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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.

Our Decision Intelligence (DI) team is looking for a Senior / Lead Platform Architect to define and govern the Azure Databricks platform patterns for AI-ready data and RAG across the enterprise, including Unity Catalog access controls, secure retrieval, evaluation/telemetry standards, and production readiness guardrails. As part of the DI team, you will lead design of AI ready “Intelligent Data Platform” ensuring consistent, governed, interoperable data across McKesson's platforms and BU segments.

Keys Roles & Responsibilities:

Platform Architecture Leadership:

• Define and maintain the Azure Databricks reference architecture for AI data preparation, grounding (RAG), orchestration, telemetry, and governance.
• Establish Databricks platform standards and guardrails, including workspace patterns, Unity Catalog design, compute policies, and cost controls.
• Ensure Unity Catalog is the system of record for AI data access, enforcing fine grained permissions, data masking, lineage, and auditability.
• Standardize embedding, feature, and context management to enable reuse of AI ready data assets across use cases.
• Operate AI intake and onboarding for Databricks workloads, ensuring proper classification, governance routing, and dependency alignment.
• Architect secure integration patterns between Databricks and downstream AI services or applications, preventing unapproved data egress.
• Embed quality engineering into AI pipelines using MLflow, evaluation datasets, telemetry, and drift monitoring before production rollout.
• Ensure production readiness and operability of Databricks AI workloads through Jobs/Workflows standards, monitoring, and KTLO handoff.
• Apply AI security and compliance by design within Databricks, including identity enforcement, sensitive data protection, and audit logging.
• Enable delivery teams through Databricks specific playbooks, templates, and coaching to accelerate compliant AI adoption.

Minimum Requirement:

Degree or equivalent and typically requires 10+ years of relevant experience

Required Qualifications

• 7+ years in platform, solution, or enterprise architecture with hands on experience in Azure Databricks.
• Proven experience designing AI/analytics data platforms, including governance, security, and large scale data access patterns.
• Strong understanding of RAG, vector retrieval, data governance, and observability in production environments.
• Experience working in regulated environments with security, privacy, and compliance requirements.

Preferred Qualifications

• Experience enabling GenAI or agentic use cases on Databricks.
• Familiarity with Unity Catalog, MLflow, Vector Search, and Azure-native security patterns.
• Azure certifications (AZ 305, AI 102, AZ 500) strongly preferred.

Working Conditions:

• In office requirement, we are Flex and Connect with 2 days a week in office

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. 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, please click here.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In 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: careers.mckesson.com.

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 McKesson’s 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) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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