Lead Program Manager, Oncology and Multi Specialty Technology Strategy

McKesson’s Corporate; Mississauga; Hybrid; CAD 170,000 - 226,000; Full time

Job summary

McKesson is seeking a Lead Program Manager for Oncology and Technology Strategy to drive the Responsible AI governance program. The role translates policy into an executable roadmap, aligns governance priorities, and manages risks across the portfolio.

You will lead cross-functional teams including Legal, Compliance, Privacy, and IT to deliver measurable outcomes and ongoing monitoring. The position requires strong program leadership, the ability to influence without authority, and a data-driven

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• Typically 10+ years in project/program management, governance, or risk.
• Experience leading large cross-functional programs with high impact.

Responsibilities

• Lead end-to-end AI Use Case governance lifecycle with intake, triage, reviews, and monitoring.
• Coordinate with sponsors, align priorities, and manage high-visibility issues.
• Establish governance structure, SLAs, and delivery standards.
• Prepare RAIB sessions and ensure decision-ready materials are documented.
• Build cross-functional relationships and influence without direct authority.
• Develop executive dashboards and portfolio reporting to show business value.

Skills

Program leadership

Stakeholder influence

Cross-functional collaboration

Analytical thinking

Digital fluency

Executive communication

Education

Bachelor's degree or equivalent

Tools

Smartsheet

Power BI

Excel

Job description

Position Summary

The Lead Program Manager, Oncology and Technology Strategy leads the operational delivery and continued maturation of McKesson's Responsible AI Board (RAIB) governance program within the Oncology and Technology Strategy organization. The role translates Responsible AI policy, RAIB Charter requirements, and business priorities into an executable program roadmap, governance structure, operating cadence, service-level expectations, and measurable outcomes. Partnering with business and technology leaders, Responsible AI Owners, Legal, Compliance, Privacy, Information Security, Architecture, Data, and other control functions, this role manages the full AI Use Case lifecycle across multiple related governance activities. The Lead Program Manager drives cross-functional alignment, manages program-level risks and dependencies, resolves escalated issues, and maintains visibility into portfolio health, decision quality, control implementation, and ongoing monitoring. This is a hands‑on program leadership role with accountability for program outcomes rather than only process administration. Success requires the autonomy to lead complex work, influence without direct authority, establish scalable standards, challenge inefficient ways of working, and use analytics and automation to strengthen executive decision-making.

Key Responsibilities

Program Leadership and Strategic Alignment

Break down Responsible AI program objectives into measurable business and technology outcomes, and maintain a program roadmap that translates governance requirements into executable plans, milestones, deliverables, and success measures. Lead the end-to-end AI Use Case governance lifecycle across intake, triage, RAIB Operations quality review, RAIB and EAIC review, final decision, control implementation, and ongoing monitoring. Partner with program sponsors and senior stakeholders to align governance priorities, secure support, resolve high visibility issues, and ensure the program continues to deliver enterprise value.

Governance, Risk, and Dependency Management

Establish and maintain the program governance structure, operating cadence, decision rights, escalation paths, service-level objectives, and delivery standards consistent with McKesson's Responsible AI Program, Responsible AI Policy, and RAIB Charter. Identify, consolidate, and manage program-level risks, issues, interdependencies, and resource constraints across governance activities; develop mitigation plans, assign accountable owners, and escalate significant risks with recommended actions. Lead scope, priority, and risk trade-off discussions with stakeholders, driving consensus while preserving policy, control, documentation, and audit requirements. Ensure governance records, risk assessments, approvals, conditions, controls, and notifications are complete, accurate, timely, and audit-ready.

RAIB and EAIC Leadership

Lead preparation and execution of RAIB sessions and, when required, EAIC secondary reviews in partnership with the RAIB Operations and Governance Lead and Sr. Product Portfolio Manager. Ensure review materials enable informed decisions and that every decision, condition, action, owner, and due date is documented accurately in Smartsheet and communicated within the required response window. Serve as the first escalation path for at-risk submissions, unresolved information gaps, missed commitments, or stakeholder conflicts that could affect governance quality, cycle time, or program outcomes.

Stakeholder Leadership and Cross-Functional Collaboration

Act as a trusted program advisor to business and technology stakeholders, translating Responsible AI requirements into clear actions, decision points, and ownership expectations. Build and maintain strategic cross-functional relationships, establish effective feedback loops, and lead regular interactions with sponsors and stakeholders to inform, alert, negotiate, and drive timely resolution. Influence adoption of Responsible AI governance practices without direct authority through clear communication, consultation, education, and disciplined follow-through.

