Sr. Manager, Data Product Management

McKesson•Irving, TX

1d•$118,100 - $196,900•Hybrid

About The Position

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 supports customer-facing analytics and internal reporting. This role ensures delivery of scalable, high‑quality, compliant data assets that power analytics, reporting, and decision‑making across McKesson’s Pharma distribution segments. The Senior Manager partners with MT, engineering, upstream data owners, and business stakeholders to maintain a unified, trusted, and performant data ecosystem.

Requirements

Degree or equivalent experience.
Typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience.
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%.

Nice To Haves

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.

Responsibilities

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) aligned to enterprise analytics needs.
Define and drive data product standards, scalable business definitions, and enterprise‑aligned data logic.
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 and business needs.
Establish and maintain data quality metrics, validation processes, and automated checks ensuring accuracy, completeness, and timeliness with MT partners.
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.
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.
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.
Lead, mentor, and develop a high‑performing data product management team.
Establish operational rhythms, documentation processes, and standardized ways of working that 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.