AI/ML Product Owner

Onebridge•Indianapolis, IN

61d

About The Position

As an AI/ML Product Owner, you are responsible for defining product vision, strategy, and execution for complex technology solutions. You combine business acumen with technical expertise to deliver scalable, cloud-ready products that meet strategic objectives. You excel at prioritizing features, managing backlogs, and aligning stakeholders, while guiding technical decisions to ensure feasibility and performance. Experience with Databricks and AI/ML technologies enables you to incorporate advanced capabilities into product roadmaps when appropriate. Your ability to lead solutioning efforts, champion Agile practices, and partner closely with developers and architects makes you a trusted leader across business and technical teams.

Requirements

10+ years of progressive experience in technology-driven roles, with at least 5 years in Technical Product Ownership or similar leadership positions.
Strong understanding of software development lifecycle, APIs, CI/CD pipelines, and cloud platforms (AWS or Azure).
Exposure to Databricks and AI/ML technologies, with experience integrating advanced capabilities into enterprise solutions.
Familiarity with Python and SQL for technical discussions; experience with reporting tools like Power BI is a plus.
Skilled in Agile methodologies and tools such as Jira, Azure DevOps, and Confluence.
Proven ability to manage priorities, lead technical solutioning efforts, and deliver results under tight deadlines.
Exceptional communication, leadership, and stakeholder management skills, with a track record of influencing decisions at all levels.

Nice To Haves

Experience in highly regulated industries (Healthcare, Pharma, Finance) is a plus.

Responsibilities

Define and communicate a clear product vision and roadmap, ensuring alignment with organizational strategy and emerging technologies.
Own and prioritize the product backlog, balancing business value, technical feasibility, and dependencies across multiple teams.
Collaborate with developers, architects, and data scientists to design and deliver scalable, secure, and cloud-native solutions that meet performance and compliance standards.
Drive technical solutioning and architecture discussions, ensuring integration of best practices and alignment with enterprise frameworks.
Lead Agile ceremonies and foster a culture of continuous improvement, optimizing team velocity and delivery predictability.
Incorporate Databricks and AI/ML capabilities strategically into product initiatives to enhance functionality and unlock data-driven insights.
Monitor KPIs, adoption metrics, and product performance, using data to inform enhancements and long-term roadmap decisions.

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