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Measurement Lead- AI Acceleration & Adoption

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Yum! Brands
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 99200 - 116700 USD Yearly USD 99200.00 116700.00 YEAR
Job Description & How to Apply Below

The Measurement Lead- AI Acceleration & Adoption plays a critical role in accelerating Yum’s enterprise AI transformation. This role supports the Enterprise AI function by expanding the impact of the AI Academy, driving AI readiness across brands and functions, and partnering with teams to identify and automate high-value workflows using Yum’s proprietary Crave AI agent factory.

As a highly structured thinker and influential collaborator, you will help scale AI literacy, champion new tools and capabilities, and guide end-to-end automation initiatives that improve productivity, decision quality, and operational speed. This role operates with high autonomy, works across diverse stakeholders, and delivers outcomes that meaningfully shape Yum’s AI maturity.

Qualifications
  • 3–5+ years in roles such as strategy, operations, AI/tech enablement, consulting, product, or change management
  • Ability to distill complex, ambiguous problems into clear, actionable frameworks
  • Ownership mindset with a track record of taking initiatives from concept to execution
  • Strong workflow analysis, process-design, and operational problem-solving skills
  • Excellent written and verbal communication, including executive‑ready storytelling
  • Comfort with modern AI tools and a commitment to staying current on emerging technologies
  • Change‑management and training expertise, including driving adoption, enabling users, and supporting behavioral/operational shifts
  • Strong interpersonal skills, with a reputation for building trust quickly and effectively
Preferred Qualifications
  • Experience in transformation, learning & development, product operations, or AI enablement programs.
  • Familiarity with workflow automation tools, prompt engineering, or LLM-based systems (not required, but helpful).
  • Exposure to QSR, retail, or large-scale operational environments.

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.

Responsibilities

AI Academy Enablement & Enterprise Adoption
  • Grow enterprise AI Adoption and champion communities that amplify usage across brands, functions, and markets
  • Maintain and evolve the AI Academy, ensuring development paths remain current with the rapid pace of AI advancements
  • Identify, evaluate, and introduce emerging AI tools and features that materially improve employee productivity
  • Support the design and delivery of learning content, playbooks, and enablement sessions that strengthen enterprise AI fluency
Workflow Mapping & Enterprise AI Automation
  • Partner with functional teams to map end-to-end workflows, uncover pain points, and identify opportunities for agent-driven automation
  • Translate business needs into structured requirements for Crave AI agent builds, ensuring clarity across engineering, product, and operations teams
  • Manage the full lifecycle of automation projects - from scoping and requirements to pilots, rollout, and iteration
  • Create artifacts, demos, and storytelling materials that articulate value and progress
  • Establish repeatable processes, templates, and best practices to scale workflow discovery and automation across the enterprise
Cross-Functional Influence & Collaboration
  • Build strong relationships across technology, operations, learning, brand teams, and global markets
  • Drive alignment and decision‑making through strong communication, structured thinking, and problem‑solving
  • Serve as a trusted partner to teams adopting new AI tools, offering guidance, troubleshooting, and clarity during change
  • Help cultivate a culture of experimentation, continuous learning, and AI‑first ways of working
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