Sr. Director, Pricing Transformation and AI Enablement

McKesson•Irving, TX

13h•Onsite

About The Position

The Sr. Director, Pricing Transformation and AI Enablement leads the strategic modeling and enterprise transformation of pricing across McKesson, leveraging advanced analytics, data, and AI capabilities. This role partners closely with the Chief Data and AI Officer to translate complex commercial and operational pricing challenges into measurable, data-driven decisions that drive margin and business performance. Serving as a senior bridge between Pricing, Sourcing, Distribution, and technical AI/data teams—as well as governance partners including Legal, Privacy, and Cybersecurity—this role ensures pricing initiatives are commercially impactful, compliant, and aligned with enterprise priorities. This role operates initially as an individual contributor, delivering results through matrixed data science, engineering, and analytics teams, with the expectation to evolve into a leadership role building enterprise pricing analytics capabilities as McKesson’s AI transformation matures.

Requirements

15+ years of experience translating complex commercial problems—particularly in pricing and revenue management, into analytics or AI-driven solutions at enterprise scale
Prior experience in pricing within a large, complex enterprise environment
Advanced degree in a quantitative field (e.g., Operations Research, Statistics, Economics, Applied Mathematics)
Deep expertise in quantitative modeling techniques, including machine learning (classification, regression, clustering, neural networks), optimization, and simulation
Demonstrated ability to lead and deliver results through influence in a highly matrixed environment
Strong track record of tying business initiatives to measurable financial outcomes, including incremental margin and quantified ROI
Ability to translate complex analytical findings into clear, actionable insights for both technical and executive audiences
Experience shaping AI strategy and governance, with ability to operate as a trusted advisor to senior leadership

Nice To Haves

Experience with enterprise-scale data and AI platforms (e.g., Databricks, Snowflake)
Working knowledge of Python or SQL to effectively engage with technical teams
Experience in pharmaceutical distribution, healthcare, or other regulated, high-volume industries
Exposure to GenAI or agentic AI use case development

Responsibilities

Partner with Pricing, Sourcing, and Finance leadership to prioritize and scope high-value pricing opportunities, including large deals, discount optimization, and revenue management at scale
Lead the design of AI- and analytics-driven pricing models across the full margin lifecycle (acquisition cost, resale pricing, and distribution economics)
Identify opportunities where advanced modeling and data insights can drive incremental margin performance
Define, track, and communicate financial outcomes of pricing initiatives, ensuring clear and attributable ROI
Identify and prioritize AI and GenAI use cases across the pricing value chain
Translate business challenges into well-defined analytical opportunities, balancing competing objectives and securing stakeholder alignment
Serve as a senior cross-functional liaison to ensure pricing initiatives meet compliance and ethical standards in partnership with Legal, Privacy, and Cybersecurity
Advise business leaders on value, feasibility, and risk trade-offs to enable adoption of data- and AI-driven pricing strategies
Drive alignment across business, technical, and governance stakeholders to enable scalable pricing transformation
Influence senior leaders and stakeholders to adopt new data-driven decision frameworks
Deliver through matrixed teams without direct authority, ensuring execution across multiple functions