Lead Technical Product Manager - Finance AI

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The Lead Technical Product Manager (TPM) for AI for Oncology & Multispecialty (O&M) Finance will drive the strategy, development, and execution of AI‑powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&M Finance. This role blends product strategy, technical depth, agile leadership, and cross‑functional influence - operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI‑enabled finance capabilities, translate business needs into high‑impact product features, and guide teams to deliver scalable digital solutions that improve top‑line and bottom‑line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority.

Key Responsibilities:

Product Ownership & Execution

• Own and evolve the AI for O&M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes.

• Convert ambiguous business problems into well‑defined project charters, success metrics, user stories, and technical requirements.

• Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities.

• Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics

• Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk.

• Define and evolve the technical implementation roadmap in partnership with data science and engineering

Technical Collaboration

• Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards.

• Participate in sprint planning, standups, and retrospectives to promote on-time delivery.

• Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design.

Stakeholder Engagement

• Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities.

• Regularly uses immediate customer feedback loops, incorporating customer & user feedback into the prioritization of current product feature expansion, and new product development.

• Support customer discovery and usability testing to inform product decisions.

Project and Financial Management

• Own financials for the program, including budget adherence and ROI analysis.

• Monitor project KPIs, risks, and resource allocation; report progress to leadership.

Communication and Documentation

• Communicate progress, risks, and dependencies to cross-functional teams and executive audiences.

• Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams.

• Create and maintain product documentation, including technical specs, release notes, and user guides.

Minimum Requirement:

• Degree or equivalent and typically requires 10+ years of relevant experience

Critical Experience/Skills:

• 10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI.

• Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation.

• Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices.

• Proven experience working with and influencing highly matrixed teams.

• Proven ability to build financial business cases and justify product investments.

• Excellent communication, leadership, and stakeholder management skills.

Additional Experience/Skills:

• Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus.

• Experience with financial modeling

• Optional but advantageous: oncology or healthcare revenue cycle management.

• The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc.

• Bachelor's or Master's degree (in Computer Science, Information Systems, MBA in Finance or related field preferred).

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

$136,300 - $227,100

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