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 to join their growing Data & AI organization in Katy, TX!
This is an exciting opportunity for a hands-on, visionary 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, ML engineers, and business stakeholders to deliver scalable, high-impact data solutions. You’ll have the opportunity to shape the organization’s AI strategy from the ground up, influencing how modern data tools and generative AI technologies are embedded into enterprise operations.
What the right candidate will enjoy!
- Working for one of the most recognized and fast-growing enterprise brands in the U.S.- a company consistently ranked as a top employer for innovation and workplace culture.
- Direct influence on the organization’s data and AI transformation roadmap.
- A highly visible role with leadership exposure and opportunities to present AI initiatives to senior executives.
- Collaborative, forward-thinking environment that encourages experimentation, innovation, and professional growth.
- Competitive base salary plus annual bonus and relocation assistance to the Houston area.
Experience of the right candidate:
- 5+ years of experience in product ownership or management within data platforms, AI/ML, or enterprise analytics environments.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field.
- Proven track record defining and managing product roadmaps for data engineering and AI solutions.
- Experience collaborating with cross-functional teams including data engineers, AI/ML engineers, and business stakeholders.
- Strong understanding of Agile/Scrum practices and backlog management tools (Jira, Azure DevOps).
- Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack technologies (Snowflake, Databricks, Airflow).
- Ability to translate business requirements into technical specifications and deliver measurable outcomes.
Responsibilities of the right candidate:
- Define and maintain the product vision and roadmap for data platform and AI engineering initiatives.
- Gather, prioritize, and translate business requirements into actionable user stories for development teams.
- Collaborate with engineering teams to ensure timely and high-quality delivery of data and AI products.
- Manage product backlog and lead Agile ceremonies including sprint planning, reviews, and retrospectives.
- Monitor product performance, capture user feedback, and drive continuous improvement.
- Ensure compliance with enterprise data governance, security, and ethical AI practices.
- Evaluate emerging technologies and recommend solutions to advance AI and data capabilities.
- Mentor junior product owners and foster a culture of collaboration and innovation.