Knowledge Management and AI Product Manager

Truliant Federal Credit Union•Charlotte, NC

20h

About The Position

At Truliant Federal Credit Union, the Knowledge Management and AI Product Manager shapes how enterprise information is organized, governed, discovered, and prepared for AI-enabled search and self-service. The role owns the product direction for the enterprise knowledge environment, bringing together strategy, information architecture, governance, content modernization, and AI readiness to make knowledge easier to find, trust, and maintain. The position works across business, technology, governance, learning, and leadership teams to turn employee, business, operational, compliance, and technology needs into practical, scalable solutions. It balances employee needs, business value, technical feasibility, governance requirements, and organizational risk while setting priorities and making decisions. The role includes up to 10% travel to Charlotte, Winston-Salem, or another location as needed.

Requirements

At least 5 years of progressive experience in knowledge management, enterprise content management, information architecture, digital workplace, product management, learning technology, or a related field, including responsibility for enterprise platforms, products, or knowledge capabilities.
At least 3 years leading or managing knowledge management products, platforms, capabilities, or programs, including product strategy, roadmap development, requirements, prioritization, stakeholder alignment, release readiness, adoption, and continuous improvement.
Ability to develop and manage knowledge product strategy, roadmaps, backlogs, priorities, requirements, and measurable improvement plans.
Ability to design information architecture and governance standards for taxonomy, metadata, classification, naming, ownership, stewardship, quality, version control, and content lifecycles.
Ability to improve enterprise search and knowledge discovery using search patterns, usage data, content-quality indicators, and employee feedback.
Ability to prepare and optimize content for intelligent search, conversational interfaces, retrieval-based solutions, and employee self-service while applying responsible AI principles.
Ability to lead discovery, solution design, acceptance testing, release readiness, adoption, and post-implementation improvement across the product lifecycle.
Ability to influence cross-functional stakeholders and translate strategy, governance, and AI-readiness concepts into clear, practical guidance.
Bachelor’s degree in knowledge management, learning technology, information systems, human resources, business, communications, content strategy, product management, or a related field, or equivalent practical experience.
Comfort balancing employee needs, business value, technical feasibility, governance requirements, and organizational risk while making clear priorities and decisions.

Nice To Haves

At least 3 years designing or implementing knowledge architecture and governance practices, including taxonomy, metadata, enterprise search, content ownership, stewardship, quality standards, lifecycle management, and preparing enterprise knowledge for AI-enabled retrieval and employee self-service.
Experience in a regulated environment where policy accuracy, ownership, auditability, and review cycles matter.
Experience supporting AI-enabled knowledge retrieval, chatbot content support, intent mapping, or employee self-service experiences.
Experience with SharePoint knowledge management, digital workplace search, Kore.ai, Microsoft Copilot readiness, or enterprise content modernization, including Alfresco-to-SharePoint work.

Responsibilities

Build and manage the knowledge product strategy, roadmap, priorities, requirements, and continuous improvement plan.
Create standards for taxonomy, metadata, ownership, lifecycle management, search, and AI-ready content.
Lead cross-functional knowledge modernization efforts, including content cleanup, consolidation, migration readiness, adoption, and measurement.
Partner with business leaders, content owners, subject matter experts, IT, Compliance, Risk, Legal, AI governance partners, vendors, and learning stakeholders.
Design information architecture and governance standards for classification, naming, ownership, stewardship, quality, version control, and content lifecycles.
Improve enterprise search and knowledge discovery using search patterns, usage data, content-quality indicators, and employee feedback.
Prepare and optimize content for intelligent search, conversational interfaces, retrieval-based solutions, and employee self-service while applying responsible AI principles.
Lead discovery, solution design, acceptance testing, release readiness, adoption, and post-implementation improvement across the product lifecycle.
Influence cross-functional stakeholders and translate strategy, governance, and AI-readiness concepts into clear, practical guidance.