McKesson · 14 hours ago
Technical Program Manager – AI/ML Initiatives
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. The Technical Program Manager will lead enterprise-scale AI/ML programs by defining strategic roadmaps, orchestrating cross-functional collaboration, and ensuring delivery excellence while driving innovation and maintaining compliance and governance standards.
BiopharmaBiotechnologyHealth CareInformation TechnologyPharmaceutical
Responsibilities
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
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
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)
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
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)
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
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
Qualification
Required
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
Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications
Preferred
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
Benefits
Competitive compensation package
Annual bonus
Long-term incentive opportunities
Company
McKesson
McKesson distributes medical supplies, information technology, and care management products and services.
H1B Sponsorship
McKesson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (129)
2023 (82)
2022 (142)
2021 (144)
2020 (154)
Funding
Current Stage
Public CompanyTotal Funding
unknown1994-11-18IPO
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