Sr. Principal EI Solutions Team Leader - Data Science, Digital Transformation & Technology

Overview

Chick-fil-A is investing in Automation, Analytics and Data Literacy in all areas of the business. The Advanced Analytics საუ [])

As a Sr. Principal Team Leader at Chick-fil-A, you will oversee a team of advanced analytics product leaders responsible for designing technical strategy, direction, and design of cross‑functional advanced analytics solutions that support Chick‑fil‑A’s most complex outcomes. This role will be expected to be one of the most pre‑eminent thought leaders on Data Science at Chick‑fil‑A, while leading a team on Data Science product delivery.

You must influence up and laterally to leaders in approachable ways,েদের়অ ও কী তা আট।
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As a people leader, this role will serve on the Operator‑aligned Data, Analytics, and Automation team identifying resource and operational challenges, and designing plans and processes to address those challenges, including authority to make personnel decisions. This role will also typically assist with or lead the selection and oversight of outside partners and professionals to effectively deliver outcomes and results. This body of work is technically complex, requiring advanced knowledge in understanding desired analytic and automation outcomes, complex data and analytics ecosystems, efficient tool integration, and compute architecture that may span multiple environments.

Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick‑fil‑A culture by fostering collaboration and community.

• Align business and DTT sub‑department stakeholders to translate business logic into scalable data and advanced analytics products on complex projects.
• Cast vision and strategy for product teams, based on stakeholder feedback, and manage data and advanced analytics product roadmaps.
• Coordinate the delivery of data and advanced analytics products, ensuring they are high quality, consumable, and meet functional requirements.
• Partner with business stakeholders, Enterprise Architecture, Data & Analytics Engineering, and AI Engineering to develop enterprise product roadmaps.
• Ensure data consistency, integration, and availability through quality review and documentation.
• Implement data governance and master data management principles across the product lifecycle.
• Develop best practices for data products and advise on their integration into analytical and operational practices.
• Act as a subject‑matter expert on data and analytics product issues, proactively communicating issues and resolutions.
• Drive complex projects to success and enable others to own the impact.
• First adopters and pioneers of enterprise data, analytics, and AI/automation capabilities to maximize outcomes.
• Identify capability gaps and opportunities, providing feedback for future capability development.
• Participate in a cross‑functional guild to ensure consistency and ideal technology utilization across embedded intelligence teams.
• Provide leadership that blends understanding of data sources, engineering capabilities, and advanced analytics opportunities to maximize product value.
• Communicate clear team priorities and goals aligned with overall analytics and business strategy.
• Stay current with industry trends and vendor product offerings, continuously learning and introducing new technologies.
• Exercise technical judgment and influence in working with large, cross‑functional teams.
• Maintain collaborative relationships with the broader DTT engineering community and business partners.
• Promote data literacy by serving as a data translator and providing consultation and education.
• Lead, develop, and engage direct reports, modeling core values and Atmosphäre en zu und guiding principles.
• Ensure workforce engagement, recognition, development, and diversity.
• Hold direct reports accountable for achieving team goals and objectives, providing coaching and mentoring.
• Build external alliances with industry experts.

• Master's Degree in MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or…