Executive Compensation & AI Strategy Consultant

McKesson Executive Compensation Professional

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.

Position Summary

Reporting to the Senior Director, Executive Compensation, this role will contribute to the design, analysis, administration, and continuous improvement of executive compensation programs. This includes supporting Compensation and Talent Committee preparation, executive compensation analyses, annual proxy statement deliverables, incentive plan administration, and partnership with HR, Legal, Finance, Talent Acquisition, and external advisors to ensure alignment with business strategy, governance expectations, and compliance standards.

In addition to core executive compensation responsibilities, this role will play an important part in advancing the team's AI and digital transformation efforts. The ideal candidate will bring strong financial acumen, data analytics capability, and curiosity for leveraging AI, automation, agents, Power BI dashboards, and other digital tools to streamline administrative processes, improve reporting, increase speed to insight, and help the team become more AI and digitally enabled.

This is an ideal opportunity for a compensation professional who is both technically strong and forward-thinking, with the ability to combine executive compensation expertise, business judgment, data-driven analysis, and digital innovation to support senior-level decision-making.

Key Responsibilities

• Support the design, analysis, administration, and execution of executive compensation programs, including base salary, short-term incentives, long-term incentives, equity, executive offers, promotions, separations, and related compensation actions.
• Conduct market research, benchmarking, financial modeling, and compensation analyses to inform executive-level compensation recommendations.
• Partner with HR Business Partners, Talent Acquisition, Finance, Legal, and external advisors to develop thoughtful, data-informed recommendations for executive hires, promotions, retention needs, and organizational changes.
• Support annual compensation review processes by preparing high-quality analyses, summaries, dashboards, and deliverables for senior stakeholders.
• Translate complex compensation data into clear insights, recommendations, and executive-ready materials for non-technical audiences.

• Lead and support dedicated portions of Compensation and Talent Committee material preparation for the annual meeting cycle.
• Prepare compensation analyses, executive summaries, presentation materials, data tables, and supporting documentation for committee review.
• Partner with Legal, Corporate Governance, Finance, and external advisors to ensure committee materials are accurate, timely, well-structured, and aligned to business priorities.
• Identify opportunities to improve committee preparation through automation, standardized templates, digital workflows, Power BI reporting, and AI-enabled content or data support.

• Contribute to and lead assigned sections of the executive compensation content within the company's annual proxy statement.
• Draft assigned tables, graphics, narratives, and compensation disclosures in close partnership with Legal and Corporate Governance.
• Support data validation, disclosure accuracy, and consistency across executive compensation materials.
• Use analytical tools, data visualization, and process automation where appropriate to improve accuracy, efficiency, and repeatability in proxy preparation.

• Support the design, administration, modeling, and operational execution of short-term and long-term incentive plans.
• Support year-end results modeling, payout processes, and Management Incentive Plan deliverables.
• Assist in evaluating incentive plan implications related to mergers, acquisitions, divestitures, organizational changes, and executive transitions.
• Partner on plan communication and education efforts to increase understanding, consistency, and adoption across stakeholder groups.
• Identify ways to modernize plan administration through improved data workflows, AI-enabled task automation, dashboards, and digital reporting tools.

• Serve as a digital advocate within the Executive Compensation team by identifying opportunities to automate recurring administrative tasks, reporting processes, data validation activities, and manual workflows.
• Explore and apply AI-enabled tools, digital agents, Microsoft Copilot, Power BI dashboards, Excel automation, and related technologies to improve team efficiency, accuracy, and scalability.
• Partner with team members to assess current processes and recommend practical AI/Digital solutions that reduce manual effort and improve speed to insight.
• Build, enhance, or support Power BI dashboards and data visualization tools to improve visibility into executive compensation metrics, incentive plan data, committee preparation, and recurring compensation deliverables.
• Help increase the team's AI and digital fluency by sharing ideas, best practices, and practical use cases that support a more modern, data-driven operating model.
• Maintain curiosity around emerging AI, automation, analytics, and digital workplace tools that can strengthen the team's effectiveness and stakeholder support.

Critical Skills and Experience

• 7+ years of compensation, executive compensation, finance, data analytics, HR analytics, or related professional experience.
• Strong analytical, financial modeling, and data interpretation skills, including comfort working with large datasets.
• Strong financial acumen with the ability to understand business drivers, incentive plan mechanics, compensation cost implications, and executive-level decision-making.
• Experience using Excel for advanced analysis, modeling, data validation, and compensation-related reporting.
• Experience with Power BI, dashboards, data visualization, reporting automation, or digital analytics tools strongly preferred.
• Demonstrated curiosity and practical knowledge of AI, automation, digital agents, Microsoft Copilot, or related tools that improve efficiency, reporting, and business processes.
• Ability to identify manual or repetitive processes and translate them into practical automation, dashboard, or AI-enabled solutions.
• Familiarity with executive compensation design, governance, regulatory requirements, SEC disclosure, proxy advisors, or related executive compensation practices.
• Ability to synthesize complex data and communicate insights clearly to senior leaders and non-technical stakeholders.
• Strong project management, prioritization, attention to detail, and ability to deliver high-quality work in a fast-paced environment.
• Collaborative, consultative style with the ability to partner effectively across HR, Legal, Finance, Talent Acquisition, Corporate Governance, and external advisory teams.
• Forward-thinking mindset with an interest in helping a team become more AI-enabled, digitally savvy, and data-driven.

Preferred Qualifications

• Experience supporting executive compensation programs, incentive plan design, proxy statement preparation, or Compensation Committee materials.
• Background in compensation, finance, consulting, HR analytics, people analytics, data analytics, or business intelligence.
• Experience building or supporting Power BI dashboards, Excel-based automation, data visualization tools, process improvement solutions, or AI-enabled workflows.
• Exposure to AI tools for efficiency, analysis, content support, workflow optimization, or data insights.
• Experience working with senior stakeholders and preparing executive-ready analyses, presentations, and recommendations.
• Strong interest in continuous improvement, digital transformation, and practical AI adoption within a corporate function.

Education

• Bachelor's degree required. MBA, finance, analytics, human resources, business, or other advanced degree preferred.

Certifications/Licensure

• CCP, CECP, or related compensation, analytics, finance, or HR certification preferred.

Physical Requirements

• General office demands

Travel

• Travel less than 10%

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.

Our Base Pay Range for this position

$111,100 - $1