Sr. Manager, Data Product Management
Listed on 2026-07-18
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IT/Tech
Business Intelligence, Business Systems & Technology Analysis, Data Analyst, Data Engineering
The Senior Manager of the Enterprise Data Warehouse (EDW) for the Enterprise Reporting & Analytics (ERA) platform is responsible for the strategy, execution, and management of the delivery of data products that support customer‑facing analytics and internal reporting. This role ensures scalable, high‑quality, compliant data assets that power analytics, reporting, and decision‑making across McKesson’s Pharma distribution segments.
The selected candidate is expected to work on‑site at the Irving, TX office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in‑office days may be designated based on team needs and business priorities.
Key Responsibilities- Data Product Strategy & Execution
Lead the full end‑to‑end lifecycle of EDW data products, including vision, roadmap definition, requirements, delivery, and continuous improvement. Maintain and evolve EDW architecture, business logic, and semantic layer design (e.g., LookML). Translate complex business requirements into actionable technical specifications for engineering and platform teams. Implement and maintain logic for key EDW fields to ensure accurate data representation across supported USPD segments.
Support the rollout of new data features and enhancements based on defined product requirements. - Data Quality, Governance & Compliance
Establish and maintain data quality metrics, validation processes, and automated checks ensuring accuracy, completeness, and timeliness. Oversee QA/UAT processes including reconciliation and source‑system validation. Ensure alignment with regulatory, legal, audit, and enterprise data governance standards. Promote adoption of governance frameworks and consistent data management practices across analytics and business teams. - Semantic Layer Support
Partner with Product Management and Engineering to implement LookML fields and indicators aligned with EDW logic. Ensure semantic layer consistency by validating field mappings and business rule alignment. - Cross‑Functional Collaboration & Stakeholder Engagement
Serve as the primary liaison between technical teams, analytics partners, upstream data owners, and key business stakeholders. Facilitate discovery, feedback loops, and prioritization discussions to ensure EDW solutions meet business needs. Drive alignment across multiple partner groups on data logic, definitions, and solution approaches. - People Leadership & Team Management
Lead, mentor, and develop a high‑performing data product management team. Establish operational rhythms, documentation processes, and standardized ways of working to support team efficiency and repeatability. Foster a collaborative, inclusive culture focused on innovation, continuous improvement, and data‑driven decision‑making. Provide coaching, performance management, and career development support for direct reports.
• Degree or equivalent experience. Typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience.
Critical Skills- 9+ years of experience in data product management, data architecture, analytics, or a related field and 1+ years supervisory and/or management experience.
- Demonstrated experience managing complex and ambiguous data products and ecosystems or enterprise data initiatives.
- Strong knowledge and understanding of EDW pipelines, data warehousing concepts, and semantic layer development.
- Experience working with SAP, Snowflake, Looker/LookML, or similar enterprise data ecosystems.
- Demonstrated expertise in converting business requirements into data product solutions that support advanced analytics and promote scalability.
- Effective communication, prioritization, and empowerment skills.
- Operational excellence and continuous improvement mindset.
- Ability to travel up to 20%.
- Experience in healthcare, distribution, or highly regulated industries.
- Familiarity with data governance frameworks and regulatory/audit controls.
- Background working with large, multi‑segment data environments.
Competitive compensation package as part of McKesson’s Total Rewards. Pay range: $118,100 – $196,900. Additional compensation may include an annual bonus and long‑term incentive opportunities. Benefits information is available on McKesson’s careers site.
Equal Employment OpportunityMcKesson is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. Contact Disabili for reasonable accommodations.
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