Technical Product Manager - AI & Data

Wingstop•Dallas, TX

1d•Onsite

About The Position

Wingstop is seeking a Technical Product Manager to align AI and data investments with business priorities. You will own product definition for Wingstop’s applied AI office defining the problems worth solving, the metrics that prove value, and the roadmap that connects data science capability to business outcomes. This role sits between business stakeholders and a technical team of AI engineers, data scientists, and data engineers. You will be accountable for making sure what we build gets adopted and delivers measurable value. This role is based at the Global Support Center in Dallas, TX.

Requirements

Bachelor’s degree in Computer Science, Engineering, Business, Analytics, or a related field (or equivalent practical experience)
6+ years in product ownership, technical product management, or business systems analysis
3+ years owning data, analytics, or AI/ML products end to end
Working technical fluency in machine learning and AI and able to assess feasibility and challenge approaches without writing production code
Comfortable writing SQL and exploring data independently
Experience with Agile tooling (Jira, Azure DevOps) and Agile delivery at scale
Experience building business cases and measuring post-launch value
Exceptional written and verbal communication across technical and executive audiences
Able to say no, sequence tradeoffs, and defend prioritization decisions
Strong facilitation, negotiation, and conflict resolution skills
Bias toward outcomes over output
High ownership and accountability mindset

Nice To Haves

CSPO, SAFe POPM, or an equivalent Agile product certification is a plus
Familiarity with cloud data platforms and modern data architecture
Restaurant, retail, or multi-unit consumer environment is a plus

Responsibilities

Own and prioritize the product backlog for the Applied AI and Data Science portfolio
Partner with leaders across business including Operations, Digital, Supply Chain, Marketing, and Finance to identify and validate AI use cases
Define success metrics and business cases for each initiative; measure and report realized impact
Write clear requirements, user stories, and acceptance criteria for technical delivery teams
Run intake, prioritization, and roadmap communication for AI and data requests across the enterprise
Lead sprint planning, backlog grooming, and release planning with engineering and data science
Drive adoption in partnership with change management, training, and operations
Manage stakeholder expectations on scope, timeline, and the realistic capability of AI systems
Coordinate dependencies across Data Engineering, BI, Enterprise Technology, and vendor partners
Maintain product documentation, model inventory, and lifecycle decisions (sustain, improve, retire)

Benefits

Unlimited paid time off for exempt employees
One paid volunteer day of your choice
Competitive bonus structure for eligible roles
Team member stock purchase plan
Health savings or flexible spending account options
401k – (dollar for dollar on the first 3% and then 50 cents on the dollar for the next 2% for team member contributions up to 5% of eligible compensation)
Comprehensive medical, dental, and vision benefits
Basic life and AD&D insurance provided
Pet insurance
Education Assistance
Wellness reimbursement program
Paid maternity and paternity leave
Lunch provided every Tuesday and Thursday in office
Discount on Wingstop gift cards
Onsite game room