Job Description

Job Description

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.

McKesson Medical Surgical is seeking a Sr. Technical Product Manager to join our Data and Advanced Analytics team in the Richmond, VA area. The Data and Advanced Analytics (DAAA) team transforms data into a competitive advantage for McKesson Medical Surgical.

Reporting to the Director, AI Product Management, the Sr. Technical Product Manager will lead the roadmap and execution for AI and digital transformation of business functions such as Sales & Marketing, Operations & Supply Chain Management, Master Data Management, Finance and Accounting, and Fraud. This is a dynamic role requiring exceptional experience in technical product management, subject matter expertise in a business function, leadership, project management, and communication to bring an idea to life.

Candidates must be based in or near Richmond, VA, as frequent onsite meetings and in-person collaboration are essential to this role.

Responsibilities:

• Be a trusted business partner . Be the trusted AI/ML and GenAI transformation business partner to functional stakeholders such as Sales & Marketing, Operations & Supply Chain Management, Master Data Management, Finance and Accounting, and Fraud. Represent the DAAA team and manage stakeholder communications with executive sponsors, business owners, and end-users. Work with the Director of AI Product Management on all communications.
• Be a functional subject matter expert . Be the functional subject matter expert drawing upon best practices gleaned from previous work experiences and industry sources. Stay updated on trends in functional area.
• Be a technical subject matter expert . Stay updated on industry trends and emerging AI/ML and GenAI technologies and how they can be used to build competitive advantages for one or more business functions. Serve as primary SME on AI/ML and GenAI technologies – such as Agentic AI, RAG & LLM, chatbot, OCR, and so on - to lead data product ideation.
• Have a vision . Develop a vision for AI and digitization for one or more business functions. Build, maintain, and execute a roadmap to achieve vision. Achieve or exceed annual performance targets.
• Develop great data products . Lead multiple concurrent data product use cases through product management lifecycle, including ideation, design, development, deployment, and adoption. Lead ideation by combining deep subject matter expertise in business function and latest concepts in AI. Collaborate with data governance team to ensure legal and regulatory compliance. Identify and align stakeholders on financial valuation models and performance targets. Lead exploratory data analysis using SQL in Snowflake or Databricks as necessary. Contribute to solution architecture and solution design. Collaborate with IT to ensure production-quality operations. Collaborate cross-functionally and deliver data products on time according to roadmap. Manage user adoption to achieve performance targets.
• Raise the standards . Serve as a role model of technical product management best practices. Contribute to departmental best practices in technical product management of AI and digitization.

Minimum Requirements:

• Degree or equivalent and typically requires 7+ years of relevant experience.

Qualifications:

• 7+ years of progressive experience in data-related roles, including:
  • 2+ years hands-on experience in SQL, scripting (python, Databricks, or equivalent), and solutions architecture. Knowledgeable on SQL and NoSQL databases, data warehouses and data lakes,
  • 2+ years data analysis using Tableau, Power BI, or any non-Excel analysis tool,
  • 2+ years data product management and using project management tools such as a Kanban board in Jira or similar tool in an agile development environment,

• 7+ years of demonstrated experience at least one of: sales and marketing for B2C company, operations and supply chain management, master data management, finance and accounting, and fraud.
• 5+ years of experience as a technical product manager writing product requirements and acceptance criteria. Working experience in Confluence preferred.
• Master's degree in business administration, operations research, finance, or AI preferred
• Demonstrable experience in AI/ML concepts such as Agentic AI, RAG and LLM, chatbot, OCR, and so on.
• Demonstrated track record of developing, maintaining, and communicating a project roadmap.
• Superior communication and presentation skills. The ability to communicate effectively with both technical and non-technical audiences is essential.
• Demonstrated experience formulating and maintaining ROI models on data products.

• Prior work experience in manufacturing and distribution is helpful, especially in healthcare supply.

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.

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