UK

United Kingdom · Knowledge management · Principal/Manager (12-16 years)

Manager, Knowledge Sharing & Enablement

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports3-8 reports
  • Reports toDirector of Knowledge Management
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Head of Knowledge Management Operations · Senior Knowledge Programme Manager · Knowledge Strategy Lead

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

CMI Level 5 NVQ Diploma in Management and Leadership Chartered Management Institute · Level 5 · covers 4 of 10 standards
iCQ Level 4 NVQ Diploma in Management iCan Qualifications Limited · Level 4 · covers 3 of 10 standards
Pearson Edexcel Level 4 NVQ Diploma in Business Administration Pearson Education Ltd · Level 4 · covers 1 of 10 standards
City & Guilds Level 5 Diploma in Principles of Leadership and Management City & Guilds Limited · Level 5 · covers 2 of 10 standards
City & Guilds Level 5 Certificate in Leadership and Management City & Guilds Limited · Level 5 · covers 2 of 10 standards
City & Guilds Level 5 Diploma in Leadership and Management City & Guilds Limited · Level 5 · covers 2 of 10 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Manage knowledge in an organisation CMI Level 5 NVQ Diploma in Management and Leadership
Knowledge and information management City & Guilds Level 5 Diploma in Principles of Leadership and Management

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Frontier Fluency the next wave, beyond mainstream AI
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Manager, Knowledge Sharing & Enablement

2 units that map to this job, from the qualifications that cover it.

  1. Manage knowledge in an organisation Chartered Management Institute · covers 4 of 10 standards Level 5
  2. Knowledge and information management City & Guilds Limited · covers 2 of 10 standards Level 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Manager, Knowledge Sharing & Enablement?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • AI-Driven Knowledge Orchestration & Prompt Engineering
  • Knowledge Graph Design & Semantic Search
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Manager, Knowledge Sharing & Enablement plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

This role involves managing how information is captured, organised and shared across a business. You'll lead a small team, making sure people can find what they need to do their work well.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Confluence / Notion / SharePoint Online (Enterprise Wiki/Intranet) Strategic

Leading platform selection or migration projects. Defining enterprise-wide information architecture, content models, and governance policies for our primary knowledge repositories.

Coveo / Sinequa / Lucidworks Fusion (Enterprise Search) Architect

Owning the enterprise search strategy. Selecting and implementing the search platform, defining indexing sources, relevance tuning, and the overall user experience across all integrated systems.

WalkMe / Pendo / Whatfix (Digital Adoption Platform - DAP) Strategic

Developing the enterprise DAP strategy to embed knowledge directly into workflows, reducing context switching, support tickets, and accelerating user proficiency with critical applications.

Cornerstone OnDemand / Docebo / LearnUpon (Learning Management System - LMS) Strategic

Integrating the LMS with the broader knowledge ecosystem (e.g., linking wiki articles to formal training). Aligning learning strategy with identified capability and knowledge gaps across departments.

Tableau / Power BI / Looker (Analytics & Visualisation) Strategic

Defining the key metrics for the KM programme (e.g., ticket deflection, time-to-productivity, content ROI) and building executive dashboards to prove the overall business value and inform strategic decisions.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Content Strategy & Governance Follows established content guidelines and templates. Flags potential inconsistencies. Proposes updates to content guidelines. Makes routine decisions on content lifecycle (archive/update). Designs and implements content governance frameworks for specific workstreams. Recommends major policy changes.
Tool Selection & Implementation Uses existing tools effectively. Reports tool issues. Evaluates new features within existing tools. Proposes minor tool enhancements. Selects and configures specific tools for projects (e.g., a new CoP platform). Makes recommendations for larger tool investments.
Team Management & Development Manages own workload. Seeks feedback for personal development. Provides informal guidance to new joiners. Identifies own training needs. Mentors 1-2 junior team members. Leads specific training sessions.
Budget & Resource Allocation Operates within allocated project resources. Estimates resource needs for specific tasks. Flags potential overruns. Manages project budgets up to £50K. Allocates resources within a project.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

New Hire Time-to-Productivity (for target roles)
The average time it takes for new hires in specific roles (e.g., sales, support) to reach a defined level of independent performance, as measured by HR and departmental managers.
Target · 30% reduction year-on-year for identified roles

If a new Sales Executive typically takes 6 months to hit quota, your work should help them get there in 4 months or less. We'll track this through sales performance data and manager feedback.

