AI/ML Lead - Pricing

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 recruiting for an AI/ML Lead – Pricing to join our team!

McKesson's AI/ML Lead Pricing will be responsible for building Pricing AI/ML solutions to deliver incremental business value, through improved operational efficiencies and enhanced business effectiveness. Engage in rapid solution architecture and prototyping of data science models, working closely with internal business partners to quickly transform concepts into actionable insights that clearly illustrate potential incremental business value.

Key Responsibilities:

Exploratory Analysis and Data Wrangling:

• Identify critical data points aligned with business objectives.

• Assess data quality and integrity using statistical testing, ensuring readiness for rapid experimentation.

• Apply modeling techniques to extract insights, identify patterns, and detect anomalies.

• Communicate insights effectively through visualization, aligning the data story with business stakeholders while highlighting potential risks or roadblocks for further experimentation.

Rapid Experimentation Enablement:

• Lead and facilitate collaborative sessions with internal business partners to brainstorm, define, and refine analytics solution requirements.

• Identify optimal modeling techniques that balance time efficiency and computational efficiency based on business needs.

• Develop rapid prototype analytics solutions, including but not limited to statistical testing, machine learning, deep learning, simulation, operations research, and reinforcement learning, while evaluating development effort and computing costs.

Business impact valuation:

• Quantify business impact using hypotheses and assumptions.

• Evaluate scalability of experiments to production-ready products or enterprise-level solutions.

• Estimate complexity and ROI, balancing time, resources, and potential business value.

• Identify opportunities for reuse, enabling broader adoption of experimental insights across the enterprise.

Collaboration & Stakeholder Engagement:

• Work closely with AI researchers, data analysts, data engineers, data scientists, product teams, and leadership to align on data/infrastructure readiness, business objective, solution architecture, experiments, measure of success

• Communicate technical insights to non-technical stakeholders, ensuring clarity and impact.

• Foster a data-driven culture by promoting digital mindset and AI-Data driven decision making

Business Experience

• Experience in leveraging advanced econometric modeling and statistical techniques (e.g., price elasticity analysis, conjoint analysis, regression, market basket analysis, time series forecasting) to extract actionable pricing insights and drive revenue optimization strategies

• Proven expertise in rapid price testing methodologies, enabling data-driven price point validation across diverse customer segments.

• Facilitate collaborative sessions to develop sophisticated pricing models that balance market share, margin, and competitive positioning

• Partner with executive leadership to translate pricing analytics into corporate strategy, demonstrating quantifiable impact on revenue and profitability. Proven ability to address complex pricing challenges from initial data assessment through implementation and performance measurement

Minimum Requirements

Typically requires 10+ years of relevant experience

Critical Skills

• 10+ years data science / analytics / programming experience based on combination of industry and academic experience.

• Extensive experience in econometrics, with demonstrated expertise in pricing analytics leveraging advanced analytics and AI

• Extensive hands-on experience with cash flow optimization algorithms, liquidity management frameworks, and dynamic cash forecasting models

• Demonstrated expertise in designing and implementing working capital improvement strategies across enterprise operations

• Demonstrated experience in implementing AI solutions to improve financial processes and reduce risk/losses

Education

• Bachelor’s degree in a technical field such as: Operations Research, Computer Science, Statistics, Applied Mathematics, Engineering or related quantitative / STEM majors (or equivalent work experience). Master’s and/or PhD preferred OR equivalent experience.

Working Conditions:

Environment (Office, warehouse, etc.) –

• Traditional office environment.

• Large percent of time performing computer based work is required

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

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!