Job Description
Optomi, in partnership with a leading enterprise innovator in the retail and consumer industry, is seeking a Product Owner - Data Platform & AI Engineering for their Katy, TX location!
This is an exciting opportunity for a hands-on, strategic Product Owner who thrives at the intersection of business strategy, data engineering, and artificial intelligence. In this role, you’ll define and drive the roadmap for enterprise data platform and AI initiatives - partnering closely with data engineers, BI managers, AI/ML engineers, and marketing teams to deliver scalable, high-impact analytics and AI solutions that power omnichannel performance.
This position will be instrumental in standing up a new team within the organization’s Data & AI group, collaborating with business and technology leaders to understand the full data lifecycle, prioritize use cases, and shape enterprise AI strategy from the ground up.
What the right candidate will enjoy!
- The opportunity to work for one of the largest and fastest-growing retail enterprises in the U.S. - consistently recognized as a top employer for innovation and workplace culture.
- A high-visibility role supporting the company’s next-generation Data, Analytics, and AI transformation roadmap.
- The chance to build and lead a new cross-functional Data & AI team from the ground up.
- Direct exposure to senior leadership and the opportunity to influence enterprise-level AI strategy.
- A collaborative, innovative environment that encourages experimentation, growth, and ownership.
- Competitive compensation and benefits, including bonus and relocation assistance to the Houston area.
Experience of the right candidate:
- 5+ years of Product Ownership or Product Management experience within data platforms, AI/ML, or enterprise analytics environments.
- Proven experience defining and managing product roadmaps for data engineering and AI solutions.
- Demonstrated experience collaborating with data engineers, BI managers, AI/ML engineers, and business stakeholders.
- Retail industry experience required.
- Strong understanding of Agile/Scrum methodologies and backlog management tools (Jira, Azure DevOps).
- Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack technologies (Snowflake, Databricks, Airflow).
- Proficiency in SQL and data visualization tools such as Power BI or Tableau.
- Understanding of AI/ML concepts, model lifecycle, and MLOps practices.
- Excellent communication, analytical, and stakeholder management skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field.
Responsibilities of the right candidate:
- Define and maintain the product vision and roadmap for data platform and AI engineering initiatives.
- Gather and prioritize business requirements, translating them into actionable user stories for development teams.
- Collaborate with BI and marketing teams to understand performance metrics, data flows, and AI use cases.
- Manage the product backlog and lead Agile ceremonies including sprint planning, reviews, and retrospectives.
- Partner with data and AI engineering teams to ensure timely and high-quality product delivery.
- Oversee the data lifecycle from origination to landing, ensuring governance, compliance, and accessibility.
- Facilitate communication between business and technical stakeholders to align on priorities and outcomes.
- Drive AI adoption and experimentation within enterprise data platforms.
- Evaluate emerging technologies to enhance AI and data capabilities.
- Mentor junior product owners and contribute to a culture of innovation and continuous improvement.