Knowledge Management and AI Product Manager

Truliant Federal Credit Union•Winston-Salem, NC

About The Position

Truliant Federal Credit Union is seeking a product-minded knowledge leader to shape its enterprise knowledge environment. The role owns product direction for how enterprise information is organized, governed, discovered, and prepared for AI-enabled search and self-service. Its purpose is to make knowledge easier for employees to find, trust, and maintain, supporting confident decisions and a consistent member experience. The position combines strategy and execution across information architecture, governance, content modernization, and AI readiness. The manager will develop the knowledge product strategy and roadmap, establish practical standards, and lead cross-functional modernization and continuous-improvement efforts. The role works with business leaders, content owners, subject matter experts, IT, Compliance, Risk, Legal, AI governance partners, vendors, and learning stakeholders. Travel of up to 10% to Charlotte, Winston-Salem, or another location may be required.

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.
Ability to influence cross-functional stakeholders and communicate strategy, governance, and AI-readiness concepts as 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 content modernization efforts, including cleanup, consolidation, migration readiness, adoption, and measurement.
Develop and manage product backlogs, priorities, requirements, and measurable improvement plans.
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.