Knowledge System Adoption Rate
The percentage of target employees actively using key knowledge platforms (e.g., Confluence, internal search engine) at least once a week, measured by system logins and activity logs.
Target · Achieve 85% weekly active users in target departments

If the Sales team has 100 members, we'd expect at least 85 of them to log into the sales knowledge portal or Confluence space weekly. We'll pull these numbers directly from platform analytics.

Content Freshness & Accuracy Score
A weighted score based on the percentage of content reviewed/updated within its lifecycle, and user-reported accuracy issues. This tells us if our knowledge is current and trustworthy.
Target · Maintain an average score of 90% across all managed content

If we have 1,000 articles, 900 need to be within their review cycle, and we should have minimal (less than 1%) user reports of incorrect information. Your team will track this through our content governance tools.

Search Success Rate & Zero-Result Searches
The percentage of searches that result in a click on a top-3 result, and the number of searches yielding no results. This tells us if people are finding what they need.
Target · Increase search success to 80%; reduce zero-result searches by 20%

If 1,000 searches happen daily, 800 should lead to a relevant click. If 50 searches currently return nothing, we want that down to 40. We'll use Coveo analytics for this.

Stakeholder Trust & Strategic Partnership
How much key departmental heads and VPs rely on your team for strategic input on information flow and knowledge gaps, rather than just tactical requests.
  • Being proactively invited to departmental strategy meetings
  • senior leaders seeking your advice on how to structure new information, rather than just telling you to 'put it on the wiki'
  • direct feedback in 1-on-1s about your team's value.
Team Engagement & Development
The overall morale, skill development, and retention within your direct team. Are your team members growing and feeling supported?
  • High scores in internal engagement surveys for your team
  • low voluntary turnover
  • team members successfully completing development programmes and taking on more complex tasks
  • positive feedback from your direct reports in skip-level meetings.
Impact on Decision Quality
The extent to which your knowledge programmes lead to more informed and faster business decisions, reducing rework or errors.
  • Anecdotal feedback from project leads about how accessible knowledge prevented delays or mistakes
  • examples of decisions directly informed by knowledge assets curated by your team
  • fewer instances of 'we didn't know that' in post-mortems.
Culture of Sharing & Contribution
The observable shift towards a more open, collaborative culture where sharing knowledge is seen as a natural part of work, not an extra chore.
  • Increased voluntary contributions to knowledge bases
  • more active Communities of Practice
  • SMEs proactively reaching out to share insights
  • positive comments in company-wide forums about the ease of finding information.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Making a Tangible Impact on Organisational Efficiency

You'll get a real kick out of seeing your team's work directly reduce onboarding time, cut down on support tickets, or help a sales team close deals faster because they had the right info. It's about seeing the numbers move.

When a new hire tells you they found everything they needed for their first week in your onboarding portal, or a manager reports their team is spending 10% less time searching for answers.

Building and Optimising Systems

You love designing logical structures, connecting different tools, and seeing a complex system work seamlessly. The challenge of turning chaos into order, and then making that order even better, really energises you.

Spending an afternoon mapping out a new content lifecycle workflow, or figuring out how to integrate our LMS with the wiki for a smoother learning journey.

Leading and Developing a Team

You enjoy mentoring junior team members, helping them grow their skills, and empowering them to take ownership. Seeing your team succeed and develop under your guidance is a major source of satisfaction.

Coaching a specialist through a tricky stakeholder negotiation, or celebrating when a team member successfully launches a new knowledge initiative.

What frustrates people
  • The 'Wiki Janitor' Perception: Constantly fighting the business's view of your team as glorified librarians, rather than strategic partners.
  • Proving ROI: The benefits of KM are notoriously difficult to quantify, making budget conversations a recurring uphill battle.
  • SME Bottlenecks & Departures: The one person who knows a critical system is always swamped, and the risk of losing that knowledge is a constant anxiety.
  • Political Turf Wars: Navigating the politics of who 'owns' what knowledge, with different departments guarding their information.
  • The Illusion of the Tool: Leadership often believes buying a new, expensive tool will magically solve cultural problems, which you know it won't.
What this role does not give you
  • A purely technical role: While you'll work with tech, this isn't a hands-on coding or deep engineering position.
  • A role with absolute authority: You'll influence far more than you directly control.
  • A static, predictable environment: Priorities can shift quickly, and you'll need to adapt.
  • Immediate, easily quantifiable wins every day: The impact of KM often builds over time and requires patience.

8Who you work with

This role directly impacts organisational efficiency, employee productivity, and the overall speed of decision-making. By optimising knowledge flow, you'll help reduce operational costs, accelerate new hire onboarding, and ensure critical business processes are consistently followed. Essentially, you're building the infrastructure for how we learn and operate as a company.

