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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.
Summary
Lead enterprise-scale AI/ML programs by defining strategic roadmaps, orchestrating cross-functional collaboration, and ensuring delivery excellence. Drive innovation while maintaining compliance and governance standards.
What You’ll Do
Program Leadership & Road Mapping: Define and own the end-to-end roadmap for AI/ML initiatives, translating business objectives into actionable programs (e.g., demand forecasting models, LLM-driven chatbots, predictive analytics). Manage intake of new requests, validate business value, and ensure alignment with strategic priorities. Use portfolio tools (Jira, Confluence, MS Project, Smartsheet) to maintain visibility and alignment from ideation through deployment.
Cross-Functional Orchestration: Coordinate collaboration among data scientists, ML engineers, data engineers, business analysts, and IT teams. Ensure seamless integration of models into production systems via APIs, cloud ML services, and CI/CD pipelines.
Execution & Delivery Management: Oversee day-to-day delivery using Agile practices (Scrum, SAFe, Kanban). Manage sprints, backlogs, and dependencies in Jira/Confluence. Identify risks (data gaps, performance issues, infrastructure bottlenecks) and implement mitigation strategies. Enforce testing standards (unit tests, model validation, A/B testing, benchmarking).
Business Alignment & Stakeholder Management: Translate business use cases into technical AI/ML requirements. Partner with leaders to define KPIs (accuracy, ROI, adoption). Provide executive-level updates and manage expectations while balancing speed, compliance, and ethics.
Governance & Compliance: Ensure adherence to frameworks (HIPAA, GDPR, SOC 2, FDA). Promote Responsible AI principles (fairness, transparency, explainability). Maintain documentation, data lineage, and reproducibility. Standardize MLOps governance (model versioning, drift monitoring, automated retraining).
Metrics & Reporting: Define and track KPIs across technical and business dimensions (accuracy, precision/recall, F1 score, ROI, cost reduction). Provide transparent reporting on portfolio health and program success.
Innovation Enablement: Drive adoption of emerging technologies (Generative AI, LLMOps, AutoML). Collaborate on modernizing ML stack (Databricks, Vertex AI, Azure ML). Promote accelerators (code libraries, pre-trained models, standardized pipelines) to reduce time-to-market.
What You Bring
- Proven experience in technical program management for AI/ML initiatives.
- Strong understanding of Agile methodologies and portfolio management tools.
- Expertise in AI/ML technologies, MLOps practices, and cloud platforms.
- Ability to translate business objectives into technical deliverables.
- Excellent stakeholder management and communication skills.
Minimum Requirements
- Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.
Preferable Skills & Experience
- Familiarity with regulatory compliance for AI/ML (HIPAA, GDPR).
- Experience with Generative AI, LLMOps, and AutoML.
- Knowledge of advanced ML platforms (Databricks, Azure ML, Vertex AI).
- Strong background in risk management and governance for AI systems.
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 McKesson's 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, please click here.
Our Base Pay Range for this position
$113,500 - $189,100McKesson 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.
United States