Hiring: Sr Manager Data Science and AI Platform Enablement Company: Academy Sports + Outdoors Location: Katy, TX Job Posted Time: 2026-09-10 14:33:34 Target Skills & Keywords : Embedded Systems, MLOps, Machine Learning About the job Experience: •80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey. What fuels us? Our belief in the power of fun. •8+ years of experience in data science, advanced analytics, applied machine learning, or related fields. Experience in retail or B2C is preferred •4+ years of experience leading teams or major technical initiatives, including people management or matrixed leadership •3+ years of experience in B2C, retail, e-commerce, marketing analytics, or customer-facing analytics domains •3+ years of experience building, deploying, or enabling production-grade analytics or ML solutions Required Skills: •Strong engineering mindset with experience in: Modular code, Reproducibility & Production-grade analytics or ML systems •Proven ability to influence across matrixed organizations without direct ownership •Demonstrated capacity to balance speed to value with long-term scalability •Exposure to customer analytics, personalization, marketing, or e-commerce use cases, preferred •Comfort shaping standards without formal authority, preferred •Define and evolve reusable data, feature, and modeling patterns, MLOps and model lifecycle standards, and production-ready analytics/ML solutions. •Partner with CIO Data Engineering and Platform teams to influence canonical customer data models, shared datasets, feature reuse, and data access/consumption standards. •Translate customer, marketing, and omnichannel needs into scalable technical and platform-aligned patterns. Qualifications: •Bachelor’s in engineering, Statistics, Data Science, or Computer Sciences •Master’s degree in Analytics or data science (preferred) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!