Lead FinOps Analyst

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.

The Lead Fin Ops Analyst - Optimization & Automation is a senior-level individual contributor responsible for driving enterprise-wide cloud cost optimization, value realization, and automation maturity within McKesson's Fin Ops operating model. This role leads the identification, prioritization, and governance of cloud optimization initiatives, ensures accurate validation and reporting of realized savings, and enables the transition from manual Fin Ops activities to scalable, policy-driven, automated processes
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The role operates with a high degree of autonomy and strategic influence, partnering closely with Engineering, Platform, Finance, and Fin Ops Engineering teams to deliver measurable financial and operational outcomes. The Senior Fin Ops Analyst is accountable for ensuring optimization efforts align with enterprise financial targets, governance standards, and long-term platform strategy.

• Lead the identification, prioritization, and execution oversight of cloud cost optimization opportunities across enterprise cloud services
• Own the end-to-end optimization lifecycle
  , including recommendation development, execution tracking, and validation of realized financial savings
• Drive usage optimization, pricing optimization, and commitment-based savings initiatives aligned with enterprise financial objectives
• Establish and maintain auditable savings tracking
  , optimization KPIs, and performance metrics to support transparency, governance, and leadership reporting
• Ensure optimization outcomes are measurable, repeatable, and aligned with Fin Ops best practices

• Define functional requirements for optimization automation capabilities and partner with Engineering teams on solution design and implementation
• Enable standardized,
  policy-driven optimization workflows that reduce reliance on manual analysis and intervention
• Track and report on reductions in manual effort, increased optimization coverage, and time-to-value achieved through automation adoption
• Contribute to the evolution of Fin Ops automation strategy, balancing near-term efficiency gains with long-term scalability

• Serve as the functional owner and administrator for Fin Ops platforms and cloud cost management tools
• Manage tool configurations, allocation logic, dashboards, KPIs, reporting structures, and user access controls
• Partner with Fin Ops Engineering and Platform teams on integrations, enhancements, and automation initiatives, while retaining accountability for functional accuracy and business outcomes
• Ensure Fin Ops platforms support auditability, traceability, financial governance, and compliance standards
• Identify gaps, enhancement opportunities, and roadmap priorities for Fin Ops tools, dashboards, and reporting capabilities

• Provide clear, data-driven insights to enable informed decision-making, financial accountability, and optimization adoption across the enterprise
• Collaborate with Engineering, Platform, Finance, and business stakeholders to drive execution, influence prioritization, and resolve optimization blockers
• Present optimization performance, savings outcomes, and trends to governance forums and senior leadership
• Support ongoing governance processes, KPI reviews, funding discussions, and executive reporting as required

• Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications.

• 5-8+ years of experience in Fin Ops, cloud financial management, cloud cost optimization, or related disciplines
• Demonstrated hands-on experience delivering cloud cost optimization initiatives with measurable, validated savings outcomes
• Strong analytical and problem-solving skills, with the ability to translate technical findings into clear business and financial impact
• Proven experience working cross-functionally with Engineering, Platform, and Finance teams in complex enterprise environments
• Experience designing or supporting Fin Ops optimization automation workflows
• Familiarity with enterprise Fin Ops operating models, governance structures, and tooling ecosystems
• Fin Ops Practitioner certification or equivalent professional experience

• Operates independently…