Sr. Director, Enterprise AI Lab

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.

Current Need

We are looking for  a Sr Director, Enterprise AI Lab to lead McKesson's newly formed AI Rapid Experimentation team, that functions like a dynamic AI lab driving innovation and business transformation. As the leader of this team, you'll spearhead the "fail fast, learn fast" approach to swiftly vet and deploy high-impact AI opportunities across the enterprise.

This team serves as a shared enterprise capability, propelling McKesson to the forefront of AI-led value delivery by rapidly testing, iterating, and refining solutions that align with our strategic goals. Join us to accelerate innovation and redefine the future of healthcare.

Key Responsibilities:

Lead Rapid Experimentation Strategy & Execution

• Spearhead the global AI rapid experimentation program, aligning AI initiatives with enterprise-wide objectives by directly influencing senior global business executives, including CIOs and BU vertical heads.

• Develop and implement a structured approach for rapid experimentation, including hypothesis creation, testing methodologies, and success metrics.

• Establish processes for quick evaluation of AI/ML opportunities, determining business feasibility within tight timeframes.

• Balance quick wins with strategic longer-term initiatives through a portfolio management approach.

• Collaborate with the rapid experimentation product team and other technology teams to deliver clear outcomes and strategic next steps to senior business leaders across all units.

Drive Business Value Identification & Validation

• Work with senior leadership to identify and validate transformative AI/ML use cases.

• Implement rapid validation techniques to assess potential business impact prior to significant investment.

• Develop methods to translate experimental results into financial impact projections.

Build & Lead High-Performance Team

• Assemble and lead a dynamic team of AI experts and data scientists, fostering a culture of agility, innovation, and strategic risk-taking.

• Encourage a culture of speed balanced with rigor, promoting calculated risk-taking and learning from failures.

• Implement agile team structures to pivot quickly between diverse business problems and domains.

Establish Technical Excellence & Innovation

• Develop lightweight, reusable technical frameworks for rapid prototyping across various AI/ML domains.

• Ensure quick data access and preparation for experimentation while maintaining compliance.

• Stay at the forefront of emerging AI/ML techniques and technologies relevant to business challenges.

Facilitate Knowledge Transfer & Scaling

• Create processes to transition successful experiments to production implementation teams.

• Develop knowledge repositories and documentation standards to capture learnings from all experiments.

• Establish communities of practice to share techniques and insights across the organization.

Measure & Communicate Impact

• Implement metrics to track experimental throughput, success rates, and business impact.

• Develop compelling narratives and visualizations to communicate complex findings to executives.

• Provide transparent reporting on the experimentation pipeline and portfolio performance.

Minimum Requirements

Typically requires 13+ years of professional experience and 6+ years of diversified leadership, planning, communication, organization, and people motivation skills (or equivalent experience).

Critical skills

• 13+ years in data science and advanced analytics, with extensive experience in strategic leadership and transformation initiatives.

• 8+ years of aggregate hands-on experience in running data science and AI/ML experimentation with proven expertise in forecasting, segmentation, simulation, and optimization.

• Demonstrated ability to quickly identify