Sr. Manager, Data Product Management

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 tomorrows 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 highquality compliant data assets that power analytics reporting and decisionmaking across McKessons 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.

Key Responsibilities:

Data Product Strategy & Execution

• Lead the full endtoend 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 enterprisealigned 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 sourcesystem 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.

CrossFunctional 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 highperforming 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 datadriven decisionmaking.

• Provide coaching performance management and career development support for direct reports.

Minimum Requirement:

• 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%.

Preferred Qualifications:

• Experience in healthcare distribution or highly regulated industries.

• Familiarity with data governance frameworks and regulatory/audit controls.

• Background working with large multisegment data environments.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media light of these scams please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: .

McKesson is an Equal Opportunity Employer

McKesson provides 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. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!