Technical Product Owner
Technical Product Owner
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Job Description
About this role:
We are seeking a seasoned and motivated Technical Product Owner to support the development of foundational capabilities for Wells Fargos Enterprise AI Platform. This role will work closely with the Product Manager to help define and deliver platform features such as APIs LLM hub components data connectors and cloud infrastructure enhancements. The ideal candidate will have a strong understanding of AI/ML technologies and a passion for building scalable secure and high-performing platforms.
In this role you will:
- Support Product Vision and Strategy Collaborate with the Product Manager to understand and execute the product vision and roadmap for core AI/ML platform capabilities.
- Drive Platform Capability Execution Translate product requirements into actionable features and user stories and acceptance criteria for engineering teams. Focus areas include APIs LLM Hub integration data connectors and cloud infrastructure.
- Backlog Management and Planning Maintain and prioritize the product backlog. Ensure timely delivery of features by working closely with engineering data science and DevOps teams.
- Cross-functional Collaboration Partner with cross-functional teams to ensure alignment on goals timelines and deliverables. Facilitate agile ceremonies and support sprint planning and reviews.
- Stakeholder Communication Author clear and concise status updates executive presentations and stakeholder communications. Manage expectations and escalate risks proactively.
- Stakeholder Engagement Gather and refine requirements from stakeholders across business units data scientists engineering security and legal teams. Ensure feedback is incorporated into product iterations.
- Monitor Performance and Feedback Track feature adoption and platform usage metrics. Use insights to recommend improvements and inform future development.
- Stay Current with Industry Trends Maintain awareness of emerging technologies and best practices in AI/ML platforms Generative AI and cloud infrastructure.
Required Qualifications:
- 5 years of experience in technology product development business analysis or equivalent demonstrated through one or a combination of the following: work experience training military experience education
- 2 years of experience working with AI/ML platforms APIs or cloud infrastructure (GCP Azure or AWS)
- Experience with the AI/ML lifecycle including data ingestion model training deployment and monitoring
- Experience working in Agile environments and using collaboration tools like Jira Confluence and Mural
Desired Qualifications:
- Bachelors degree or higher in computer science engineering data science or a related field
- Experience with MLOps or LLMOps tools and practices
- Exposure to Generative AI technologies (e.g. LLMs diffusion models)
- Understanding of platform security compliance and cloud optimization
- Strong communication and collaboration skills
- Ability to work independently and manage multiple priorities
Job Expectations:
- This position offers a hybrid work schedule
Employment Type
Full-time
