Lead, Data Science & AI Platform Enablement

Academy Sports + Outdoors; Katy (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Academy Sports + Outdoors is seeking a senior leader to drive data standards, platforms, and analytics across customer-centric initiatives. You will shape reusable data and ML patterns, partner with IT and data teams, and enable domain scientists and engineers to accelerate value while ensuring governance and responsible AI practices.

Ideal candidates have extensive data science leadership experience in retail or consumer analytics, with a focus on scalable, production-grade solutions and

Qualifications

• Bachelor’s degree in engineering, statistics, data science, or computer sciences.
• Master’s degree in analytics or data science preferred.
• 8+ years in data science, analytics, ML, or related fields.
• 4+ years leading teams or major technical initiatives.

Responsibilities

• Define and evolve data, features, and modeling patterns; establish MLOps and model lifecycle standards.
• Partner with CIO Data Engineering and Platform teams to influence canonical data models and data access standards.
• Translate customer, marketing, and omnichannel needs into scalable patterns.
• Lead governance for personalization, experimentation, and customer analytics.

Skills

Data science leadership

Modular code

Production‑grade analytics

Experimentation data analytics

Cross-functional collaboration

Education

Bachelor’s in engineering, Statistics, Data Science, or Computer Sciences

Master’s degree in Analytics or data science

Tools

Adobe Analytics

Quantum Metrics

Tag management

MLOps platforms

Job description

Academy Sports + Outdoors is seeking a senior leader to drive data standards, platforms, and analytics across customer-centric initiatives. You will shape reusable data and ML patterns, partner with IT and data teams, and enable domain scientists and engineers to accelerate value while ensuring governance and responsible AI practices.

Ideal candidates have extensive data science leadership experience in retail or consumer analytics, with a focus on scalable, production-grade solutions and