Senior AI Strategy Analyst
About The Position
McKesson is seeking a Senior AI Product Strategy Analyst to shape and advance data, analytics, automation, and artificial intelligence products across McKesson Medical-Surgical. The role leads strategy, roadmaps, valuation, and lifecycle management for data and AI products, partnering with business stakeholders and technical teams to turn business needs into scalable solutions that improve decision-making, operational efficiency, and business value. The position connects AI and data capabilities with practical business opportunities and requires communicating effectively with technical and non-technical audiences. It covers the full product lifecycle, from ideation and business-case development through proof of concept, pilot, MVP, launch, adoption, optimization, and retirement.
Requirements
- Degree or equivalent and typically 7+ years of relevant experience.
- Experience in technical product management, AI product strategy, data product management, or a closely related area.
- Experience developing and managing product roadmaps across the product lifecycle.
- Experience defining KPIs and developing ROI, valuation, or business-case models for technology, analytics, or data products.
- Experience working with cross-functional business and technical teams.
- Working knowledge of artificial intelligence, machine learning, generative AI, large language models, analytics, or data products.
- Experience with Agile methodologies and the software or AI product development lifecycle.
Nice To Haves
- Bachelor’s degree in a STEM discipline, business administration, operations research, finance, or a related field.
- Experience with data architecture, data modeling, data warehouses, data lakes, analytics platforms, or decision science.
- Familiarity with AI governance, responsible AI, model risk, data privacy, or AI evaluation.
- Experience with MLOps, product lifecycle management, or AI-enabled software development.
- Experience in healthcare, healthcare supply chain, manufacturing, distribution, or another regulated industry.
- Strong presentation, stakeholder management, and executive communication skills.
Responsibilities
- Develop and manage data and AI product strategies and roadmaps aligned with business objectives and Data, Analytics and Automation priorities.
- Lead products through the full product lifecycle, including ideation, business case development, planning, proof of concept, pilot, MVP, launch, adoption, optimization, and retirement.
- Identify business processes and use cases that could be improved through AI, machine learning, analytics, data products, or automation.
- Define product requirements, priorities, success measures, and key performance indicators.
- Build and maintain valuation and ROI models to estimate and measure product value.
- Partner with business stakeholders to understand needs, communicate priorities, and manage expectations.
- Coordinate proofs of concept, pilots, and minimum viable products with developers, data scientists, data architects, and other technical teams.
- Align data and AI initiatives with broader organizational goals through collaboration across business and technology teams.
- Evaluate product performance, adoption, risks, and business outcomes, and recommend improvements.
- Present product strategies, technical concepts, and business recommendations to technical and non-technical audiences.
Benefits
- Competitive compensation package as part of McKesson’s Total Rewards.
- Annual bonus or long-term incentive opportunities may be offered.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
