Yum! Center for Global Franchise Excellence

Director, Digital Analytics

Yum! Center for Global Franchise Excellence

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $160,400 - $207,680 per year

Job Level

Lead

Tech Stack

CloudPythonSQL

About the role

  • Lead an analytics organization covering Digital, Loyalty & CRM Analytics, and Digital Analytics Engineering.
  • Define the digital analytics strategy for PH US while supporting global scale opportunities.
  • Establish repeatable frameworks, playbooks, and dashboards that drive scalable influence across markets.
  • Drive the Explore → Estimate → Evaluate → Experiment loop, turning raw data into hypotheses and validated learnings.
  • Serve as an analytics ambassador to senior leadership, franchisees, and cross-functional partners—explaining drivers, opportunities, and tradeoffs.
  • Shape Tech Governance Committee and other executive forums with data-driven narratives.
  • Deliver weekly, monthly, and quarterly executive-ready analytics summaries that tell the story of digital performance and its drivers.
  • Oversee event taxonomy, tagging, SDK instrumentation, and QA processes across web and app platforms.
  • Partner with Engineering to ensure continuity, consistency, and scalability of analytics implementation across markets.
  • Lead, coach, and develop a growing team of managers, analysts, and engineers across the US and global hubs.
  • Redesign RACIs to ensure business owners are accountable for outcomes while analytics delivers curated insights.
  • Manage vendor relationships and evaluate MarTech/BI platform costs vs. benefits.

Requirements

  • 8+ years of work experience managing analytics teams, working collaboratively with Product, Engineering & Digital Marketing teams, and guiding data-informed product planning, prioritization, and strategy development.
  • Proven experience influencing strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses.
  • Strong coding experience in one (or more) data programming languages like Python/R.
  • Knowledge of and experience with large cloud-based data platforms such as Snowflake, SQL, GA4 / Amplitude, CDP’s and event-stream architecture.
  • Strong product and UX intuition with the ability to spot and quantify friction points in digital journeys.
  • Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.
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