Stand out for this role — generate a tailored resume and cover letter in about a minute.
McKesson, a Fortune 10 company, seeks a Senior Manager of the Enterprise Data Warehouse (EDW) for ERA. You will own data product strategy, oversee delivery, and partner with MT, engineering, and business stakeholders to provide scalable, compliant data assets powering analytics and reporting.
This hybrid role requires on-site work in Irving, TX two days weekly. You will drive architecture, data logic, and semantic design while aligning with enterprise analytics needs and data standards across
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.
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.
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.