Lead Data Product Manager - Pharmacy Data Products

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The Lead Data Product Manager owns the lifecycle of CenterWell Pharmacy data products-ensuring data assets are trusted, governed, discoverable, and reusable across analytics, operational workflows, digital experiences (web/mobile), and future AI-enabled self-service. This role is accountable for turning both new and legacy pharmacy datasets into well-defined, productized data products, particularly as data is modernized and migrated to Databricks.
This position requires an individual who can operate at the strategy level when needed, but is primarily detail-oriented and execution-focused-able to define requirements, manage backlogs, write SAFe features and user stories, align stakeholders, and drive delivery with engineering teams in an Agile SAFe environment.

Key Responsibilities
1) 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.

2) Productize Data During Modernization / Migration to Databricks

• 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 semanticsDocumented lineage and dependenciesVersioning and change management expectationsValidation and reconciliation criteria for cutover

3) Implement Practical Data Governance Foundations (DAMA-aligned)

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 rulesSet thresholds/SLAs and issue management workflowTrack and reduce recurring defects
• Define dataset lifecycle practices: retention, deprecation, and controlled evolution over time.

4) Enable Self-Service Analytics and AI Readiness Through Better Usability

• Improve accessibility and usability for analysts and associates by standardizing:Definitions, naming conventions, documentation, and examplesAccess patterns and secure sharing/entitlements"How to use" guidance and common query patterns
• Ensure data products are designed for reuse across teams and use cases-supporting future AI self-service layers by strengthening consistency, labeling/semantics, and discoverability.

5) Support Downstream Product Experiences (Web/Mobile & Operational)

• 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).

6) Deliver via SAFe Agile (Features, Stories, and Backlog Ownership)

• Operate within an Agile SAFe delivery model:Contribute to PI Planning, refinement, and ART ceremoniesWrite and manage Features (SAFe) and User Stories with clear acceptance criteriaMaintain 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).

Use your skills to make an impact
Required Qualifications

• 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.

Preferred Qualifications

• 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

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$126,300 - $173,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides 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.

Application Deadline: 03-05-2026
About us
About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient's well-being.

About CenterWell, a Humana company: CenterWell creates experiences that put patients at the center. As the nation's largest provider of senior-focused primary care, one of the largest providers of home health services, and fourth largest pharmacy benefit manager, CenterWell is focused on whole-person health by addressing the physical, emotional and social wellness of our patients. As part of Humana Inc. (NYSE: HUM), CenterWell offers stability, industry-leading benefits, and opportunities to grow yourself and your career. We proudly employ more than 30,000 clinicians who are committed to putting health first - for our teammates, patients, communities and company. By providing flexible scheduling options, clinical certifications, leadership development programs and career coaching, we allow employees to invest in their personal and professional well-being, all from day one.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.