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Senior Director, Data and Analytics

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Church's Texas Chicken
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Founded in San Antonio, Texas, in 1952, Church's Texas Chicken is a highly recognized brand name in the Quick Service Restaurant industry and is one of the largest quick service chicken concepts in the world. Church's Texas Chicken serves up a rich tradition of gracious Southern hospitality and freshly prepared, high quality, authentic home-style fare, to help people provide affordable, complete meals for their families.

Church's menu includes its world famous Original and Spicy chicken, Tender Strips and chicken sandwiches with classic sides and hand‑made from scratch honey‑butter biscuits. The Church's system consists of more than 1400 locations in 25 countries and system‑wide sales of $1.8 billion. Throughout the world the company operates two brands:
Church's Texas Chicken and Texas Chicken.

Job Title

Senior Director, Data and Analytics

Reports to

EVP, Chief Commercial Officer

Department

Marketing

Job Summary

The Sr. Director, Data and Analytics leads the data and analytics function at Church's Texas Chicken, converting transaction, guest, digital, and financial data into commercial intelligence that drives measurable P&L impact. An AI-forward analytics leader who builds and operationalizes a modern capability spanning rigorous statistical methods, machine learning, generative AI, and self‑service tools — holding all AI-generated outputs to a standard of provable correctness before they inform commercial decisions.

Reports to the EVP, Chief Commercial Officer. Partners closely with Marketing, Finance, Operations, and Franchise teams. Leads an analytics team and may coordinate external data science resources and agency partners.

Key Duties / Responsibilities
  • Lead executive and board-level analytics narratives — connecting transaction, guest, digital, and financial data into clear commercial stories — augmented by AI-generated signals that are validated and provably correct before reaching leadership.
  • Institutionalize A/B testing, causal inference, and AI-powered forecasting models that optimize promotions, media, digital, and loyalty programs; govern an experimentation platform with rigorous standards for test design and result interpretation.
  • Build and deploy machine learning and generative AI solutions — including predictive models, recommendation engines, and LLM-powered analytics tools — with validation frameworks that ensure outputs are accurate, reproducible, and auditable in production.
  • Design and deliver self‑service dashboards, AI-assisted playbooks, and training that empower team members to answer 80% of business questions independently, with AI-generated recommendations clearly confidence-scored and traceable to underlying data.
  • Build enterprise data literacy — training commercial, marketing, and franchise teams to interpret AI outputs, recognize model limitations, and know when to elevate for deeper human analysis.
  • Serve as the primary analytics liaison to the CCO and commercial leadership, translating data and AI insights into “so-what / now-what” actions, aligning on KPIs, and communicating AI-generated recommendations with the confidence framing and validation evidence decision-makers need.
  • Partner with data engineering and technology teams to ensure the analytics data environment — data lake, semantic models, and AI feature stores — provides the clean, governed foundations that accurate analytics and provably correct AI require.
  • Coach, develop, and recruit top analytics talent; build a team culture of curiosity, intellectual honesty, and continuous improvement where validating AI outputs is as valued as generating them.
Position Requirements (Education, Qualifications, Experience)
  • Bachelor’s in Statistics, Data Science, Computer Science, Economics, or related STEM field required;
    Master’s/MBA preferred.
  • 12 plus years progressive analytics experience in multi‑unit restaurants, retail, or hospitality. Proven record driving measurable P&L impact through analytics programs.
  • 10 plus years progressive marketing experience—ideally in multi‑unit restaurants, retail, or franchise systems—with demonstrated ownership of local or regional marketing.
  • Expert in SQL and at least one scripting language…
Position Requirements
10+ Years work experience
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