Knowledge Management- AI Enablement Associate Director (Location Flexible)

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.

ESSENTIAL DUTIES

Enterprise Knowledge & Content Strategy

• 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.

AI-Enabled Knowledge Management

• 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.

Microsoft 365 & SharePoint Leadership

• 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.

Information Lifecycle & Governance

• 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.

Leadership & Enablement

• 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.

QUALIFICATIONS

EDUCATION/CERTIFICATIONS

• Bachelor’s degree or equivalent experience (required)

TECHNICAL SKILLS

Qualifications & Experience

• 8-10 years of experience in enterprise knowledge management, content management, information architecture, or related disciplines. Required
• Hands-on experience applying AI to knowledge content, including contextual search, intelligent retrieval, or automation use cases. Preferred
• 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
• Knowledge of Microsoft Power Platform (Apps, Automate and BI). Preferred
• Knowledge of web analytics tools such as Google Analytics, AvePoint or equivalent. Preferred
• 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

• Experience implementing or supporting AI copilots, RAG (retrieval-augmented generation), or knowledge intelligence platforms. Preferred
• 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

SPECIAL REQUIREMENTS SPECIFIC TO JOB

• 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

TRAVEL

• Ability to travel on occasion to participate in firm or department meetings and training seminars. Required

 

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law. 

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $120,000 - $205,200