Knowledge Management- AI Enablement Associate Director (Location Flexible)

RSM US LLP•Minneapolis, MN

2d•$120,000 - $205,200•Remote

About The Position

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. The Enterprise Knowledge Management - AI Enablement Lead serves as the deputy leader within the Enterprise Knowledge Management (EKM) function, partnering closely with the EKM leader to modernize how knowledge and content are created, governed, contextualized, and delivered across the enterprise. This role is responsible for integrating knowledge management, content management, and AI capabilities, with a strong emphasis on Microsoft 365 and SharePoint, information lifecycle management, and AI-driven contextualization. The role will help evolve the organization from traditional content repositories to intelligent, context-aware knowledge systems that support decision-making, productivity, and scale.

Requirements

Bachelor’s degree or equivalent experience (required)
8-10 years of experience in enterprise knowledge management, content management, information architecture, or related disciplines. Required
Deep expertise in Microsoft 365, including: SharePoint (architecture, governance, and design) Required
Experience using SharePoint Online (Modern). Required
Enterprise search and metadata strategies Required
Integration with Teams and other M365 services Required
Demonstrated experience leading or significantly contributing to KM or content transformations at enterprise scale. Required
Strong understanding of information lifecycle management, records management, and governance frameworks. Required
Proven ability to operate as a deputy or senior leader, influencing without authority and partnering closely with executive stakeholders. Required
Familiarity with data classification, content labeling, and AI-ready content preparation. Required
Background working in large, matrixed, or highly regulated enterprise environments. Required
Experience driving adoption and behavior change related to new digital or AI-enabled tools. Required
Proven ability to manage complex initiatives and influence across teams without direct authority. Required
Strong understanding of professional services environment. Required
Ability to translate complex guidance into clear, usable content. Required
Excellent stakeholder management and communication skills. Required
Strategic thinker with strong execution and follow‑through. Required
Comfortable navigating ambiguity and building new capabilities from the ground up. Required
Data‑informed decision maker with a continuous improvement mindset. Required
Experience supporting distributed professional populations. Required
Ability to travel on occasion to participate in firm or department meetings and training seminars. Required

Nice To Haves

Hands-on experience applying AI to knowledge content, including contextual search, intelligent retrieval, or automation use cases. Preferred
Knowledge of Microsoft Power Platform (Apps, Automate and BI). Preferred
Knowledge of web analytics tools such as Google Analytics, AvePoint or equivalent. Preferred
Experience implementing or supporting AI copilots, RAG (retrieval-augmented generation), or knowledge intelligence platforms. Preferred

Responsibilities

Serve as deputy to the Enterprise Knowledge Management leader, helping define and execute the enterprise knowledge strategy, roadmap, and operating model.
Drive the convergence of knowledge management and content management, ensuring a cohesive approach across structured and unstructured information.
Translate business needs into scalable knowledge solutions that support enterprise-wide adoption.
Lead the application of AI to knowledge and content, including discovery, summarization, classification, tagging, and retrieval.
Design and implement contextualization strategies so AI systems surface the right knowledge, to the right people, at the right time.
Partner with technology, AI, data, and security teams to ensure AI-enabled knowledge solutions are responsible, secure, and compliant.
Own the knowledge architecture within Microsoft 365, with deep expertise in SharePoint, Teams, copilot search, metadata, and integration patterns.
Optimize M365 as a knowledge platform, including governance models, information architecture, and user experience.
Guide best practices for content creation, reuse, and collaboration within the M365 ecosystem.
Lead information lifecycle management practices, including creation, classification, retention, archiving, and disposition.
Ensure knowledge and content governance balances compliance, risk management, and usability.
Define standards for metadata, taxonomies, content quality, and ownership.
Act as a trusted advisor to senior stakeholders on knowledge, content, and AI capabilities.
Mentor team members and help build modern KM capabilities across the organization.
Drive change management and adoption for new knowledge and AI-driven ways of working.