Own the Pharmacy Data Product Portfolio (New + Legacy)
Define and manage a portfolio of pharmacy domain data products (e.g., prescription/refill journey, fulfillment milestones, operational status, member experience signals).
Identify and prioritize high-value legacy tables and datasets that have not been "productized" and are at risk during modernization.
Establish product roadmaps tied to measurable outcomes: improved self-service adoption, reduced time-to-insight, fewer data defects, and stronger downstream product enablement.
Lead product definition for data modernization efforts, ensuring legacy tables become managed data products, not unmanaged technical artifacts.
Partner with engineering and architecture to ensure migrated datasets include: Clear business definitions and consistent semantics Documented lineage and dependencies Versioning and change management expectations Validation and reconciliation criteria for cutover.
In collaboration with domain leaders, engineering, and data governance partners: Establish ownership and stewardship for important datasets (who owns, who approves changes, who resolves issues).
Create metadata and documentation standards (business glossary, dataset descriptions, field definitions, usage guidance).
Operationalize data quality management: Define critical data elements (CDEs) and quality rules Set thresholds/SLAs and issue management workflow Track and reduce recurring defects Define dataset lifecycle practices: retention, deprecation, and controlled evolution over time.
Improve accessibility and usability for analysts and associates by standardizing: Definitions, naming conventions, documentation, and examples Access patterns and secure sharing/entitlements "How to use" guidance and common query patterns.
Partner with digital and operational product teams to expose data appropriately. This exposure is achieved through product capabilities, such as convenient, reliable data products that represent "where a refill is in its journey" for web/mobile experiences.
Define and maintain data contracts and consumer expectations (availability, freshness, definitions, and schema evolution).
Operate within an Agile SAFe delivery model: Contribute to PI Planning, refinement, and ART ceremonies Write and manage Features (SAFe) and User Stories with clear acceptance criteria Maintain and prioritize a product backlog aligned to business outcomes and technical dependencies Coordinate cross-functionally across engineering, analytics, platform teams, compliance/security, and business stakeholders.
Track delivery progress and product KPIs (adoption, quality incidents, freshness, completeness, and consumer satisfaction).

Requirements

Bachelor's Degree
6–10+ years in product management, data product management, analytics product ownership, or a related role delivering data capabilities at scale.
Comfortable performing basic data exploration/validation using SQL (not expected to code pipelines, but able to query data to support requirements and problem-solving).
Strong stakeholder management: able to align domain SMEs, engineering, analytics, and leadership around shared definitions and priorities.
Experience with Databricks / lakehouse modernization (or similar platform migrations).
Familiarity with DAMA-DMBOK2 concepts applied pragmatically (governance, metadata management, data quality management, stewardship).
Experience with healthcare/pharmacy/claims/fulfillment or regulated data environments.
Demonstrated experience productizing data assets: improving governance, metadata, usability, quality, and adoption—not just moving data.
Proven ability to work effectively in SAFe / Agile environments, including writing Features and User Stories and participating in PI planning and refinement.
Strong competency in data concepts: Data modeling and semantics (how definitions translate to usable datasets) Metadata, lineage, quality, stewardship, lifecycle management.

Benefits

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance and many other opportunities.

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLdata product managementdata quality managementmetadata managementdata modelingdata governancedata lifecycle managementAgileSAFeproduct backlog management

Soft Skills

stakeholder managementcross-functional collaborationproblem-solvingcommunicationleadershiporganizational skillsprioritizationadaptabilityanalytical thinkingteam coordination

Certifications

Bachelor's DegreeDAMA-DMBOK2 certificationAgile certificationSAFe certificationProduct Management certificationData Governance certificationData Quality certificationAnalytics certificationProject Management certificationScrum certification