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Chick-fil-A Corporate Support Center · 19 hours ago

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

Atlanta, GA

Full-time

Hybrid

Senior Level, Lead/Staff

7+ years exp

Chick-fil-A is investing in Automation, Analytics and Data Literacy across its business. The Sr. Principal Team Leader will oversee a team of advanced analytics product leaders, directing the design and implementation of complex data science solutions to support business-critical outcomes.

Customer ServiceFood and BeverageHospitalityRestaurantsSnack Food

Responsibilities

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 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

Qualification

Data ScienceAWSData ArchitectureMachine LearningAgile DevelopmentSQLData ManagementAnalytical SkillsLeadershipCommunication SkillsTeam Collaboration

Required

Master's Degree in MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields or comparable work experience

7+ years of experience

Has 8+ years experience with AWS or comparable cloud services analytics stack

Able to understand and/or apply machine learning and advanced analytics concepts to solve business problems

Experience with leveraging big data to achieve business outcomes

Able to translate complex problems and solutions effectively between business and engineering audiences

Experience managing technical products and/or programs

Ability to think strategically about business and technical challenges in an enterprise environment

Has the skill to partner with cross-functional teams using strong written and verbal communication

Has the skill to continually prioritize and influence across multiple audiences

Keen eye for system thinking and process design, especially with respect to scalability and automation

Leadership and innovation around Data and Analytics

General SDLC (System Development Lifecycle) experience

Experience with the agile development methodology

Strong understanding of data management concepts

Experience in data architecture and design, for both structured and unstructured data; data modeling, architecture and delivering highly scalable and flexible, cost-effective, cloud-based enterprise analytics solutions

Deep database knowledge and proficient with SQL

Proficiency with Amazon Web Services, Google Cloud, or Microsoft Azure Managing several different streams of work and contribute to multiple projects simultaneously

Passionate about applying technology strategy to support business processes at scale

Motivated by continual learning

Ability to lead others by influence

Ability to lead small teams

Strong written and oral communication skills

Good interpersonal and team collaboration skills

Strong analytical and problem-solving skills