Req ID: 48358
Team: T56 AI and Digital Innovation
Entity: Newport News Shipbuilding

US Citizenship Required for this Position: Yes

Full-Time
Shift: 1st
Relocation: No relocation assistance available
Virtual/Telework Opportunity: Yes - Occasional or hybrid telework available

Travel Requirement: Yes, 10%-25% of the time

Clearance Required: No - Clearance Not Required to Start

The Role

Responsible for the success of the product by maximizing the output of the development team within a scrum framework. Responsible for ordering backlog, clearly expressing the product backlog items, ordering the items to best achieve goals and optimize the value of the work the team performs. Lead collaboration, facilitate sprint activities, and create and communicate requirements artifacts that translate business needs into executable requirements. Work closely with business stakeholders, product/project managers, and technical teams to understand, analyze, refine, prioritize, and communicate needs to ensure full understanding of project scope, objectives, and requirements. Develop and adapt the product vision, writing new user stories, and specify acceptance of each user story. Bring members of the User Community together to share knowledge, identify enhancements, manage toolset or training improvements, discuss issues, and drive toward process standardization. Ensure the health and quality of specific processes and resulting products across the value stream.

We are seeking a Product Owner to join our Data Science team in the role of a Product Deliver Manager to drive the development and delivery of machine learning solutions that create business value. In this role, you will serve as the bridge between stakeholders and technical teams, ensuring that ML Ops workflows align with strategic objectives. You will define product vision, manage the backlog, and prioritize features to enable efficient deployment and lifecycle management of machine learning models. You will present out product progress to various levels of leadership.

Key responsibilities include:
• Defining and communicating product vision and roadmap for ML-driven solutions.
• Translating business requirements into actionable user stories and technical specifications.
• Managing and prioritizing the product backlog to maximize value delivery.
• Collaborating with data scientists, ML engineers, and DevOps teams to ensure smooth execution.
• Monitoring product performance and driving continuous improvement based on feedback and metrics.
• Experience as a Product Owner, Product Manager, or similar role.
• Strong understanding of Agile methodologies and experience working in Scrum teams.
• Excellent communication and stakeholder management skills.
• Ability to translate complex technical concepts into clear business requirements.
• Familiarity with software development lifecycle, DevOps and ML Ops principles.

Must Have

Bachelor's Degree and 5 years of relevant exempt experience; Master?s Degree and 3 years of relevant professional experience; Ph.D. and 0 years of experience.

One of the following may be used as an equivalent to Bachelor's Degree:

• NNS Apprentice School graduate
• Navy Nuclear Power School (NNPS) graduate
• Associate's Degree or other formal 2 year program and 2 years of relevant exempt experience or 4 years of relevant non-exempt experience
• Military Paygrade E-5 or above military experience
• High School/GED and 4 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant exempt experience
• High School/GED and 8 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant non-exempt experience
• Bachelor's degree in Business, Computer Science, Engineering, or related field with minimum 5 years of professional experience, or Master's degree and 3 years of relevant experience. PhD and 0 years of experience.

Nice to Have

Experience supporting Data Science or ML Ops teams.
• Knowledge of machine learning concepts and model lifecycle management.
• Familiarity with ML Ops tools (MLflow, Kubeflow, Airflow) and cloud platforms (AWS, Azure, GCP).
• Strong analytical skills and ability to use data to inform decisions.
• Experience with backlog management tools (Jira, Azure DevOps).
• Ability to work collaboratively in a fast-paced, cross-functional environment.