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Sr Manager, Enterprise Knowledge Management; EKM Strategy & Ops - Remote

Remote / Online - Candidates ideally in
North Carolina, USA
Listing for: Lenovo
Remote/Work from Home position
Listed on 2026-01-05
Job specializations:
  • IT/Tech
    Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Sr Manager, Enterprise Knowledge Management (EKM) Strategy & Ops - Remote

Sr Manager, Enterprise Knowledge Management (EKM) Strategy & Ops - Remote

Join to apply for the Sr Manager, Enterprise Knowledge Management (EKM) Strategy & Ops - Remote role at Lenovo

Lenovo is a US $69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full‑stack portfolio of AI‑enabled, AI‑ready, and AI‑optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software‑defined infrastructure), software, solutions, and services.

Lenovo’s continued investment in world‑changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world‑changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our Story Hub.

About The Position

We are in need of a Senior Enterprise Knowledge Management (EKM) Strategy Operations Manager to drive the detailed enterprise EKM strategy, framework, and process iteration based on operational feedback and business development. In this position you will design and cascade BG/Geo/Func‑specific knowledge taxonomy frameworks, ensuring global standards and AI‑readiness for structured content, semantic tagging, and data quality. This role is key to ensuring continuous improvement and adoption of knowledge management practices across business units.

This position is remote, will have core working hours in EST and is part of a global team.

Key Responsibilities
  • Cascade EKM strategy, framework, and processes to BG/Geo/Func teams for consistent implementation
  • Oversee end‑to‑end execution of EKM methodologies and operational processes, ensuring adherence to global standards

    Gather and analyze execution feedback to inform iterative improvements of EKM processes and methodology
  • Facilitate the rollout and adoption of the corporate knowledge taxonomy framework, and design BG/Geo/Func‑specific knowledge taxonomy
  • Ensure all knowledge content is AI‑ready: structured, semantically tagged, and high‑quality for NLP
Basic Qualifications
  • 8+ years of experience leading global technical product operations and support
  • 4+ years of experience leading day‑to‑day operations for Knowledge Management products
  • Bachelor’s Degree in Engineering, Computer Science, Information Technology, Data Science or related field
Preferred Qualifications
  • Demonstrated success implementing content governance and taxonomy frameworks in enterprise environments
  • 6+ years of experience managing enterprise taxonomies, ontologies, or content classification systems
  • Experience driving digital product adoption across diverse business units
  • Proactive mindset, driving operational improvements with high attention to detail
  • Strong understanding of AI‑readiness: structured content, semantic tagging, and data quality for NLP
  • Strong command of change frameworks (e.g., ADKAR, Kotter, Prosci) and agile ways of working
  • Deep understanding of data platforms, analytics and AI technologies across products such as Google Gemini, GPT, Anthropic Claude, Grok, Devin AI, Agent Force, Microsoft Copilot Studio, Git Hub CoPilot, Google Antigravity, Cursor, Glean, CrewAI
  • Ability to make data‑driven decisions
  • Proven ability to translate technical complexity into business value
  • Comfort presenting to a variety of audiences from business stakeholders to executives
  • Experience with tools and frameworks such as Prometheus, Grafana, Open Telemetry, Service Now, or Runbook Automation platforms
  • Proficiency with Product Management and Collaboration tools:
    Figma, Jira, Confluence, Notion, SharePoint, Excel
  • Cultural competency working across Chinese, American, Desi, European, and South American cultural contexts, ensuring messages are communicated with clarity and tact
  • Certifications are a plus:…
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