Inside the business
  • Departmental VPs and Heads (e.g., Head of Sales, Head of Product, Head of Engineering)
  • HR and Learning & Development teams
  • IT and Infrastructure teams
  • Legal and Compliance teams
  • Marketing and Communications
Outside the business
  • Key vendors for knowledge management platforms (e.g., Confluence, Coveo)
  • Industry peers and professional KM networks

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven experience leading and mentoring a team, ideally in a knowledge management, content management, or learning & development function.
  • Demonstrable experience in designing and implementing significant knowledge management programmes or systems (e.g., a new intranet, enterprise search, or CoP framework).
  • A strong track record of influencing senior stakeholders and driving organisational change without direct authority.
  • Experience managing budgets, vendor relationships, and project portfolios, ideally in a technology-heavy environment.
  • Deep understanding of information architecture, content strategy, and user experience principles.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Analytics for Knowledge ROI

Proving the return on investment for KM programmes is becoming more sophisticated. You'll need to go beyond basic content usage metrics and connect knowledge initiatives directly to business outcomes like revenue generation, cost savings, or employee retention, often using advanced statistical methods.

Causal Inference · A/B Testing for KM Initiatives · Predictive Analytics for Content Demand · Data Storytelling for Executives

  • This quarter: Take an online course on advanced Excel functions or basic Python (pandas) for data analysis.
  • Next 6 months: Partner with our Data Science team on one of your KM projects to learn how they approach impact measurement and causal inference.
  • Month 7-9: Start building a 'KM ROI dashboard' that goes beyond simple usage metrics, trying to link activity to business outcomes.
  • Ongoing: Read books or articles on data storytelling to improve how you present your findings to senior leaders.

Quick win: Identify one key business metric (e.g., support ticket volume) and try to correlate changes in that metric with specific KM initiatives you've launched. Even a correlation is a good starting point for a conversation.

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences and webinars (e.g., KMWorld, CIKM) to stay current on trends and network with peers.
  • Participating in online courses or workshops on advanced topics like knowledge graph design, AI for KM, or organisational psychology.
  • Contributing to industry publications or forums, sharing your expertise and building your personal brand.
  • Mentoring junior professionals, which helps solidify your own understanding and leadership skills.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI-Driven Knowledge Orchestration & Prompt Engineering

AI isn't just a tool; it's becoming the orchestrator of knowledge. Competitors are already using Large Language Models (LLMs) to automatically generate first drafts of documents, summarise meetings, and even answer complex user queries. Managers who understand how to strategically deploy and 'engineer' prompts for these tools will unlock massive productivity gains for their teams and the wider organisation.

  • Strategic Prompt Design
  • Retrieval-Augmented Generation (RAG) Architectures
  • AI Output Validation & Governance
  • Ethical AI & Bias Mitigation

Knowledge Graph Design & Semantic Search

Traditional taxonomies are good, but knowledge graphs are the next level. They allow us to map complex relationships between pieces of information, people, and projects, enabling truly intelligent search and discovery. As our data grows, this will be critical for finding answers that span multiple systems and contexts.

  • Nodes and Edges
  • Graph Databases
  • Semantic Reasoning
  • Ontology Mapping

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Taxonomy & Ontology Design
  • Community of Practice (CoP) Strategy & Facilitation
  • Content Governance & Lifecycle Management
  • Knowledge Mapping & Gap Analysis
  • SECI Model Application (Nonaka & Takeuchi)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Senior Knowledge Specialist / Lead Knowledge Architect

    5-8 years of prior experience

    Skills to master

    • Deep expertise in taxonomy, content governance, and platform configuration. Proven ability to lead projects and mentor junior colleagues. Strong stakeholder engagement skills.

    You're ready to move on when

    • Successfully led a major content migration or system implementation project end-to-end.
    • Consistently received feedback on your ability to influence and persuade without direct authority.
    • Demonstrated capacity to design complex information architectures.
    • Actively mentored 1-2 junior team members.
  2. 2

    Programme Manager (from a related field like L&D or Product)

    8-12 years of prior experience

    Skills to master

    • Strong programme management skills, experience with cross-functional leadership, and a proven track record of delivering complex initiatives. You'll need to quickly learn the nuances of KM methodologies and tools.

