Sr. Manager, Technology Optimization

This role is crucial in shaping and advancing Yum’s enterprise FinOps capability across cloud and technology consumption globally, without compromising performance, reliability or business outcomes. The role partners across GETS, AIDA (AI & Data Analytics), BYTE, brands and markets, Finance, engineering and architecture to create transparency and accountability for technology consumption, influence long-term cost optimization and technology economics, and maximize the business value of Yum’s cloud and technology investments. This is a senior individual contributor role that drives outcomes through expertise, influence and cross-functional partnership rather than direct people leadership.

• Enterprise FinOps Strategy & Operating Model: Advance and operationalize a consistent enterprise FinOps approach across Yum, applying industry best practices and establishing governance, measures, automation opportunities and operating rhythms that improve cost visibility, accountability and optimization across cloud and technology consumption.
  

• Cloud Cost Management & Optimization: Lead analysis of cloud expenditures and consumption trends; partner with engineering, architecture and Finance to identify and implement sustainable optimization opportunities including rightsizing, commitment strategies, capacity management and architecture-informed cost improvements.

• Develop the enterprise AI FinOps strategy and roadmap. Define the future operating model, capabilities, and resource requirements to support AI financial management at scale.

• Long-Term Technology Economics: Bring cost and consumption considerations upstream into architecture, engineering and investment decisions so teams understand the long-term economic implications of technology choices before investments are made. Develop scenarios and recommendations that balance cost, performance, resilience and scalability.

• Enterprise Scale & Cross-Brand Optimization: Identify opportunities to leverage Yum’s global scale across brands and markets, reduce unnecessary cost and improve consistency where common cloud or technology approaches create enterprise value. Partner with local and functional teams to understand legitimate business requirements and enable informed tradeoffs.

• Cost Allocation & Accountability: Partner with Finance and technology stakeholders to mature tagging, allocation, showback/chargeback and shared-cost practices that create transparent ownership of technology consumption and support fair, actionable accountability across the enterprise.

• Value Optimization: Maximize the value of cloud and applicable technology investments by conducting financial modeling, scenario analysis and trend identification; translate insights into actionable recommendations and partner with accountable technology teams through implementation and benefits realization.

• Budgeting, Forecasting & Analytics: Partner with Finance and technology leaders to improve forecasting and planning for cloud and applicable technology expenses. Establish and report KPIs and dashboards that provide leaders with actionable insight into spend, consumption, forecast accuracy, optimization opportunities and realized savings.

• Cross-Functional & Commercial Partnerships: Advise Engineering, Architecture, Finance, GETS, AIDA, BYTE and brand/market stakeholders on FinOps practices. Partner with VMO and Procurement to provide consumption insights and financial analysis that inform supplier strategy and commercial decisions.

• Education: Bachelor’s degree in Finance, Business, Technology, Engineering or a related field preferred.
• Certifications: FinOps Foundation certification strongly preferred; Azure or AWS certifications are a plus.
• Experience: 8+ years of relevant experience in FinOps, cloud or technology financial management, or related fields, with a track record of driving cost optimization in complex technology environments.
  

The ideal candidate will have demonstrated experience in:

• Managing and optimizing cloud costs, with knowledge of Azure and/or AWS and FinOps tools.
• Understanding cloud architecture and engineering, and how technology decisions impact costs.
• Financial modeling, forecasting and translating complex data into actionable business insights.
• Using AI tools to improve productivity, automate processes, enhance analysis and support decision-making.
• Understanding AI consumption and cost drivers, including token usage, model pricing and opportunities to optimize AI spend.
• Identifying cost savings opportunities while balancing performance, scalability and business value.
• Influencing decisions, driving change and building partnerships across Technology, Finance and business teams in a global, matrixed organization.

Compensation range: $142,500 - $167,600 + eligible bonus + comprehensive benefits