AI/ML Lead, Cash Management

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 – Cash Management  to join our team!

McKesson's AI/ML Lead – Cash Management will be responsible for building Cash Management 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 and finance 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

• Leverage advanced financial modeling and statistical techniques (e.g., cash flow forecasting, variance analysis, regression, time series analysis, Monte Carlo simulation) to extract actionable insights and drive strategic cash management decisions

• Lead rapid cash flow scenario analyses, enabling data-driven working capital optimization across diverse business units. Facilitate collaborative sessions with Treasury, Finance, and Operations teams to develop sophisticated cash forecasting models that balance liquidity needs, investment opportunities, and financial risk

• Leverage artificial intelligence to improve and/or reimagine financial process in a large-scale organization

• Partner with executive leadership to translate cash flow analytics into corporate strategy, demonstrating quantifiable impact on financial performance. Proven ability to address complex cash management 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 hands-on experience with cash flow optimization algorithms, liquidity management frameworks, and dynamic cash forecasting models