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Academy Sports + Outdoors · 2 hours ago

Product Owner IT Data Platform and AI Engineering

Katy, TX

Full-time

Onsite

Senior Level

5+ years exp

Academy Sports + Outdoors is committed to creating a workplace that values hard work and growth. The Product Owner for Data Platform and AI Engineering will lead the development of data and AI solutions by managing product roadmaps and collaborating with cross-functional teams to translate business needs into technical requirements.

E-CommerceSports

H1B Sponsor Likely

Responsibilities

Define and maintain the product vision and roadmap for data platform and AI engineering initiatives

Gather and prioritize requirements from business stakeholders and translate them into actionable user stories

Collaborate with engineering teams to ensure timely and quality delivery of data and AI products

Manage product backlog and lead sprint planning, reviews, and retrospectives

Monitor product performance and user feedback to drive continuous improvement

Ensure alignment with enterprise data governance, compliance, and security standards

Facilitate cross-functional collaboration to identify opportunities for AI-driven innovation and automation

Evaluate emerging technologies and recommend solutions to enhance data and AI capabilities

Champion the integration of AI capabilities into enterprise data platforms

Drive adoption of agentic frameworks and generative AI solutions across business functions

Ensure ethical and responsible AI practices in product development

Mentor junior product owners and contribute to a culture of innovation and experimentation

Partner with vendors and external experts to evaluate and implement cutting-edge AI technologies

Qualification

Product ownershipData platformsAI/ML experienceAgile/Scrum methodologiesCloud platformsData visualization toolsSQLAnalytical skillsStakeholder managementCommunication skillsCollaboration skills

Required

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related discipline

Experience in defining and managing product roadmaps for data engineering and AI solutions

Proven track record of working with cross-functional teams, including data engineers, AI/ML engineers, and business stakeholders

Experience in Agile/Scrum methodologies and backlog management tools (e.g., Jira, Azure DevOps)

Experience in translating business requirements into technical specifications for data and AI products

Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack technologies (e.g., Snowflake, Databricks, Airflow)

Experience in managing stakeholder expectations and delivering high-impact data and AI solutions

Strong analytical and problem-solving skills with a data-driven mindset

Excellent communication and stakeholder management abilities

Ability to prioritize and manage multiple initiatives in a fast-paced environment

Proficiency in data visualization tools (e.g., Power BI, Tableau) and SQL

Understanding of AI/ML concepts, model lifecycle, and MLOps practices

Experience with product lifecycle management and user story creation

Ability to work collaboratively with technical and non-technical teams