Chick Fil A Supply Chain Jobs (NOW HIRING)

How We Work At Chick-fil-A

Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.

Overview

Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

Leading People

Chick-fil-A People Leaders are expected to manage work effectively for themselves and their teams, setting ambitious goals and communicating clear expectations. They empower their teams through thoughtful guidance and coaching, carefully nurturing our culture. By connecting team efforts to our strategic goals, they drive meaningful business results and amplify the Support Center 's overall effectiveness. Embodying our core value, 'We are better together,' they cultivate belonging and enable each Staff member to contribute their unique talents.

Leading Work

Living within the Chick-fil-A Supply Chain Data Services function, the Data Enablement Team Leader designs the data products and processes that make SCDS data clear, governed, and easy to use, so partners and teams across the business can operate effectively. Success in this role balances deep business acumen with data enablement depth, and experience translating operational business requirements into governed data products.

The Data Enablement Team Leader partners closely with Data Engineering to shape what gets built and with Data Operations to make sure it runs well, owning the Design layer of the SCDS operating model. Familiarity with MDM tooling (Stibo/STEP), modern data governance practices, and platforms like Databricks is helpful, SQL or Python a plus. Data Enablement is one of three services in the SCDS operating model - Enablement designs it, Engineering builds it, Operations runs it.

This role reports to the Director of Supply Chain Data Services.

Responsibilities Leading People

At the highest level, People Leader responsibilities are represented in our leadership model, SERVE: See the Future, Engage and Develop Others, Reinvent Continuously, Value Results and Relationships, and Embody a Leader's Heart. More specifically, People Leader responsibilities include the following:

• Inspire and Engage the Team: Lead, develop, and engage the team to bring our Corporate Purpose and Core Values to life, fostering a culture of growth and contribution.
• Set Goals and Drive Performance: Set performance goals that grow Staff contribution while also holding the team accountable for achieving individual and team objectives.
• Coach and Develop Staff: Empower and develop Staff by delegating work that helps them grow, facilitating effective performance conversations, and assisting Staff in identifying actions that will help them achieve their performance and career goals.
• Prioritize Work and Remove Obstacles: Partner with the team and individuals to prioritize work and allocate resources, helping remove obstacles and solve problems.
• Provide Feedback and Recognition , and Develop Self: Provide regular encouragement and recognition, as well as constructive feedback, to help foster Staff member engagement.

Leading Work

• Lead the Data Enablement team, uniting MDM and process engineering into one team that sources and architects data solutions as the business needs it
• Establish and steward a trusted single source of truth for master data across SCDS
• Align data to how the business actually operates, keeping the data model true to business process
• Own the intake process for new data products and changes, reducing ambiguity across teams
• Partner with Data Engineering to shape what gets built, through clear specs, definitions, and prioritization
• Partner with Data Operations to hand off products with the standards, documentation, and SLAs they need to run well
• Prevent downstream defects through governance-by-design, catching data quality and process risks early
• Manage the Stibo (STEP) lifecycle in partnership with the team, ensuring data stays healthy through creation, change, and retirement
• Serve as the point of escalation for governance, data quality, and process-alignment issues
• Translate complex information into plans that partners and executives can understand and act on
• Communicate critical data and governance issues to stakeholders and leadership
• Identify opportunities to improve enablement, governance, and process across the SCDS ecosystem

Required Qualifications (Knowledge, Skills, & Abilities)

• Bachelor's Degree in Information Management Systems, Engineering, Statistics, Analytics, or related field
• 5+ years in data governance, master data management, business process engineering, or working in-depth with data lifecycle management in a operational business setting
• Experience setting data policies, procedures, and standards
• Experience partnering with engineering and operations teams to bring data products from concept to production
• Experience driving crossfunctional projects to completion with minimal supervision
• Proficiency with MS Office (Word, PowerPoint, Excel)
• Strong communication, problem-solving, and organizational skills

Preferred Qualifications (Knowledge, Skills, & Abilities)

• Hands-on experience enablingdata and process for an operational business unit, supply chain preferred
• Master's Degree in Information Management Systems, Engineering, Statistics, Analytics, or related field
• 7+ years in data governance, master data management, or data enablement
• Experience leading a team with little supervision
• Experience translating business processes into governed data products
• Experience with Agile ways of working
• Understanding of Supply Chain or Logistics Management
• Comfortable using MDM platform, ex: Stibo (STEP)
• Programming skills in data modelling languages (SQL, Python, R, or similar)
• Comfortable with Alteryx and Databricks

Required Years of Experience

7

Travel Requirements

20%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Master's Degree

Required Major/Concentration

Data Science, Statistics, Mathematics, Operations Research, Computer Science, Management Information Systems or equivalent combination of education and experience

Relocation Assistance Provided

No