Knowledge Management Strategy Lead (AI & Governance)

CliftonLarsonAllen

San Antonio (TX)

On-site

USD 110,000 - 150,000

Full time

8 days ago
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Benefits offered by this job

Health benefits
Dental
Vision
401k

Job summary

CliftonLarsonAllen in Texas seeks a Lead Knowledge Enablement Analyst to drive knowledge management strategy and governance across business functions. You will shape scalable standards for content, taxonomy, metadata, and repositories while guiding senior stakeholders toward mature KM practices.

You will also lead cross-functional initiatives, enable AI-ready knowledge assets, and improve enterprise documentation to reduce silos and boost operational maturity.

Qualifications

  • Six years of relevant experience in knowledge management or related fields.
  • Experience in information architecture, content strategy, and documentation governance.
  • Bachelor's degree; business, communications, information management, or organizational development preferred.

Responsibilities

  • Define and lead knowledge management strategies, roadmaps, and governance across functions.
  • Design scalable documentation standards, taxonomy, metadata, and repository ownership.
  • Partner with senior leaders to align KM with business priorities and measure impact.
  • Lead governance forums and cross-functional initiatives for standardization and knowledge sharing.
  • Prepare assets for AI-enabled experiences and future digital worker capabilities.

Skills

Knowledge management
Information architecture
Content strategy
Documentation governance
Change management
AI readiness

Education

Bachelor's degree

Tools

SharePoint
ServiceNow
Microsoft 365
Intranet platforms
Taxonomy & metadata

Job description

CliftonLarsonAllen in Texas seeks a Lead Knowledge Enablement Analyst to drive knowledge management strategy and governance across business functions. You will shape scalable standards for content, taxonomy, metadata, and repositories while guiding senior stakeholders toward mature KM practices.

You will also lead cross-functional initiatives, enable AI-ready knowledge assets, and improve enterprise documentation to reduce silos and boost operational maturity.

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