Product Owner

TEKsystems•Fort Mill, SC

6d•$60 - $75•Hybrid

About The Position

The Product Owner for Knowledge Management & AI will own the delivery of capabilities that strengthen the enterprise knowledge ecosystem and accelerate the performance of AI experiences—including Advisor CoPilot, Agent Assist, GenAI Search, and WalkMe powered guidance. This PO will lead feature definition, backlog management, sprint execution, and cross functional orchestration across Knowledge Management (KM), Engineering, Digital Enablement, and AI Governance partners. The role is central to ensuring content accuracy, lifecycle stewardship, model compliance, and high quality user experiences. You’ll join a domain where Knowledge Management is a strategic dependency for GenAI effectiveness, as outlined in the enterprise KM & GenAI strategy roadmap.

Requirements

Bachelor’s degree in Business, Information Science, Computer Science, or related field.
4–6 years of product or content platform experience, with at least 2 years in KM, search, or AI enabled systems.
Strong understanding of KM content lifecycle management, metadata, taxonomies, search optimization, and content governance—aligned with responsibilities described in Knowledge Management and GenAI Strategy.
Experience writing detailed user stories and acceptance criteria, managing JIRA backlogs, and supporting sprint ceremonies.
Ability to translate complex KM+AI needs into actionable requirements for Engineering and AI teams.

Nice To Haves

Familiarity with LLMs, retrieval systems, enterprise search, agent frameworks, and human in the loop AI processes.
Experience partnering with AI governance roles like DAPA or AI Administrators—reflecting org structure in SS&S AI Oversight Proposal_Deck.
Understanding of KM platforms (AEM, Coveo, iKnow), content workflow tools, or WalkMe supported guidance.
Knowledge of UI/UX principles, structured content design, and taxonomy development.

Responsibilities

Manage and prioritize the product backlog for KM and AI driven features, transforming epics into refined user stories with clear acceptance criteria.
Drive sprint planning, coordinate capacity with Engineering, and ensure stories are understood and ready for development.
Validate completed stories and ensure releases meet functional and non functional requirements.
Partner with the VP, Product Manager to align deliverables with long term product vision and business outcomes.
Lead KM improvements across Resource Center, iKnow, and related systems, reinforcing KM lifecycle standards, quarterly audits, content workflows, and audience tagging.
Support adoption of enhanced content governance, metadata, and topic structures that directly improve GenAI performance.
Champion measurable improvements in accuracy, findability, and advisor self help outcomes.
Define user stories for AI powered experiences (GenAI search, CoPilot guidance, content recommendations, personalization).
Partner with AI Administrators and governance teams to support structured evaluations, responsible AI compliance, and model behavior audits.
Facilitate alignment between KM content owners and AI teams to ensure clean, high quality training inputs and reduced model remediation cycles.
Coordinate dependencies across multiple product teams without direct authority—mirroring cross team orchestration expectations in Technical Product Owner JD (Level 5 or 6).
Partner with Design, Engineering, Service Enablement, and Digital Adoption to ensure consistency in AI supported user journeys.
Communicate progress, risks, and milestones to leadership and stakeholders.
Produce runbooks, playbooks, release notes, and operational documentation that enable transparency an explicit expectation of AI related PO roles.
Maintain clear mapping between KM enhancements, AI capabilities, and business outcomes.