Sr. Manager, Technical Product Management

McKesson•Irving, TX

1d•Hybrid

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. This role is a hybrid position. The selected candidate is expected to work on-site at our 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. Current Need: 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

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

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) 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.
Data Quality, Governance & Compliance 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.
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 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.