Measurement Lead- AI Acceleration & Adoption

The Measurement Lead- AI Acceleration & Adoption plays a critical role in shaping and measuring the value of Yum's AI initiatives. This role supports the broader AI strategy agenda by managing a unified measurement approach that quantifies the impact from AI initiatives across brands, functions, and markets. In this role, you will drive insights and create executive-ready reports on the value derived from various AI initiatives.

You'll work with high autonomy, partner across diverse stakeholders, and support AI investment decisions.
1. Build and Run the AI Value Engine
* Develop, evolve, and maintain the frameworks and methods used to measure AI value - spanning financial impact, cost savings, productivity uplift, and other business outcomes across brands, functions, and markets
* Define and steward a core set of AI impact KPIs (e.g., productivity, operational performance, adoption, satisfaction, financial outcomes) 2. Turn Outcomes into Trusted Insights
* Translate productivity and operational outcomes from AI into robust, measurable impact in partnership with Finance and business leaders
* Own and improve dashboards, scorecards, and recurring reports that show how AI initiatives are performing and where value is being created
* Develop clear, executive-ready reports and visuals that cut through noise and make AI impact actionable
* Partner with tech and data teams to ensure AI solutions are instrumented in line with our measurement playbook
3. Guide Where We Bet Next
* Use measurement outputs to compare impact across initiatives, revealing high-ROI opportunities and value patterns that guide which solutions to scale, refine, or sunset
* Provide structured analysis and recommendations that inform roadmaps, funding decisions, and portfolio prioritization
* Serve as a central point of contact for AI impact measurement, aligning stakeholders on definitions, methods, and standards
* 3-5+ years of experience in analytics, strategy, finance, consulting, data science, or a related quantitative role with a focus on measurement, performance, or impact *

Proficiency in SQL with experience querying large datasets from cloud data warehouses (e.g., Snowflake, Big Query , Redshift) to support measurement and impact analysis *

• Experience working with modern analytics and data transformation tools (e.g., dbt , Python/R, Jupyter , Git-based workflows) to prepare, validate, and automate metrics pipelines *
• Proven ability to bring structure and rigor to complex topics and to enhance existing frameworks and processes *
• Comfort working with AI concepts and tools; eagerness to stay current on emerging practices in AI measurement and productivity Salary Range: $99,200 - $116,700 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.