Performance, Reporting, and Business Value

Define, maintain, and report program KPIs and service-level measures, including submission volume, risk-tier trends, cycle time, backlog health, control status, decision timeliness, and stakeholder responsiveness. Develop executive-ready dashboards, scorecards, forecasts, and portfolio health reporting that convert governance data into actionable insights, risks, decisions, and improvement priorities. Work with sponsors to assess program effectiveness, stakeholder satisfaction, and realized business value; recommend adjustments that improve quality, throughput, transparency, and scalability. Use automation, analytics, and AI-enabled insights where appropriate to improve forecasting, identify emerging risks, strengthen prioritization, and reduce manual reporting effort.

Continuous Improvement and Program Maturity

Lead continuous improvement of intake questions, control inventories, risk-tiering methods, review workflows, decision documentation, and monitoring practices. Facilitate lessons learned and retrospective reviews, convert findings into owned actions, and track implementation through measurable improvement. Establish and promote Responsible AI governance standards, reusable tools, and best practices; provide guidance and mentorship to team members and partners supporting the program. Champion a digital-first governance model that embeds analytics, automation, feedback loops, and clear accountability into program operations.

Required Qualifications and Experience

• Bachelor's degree in business administration, information technology, computer science, healthcare administration, healthcare informatics, engineering, or a related field, or equivalent experience.
• Typically 10+ years of progressive experience in project or program management, technology governance, risk and compliance, portfolio delivery, business operations, or a related discipline.
• Advanced education may be considered in combination with relevant experience.
• Proven experience leading large, complex, cross‑functional programs or multiple related initiatives with critical business value, competing priorities, and substantial consequences of success or failure.
• Demonstrated success managing program roadmaps, scope, milestones, dependencies, risks, issues, resources, governance forums, and executive reporting with a high degree of autonomy.
• Experience establishing or maturing governance frameworks, delivery standards, operating models, controls, performance measures, and continuous improvement practices.
• Demonstrated ability to partner with senior business and technology stakeholders, influence decisions without direct authority, resolve conflict, and drive accountability across organizational boundaries.
• Experience using data, dashboards, automation, predictive insights, or scenario analysis to improve program visibility, prioritization, risk management, and decision quality.
• Healthcare, health technology, regulated-industry, Responsible AI, AI governance, privacy, security, compliance, or technology risk experience is strongly preferred.

Required Skills and Competencies

Advanced program management: translates strategic objectives into roadmaps, integrated plans, measurable outcomes, governance structures, and disciplined execution across multiple related initiatives. Program risk and dependency management: anticipates, consolidates, prioritizes, and mitigates complex risks, issues, constraints, and cross-functional dependencies. Stakeholder leadership and influence: builds strategic relationships, adapts communication to the audience, negotiates effectively, and creates alignment among business, technology, legal, compliance, security, privacy, data, and architecture stakeholders. Business and customer orientation: connects governance decisions and delivery priorities to business outcomes, stakeholder value, enterprise objectives, and responsible risk management. Executive communication: prepares concise, decision-ready briefings, dashboards, recommendations, and escalations for senior leaders and governance bodies. Planning and prioritization: self-directs complex work, establishes clarity of roles and decision rights, manages competing priorities, and maintains predictable delivery against commitments. Analytical problem solving: synthesizes information from multiple sources, identifies root causes, evaluates options, and implements practical solutions in ambiguous or evolving situations. Change leadership and continuous improvement: challenges stakeholder mindsets constructively, drives adoption of new practices, embeds feedback loops, and improves program maturity and scalability. Digital fluency: advanced proficiency with Smartsheet, Power BI, Excel, or comparable portfolio, workflow, reporting, and analytics platforms, including building and troubleshooting dashboards and automated reporting. Responsible handling of information: exercises sound judgment, discretion, and rigor when working with confidential, regulated, or risk-sensitive information.

Measures of Success

Responsible AI program milestones, deliverables, decisions, and control activities are completed within established service-level and response-time expectations. Program-level risks, dependencies, resource constraints, and escalations are identified early, assigned clear owners, and resolved through documented mitigation plans. The AI Use Case catalog provides an accurate, current, audit-ready view of all active submissions, decisions, conditions, controls, and monitoring obligations. RAIB and EAIC sessions are decision-ready, and outcomes, actions, owners, and notifications are documented and communicated within required timeframes. Executive dashboards and scorecards are published on schedule and provide actionable visibility into portfolio health, risk trends, cycle time, backlog, SLA performance, and business value. Continuous improvement initiatives produce measurable gains in governance quality, throughput, predictability, stakeholder experience, and scalability. Governance standards, tools, and practices are adopted consistently across the program, with clear accountability and sustained stakeholder engagement.

Working Conditions

In office requirement, we are Flex and Connect with 2 days a week in office.

Compensation and Benefits

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 $122,100 - $162,800

Equal Employment Opportunity

McKesson is an Equal Opportunity Employer. McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

Company Overview

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 have tomorrow’s health today, we want to hear from you. Join us at McKesson!