Data & AI Product Owner (Job ID:4341)

Valkyrie•Virginia Beach, VA

1d•$100,000 - $150,000•Hybrid

About The Position

Valkyrie Enterprises has a need for a Data & AI Product Owner in Virginia Beach, VA. This role is Hybrid. The Data & AI Product Owner supports Valkyrie’s Data & AI initiatives by helping ensure technical efforts remain aligned to business needs, operational priorities, and measurable outcomes. This role is responsible for managing the product backlog, prioritization process, roadmap coordination, and stakeholder engagement activities for Data & AI capabilities across the organization. The Data & AI Product Owner serves as a key liaison between business stakeholders and technical delivery teams, helping translate business needs into structured, actionable work that supports successful delivery and adoption. The role focuses on supporting delivery teams and stakeholders by providing structure, prioritization, and coordination across data, reporting, automation, and AI initiatives. This position works closely with IT Services and stakeholders across the enterprise to support the successful planning, delivery, adoption, and ongoing improvement of Data & AI solutions.

Requirements

Must have a bachelor’s degree in Business, Information Systems, Computer Science, Engineering, Data Analytics, or a related field and at least of five 5 years of relevant professional experience, or an equivalent combination of education and experience.
Must have experience in product management, product ownership, business analysis, project coordination, or related roles supporting software, data, analytics, or platform initiatives.
Must demonstrate experience managing backlogs, prioritization activities, stakeholder engagement, and translating business requirements into actionable user stories, requirements, and delivery plans.
Must have experience supporting Agile delivery practices, including backlog refinement, sprint planning, user story development, and iterative delivery methodologies.
Must possess strong written and verbal communication skills and the ability to work effectively across technical and non-technical teams.
Must demonstrate the ability to facilitate collaboration, manage competing priorities, and support organizational decision-making across multiple stakeholder groups.
Must be able to work independently, exercise sound judgment, and take ownership of complex, cross-functional initiatives.
Must have the ability to obtain a U.S. Government security clearance.
Must comply with all Valkyrie Enterprises security policies and procedures.

Nice To Haves

Experience supporting data platform, analytics, AI/ML-enabled, or enterprise automation initiatives, including familiarity with platforms such as Azure and Snowflake, preferred.
Experience supporting operational, financial, workforce, or workflow-intensive business environments, preferred.
Experience working in a defense contractor, government, or regulated compliance environment, preferred.
Certified Scrum Product Owner (CSPO) or similar Agile/product management certification, preferred.
Experience helping establish, mature, or scale a new technical or operational capability within an organization, preferred.

Responsibilities

Support development and maintenance of product roadmaps across data platform, reporting, automation, and AI initiatives.
Translate business needs into structured epics, user stories, acceptance criteria, release plans, and measurable outcomes.
Facilitate prioritization discussions, sequencing activities, and tradeoff analysis among stakeholders and technical teams.
Support backlog refinement, sprint planning, release coordination, and launch readiness activities.
Support adoption of delivered capabilities through communication, training coordination, user feedback collection, and stakeholder engagement.
Partner with engineering and technical leads to ensure delivery efforts remain focused on business value, operational efficiency, and measurable impact.
Work with internal stakeholders to identify workflow inefficiencies, automation opportunities, reporting gaps, and operational improvement initiatives.
Track adoption metrics, product effectiveness, and realized business value following solution deployment.
Communicate roadmap updates, delivery status, risks, and prioritization decisions to technical and non-technical stakeholders.
Contribute to the continued development of product management practices and delivery processes within the Data & AI function.