsight operational readiness and product support.
• Translate analytic needs into deliverable product requirements and acceptance criteria.
• Guide semantic, AI-enabled, self-service capabilities and governance.
• Partner with cross-functional teams to identify MedInsight opportunities and align on practical solutions.
• Lead cross-functional delivery decisions and manage dependencies.

Skills

SQL

Snowflake

Data product management

AI / semantic product

Stakeholder partnership

Healthcare payer analytics

Education

BA/BS in Business Administration or related field

MBA preferred

Tools

SIGMA

Cortex Code

Snowflake CoWork

Agent Studio

Job description

Cambia Health Solutions seeks a Data Product Manager to shape the MedInsight data products and analytics stack. The role collaborates with actuarial, engineering, and business stakeholders to align on product direction, data quality, and governance.

The role emphasizes AI-enabled workflows, semantic layers, and self-service capabilities to improve analytic effectiveness and enterprise usability. Hybrid work options apply across multiple offices.