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Technical Product Owner- AI & Machine Learning
- United States
- United States
Über
Location: Baton Rouge, LA (Hybrid- 3 days per week) Duration: 6 Months Pay Rate: $65/hr We are seeking a Technical Product Owner to support the delivery of Artificial Intelligence (AI) and Machine Learning (ML) initiatives. This role will work closely with Data Science, Engineering, and Business teams to translate requirements into actionable work, manage product backlogs, and facilitate Agile delivery processes. The ideal candidate has experience working in Agile environments, managing Azure DevOps backlogs, and supporting the successful delivery of data-driven or AI-enabled solutions. Key Responsibilities
Support the delivery of AI and Machine Learning initiatives within established project timelines and objectives. Partner with the Data Science Manager to evaluate, organize, and prepare incoming business requests for technical refinement. Translate business and technical requirements into user stories, acceptance criteria, and prioritized backlog items. Facilitate Agile ceremonies including sprint planning, backlog refinement, sprint reviews, and related delivery activities. Maintain Azure DevOps (ADO) Boards, ensuring backlog health, sprint tracking, velocity reporting, and delivery metrics remain current. Collaborate with Engineering, Data Science, Project Management, and Portfolio teams to coordinate priorities, timelines, and dependencies. Clarify requirements and remove delivery roadblocks by working closely with technical teams and stakeholders. Monitor project progress, risks, and dependencies, escalating issues as needed. Maintain project documentation, status reporting, and delivery artifacts. Recommend improvements to Agile processes, backlog management, and delivery workflows. Required Qualifications
Experience as a Product Owner, Technical Product Owner, Product Analyst, Business Analyst, or similar delivery-focused role. Experience supporting Agile, Scrum, SAFe, or other iterative delivery methodologies. Hands-on experience with Azure DevOps (ADO), including backlog management and sprint planning. Experience supporting Program Increment (PI) Planning, release planning, or multi-sprint delivery initiatives. Experience creating user stories, acceptance criteria, and managing product backlogs. Understanding of Artificial Intelligence, Machine Learning concepts, and model lifecycle management. Knowledge of cloud platforms, data engineering concepts, and modern data ecosystems. Strong communication, stakeholder management, and organizational skills. Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications
Experience supporting Data Science, Analytics, or Machine Learning teams. Familiarity with MLOps concepts and AI product delivery frameworks. Experience working within enterprise-scale Agile environments. Knowledge of Azure cloud technologies and data platforms. Success Metrics
High-quality backlog management and user story development. Consistent sprint execution and delivery predictability. Accurate project tracking, reporting, and dependency management. Effective collaboration across business and technical teams. Timely delivery of project objectives and milestones.
Sprachkenntnisse
- English
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