    You're ready to move on when

    • Managed programmes with budgets over £250K and multiple workstreams.
    • Successfully led teams of 5+ people.
    • Demonstrated ability to quickly grasp new domains and apply structured problem-solving.
    • Strong communication and stakeholder management skills.
  3. 3

    Consultant (Knowledge Management / Information Architecture)

    10-15 years of prior experience

    Skills to master

    • Broad exposure to different KM challenges and solutions across various industries. Strong strategic thinking, client management, and presentation skills. You'll need to adapt your consulting mindset to an in-house operational leadership role.

    You're ready to move on when

    • Led multiple KM strategy or implementation projects for external clients.
    • Developed and presented strategic recommendations to C-suite level executives.
    • Proven ability to quickly diagnose organisational challenges and propose practical solutions.
    • Experience managing project teams and client relationships.

15Where this role leads

The long view: This work can lead to roles such as Chief Knowledge Officer, shaping knowledge strategy at senior level, or Head of Digital Transformation, applying that understanding of information systems more widely.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Manager, Knowledge Sharing & Enablement is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Manage knowledge in an organisation, worked against Manager, Knowledge Sharing & Enablement.

Manage knowledge in an organisation Level 5

Applied to your work in Manager, Knowledge Sharing & Enablement

This unit aims to provide learners with an understanding of knowledge management principles, strategies, and the role of technology within organisations. Upon completion, learners will be able to identify, assess, and effectively manage knowledge assets to support organisational objectives.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

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See Your Progress Grow Illustration
Manager, Knowledge Sharing & Enablement
  • Taxonomy & Ontology Design
  • Community of Practice (CoP) Strategy & Facilitation
  • Content Governance & Lifecycle Management
  • Knowledge Mapping & Gap Analysis
  • SECI Model Application (Nonaka & Takeuchi)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Manager, Knowledge Sharing & Enablement is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director of Knowledge Management

    3-5 years in this Manager role

    L6

    • Defining multi-year KM roadmaps for entire business units
    • Proving quantifiable business impact (ROI) to VPs and C-suite
    • Leading large-scale cultural transformation initiatives
    • Managing relationships with key strategic partners and industry bodies
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, managing knowledge across a growing organisation is a massive undertaking. There's always too much content, too little time, and the constant battle against 'stale content' and 'knowledge hoarding'. But what if you could offload some of the most tedious, time-consuming tasks to AI? Imagine what your team could achieve then.

As a Manager, Knowledge Sharing & Enablement, you're not just looking for marginal gains; you're looking for game-changers. AI isn't here to replace your strategic thinking, but it's brilliant at handling the heavy lifting of content analysis, organisation, and even generation. This means you and your team can focus on the high-value work: engaging SMEs, designing brilliant user experiences, and proving the ROI of your programmes. Here's how AI can transform your daily work:

Automated Content Tagging & Categorisation

Use NLP models to automatically scan new documents, wiki pages, and even Slack conversations, suggesting relevant tags from your corporate taxonomy. It can also flag potential duplicate content before it becomes a problem. This frees up your team from the manual, often tedious, task of classification.

Generative AI-Powered Search & Summarisation

Implement a search tool that uses a Large Language Model (LLM) to provide direct, synthesised answers to user questions, citing the source documents, instead of just returning a list of links. It can also auto-summarise long documents, saving your users (and your team) hours of reading time. This dramatically improves 'findability' and user satisfaction.

Dynamic 'Expert Finder' Profiling

Leverage AI to analyse project management data (like Jira), code repositories (GitHub), and internal communications (Teams/Slack) to create and maintain a real-time map of 'who knows what'. This automatically updates, reducing the time your team spends manually tracking down experts and uncovering hidden knowledge pockets across the organisation.

Content Gap & Staleness Analysis

Use AI to analyse search logs for high-volume queries with no results, automatically identifying critical knowledge gaps that need filling. It can also flag content with declining viewership or no updates for over 12 months as potentially stale, automating a significant part of your content audit process. This proactively prevents the erosion of user trust and ensures your knowledge base stays relevant.

Common questions

Common questions

How do you become a Manager, Knowledge Sharing & Enablement?

Common routes in include Senior Knowledge Specialist / Lead Knowledge Architect (5-8 years of prior experience), Programme Manager (from a related field like L&D or Product) (8-12 years of prior experience) and Consultant (Knowledge Management / Information Architecture) (10-15 years of prior experience). Times vary with prior experience.

Where can a Manager, Knowledge Sharing & Enablement progress to?

This role can lead on to Director of Knowledge Management (3-5 years in this Manager role), depending on the skills you build.

What new skills matter most for a Manager, Knowledge Sharing & Enablement?

Increasingly, AI-Driven Knowledge Orchestration & Prompt Engineering and Knowledge Graph Design & Semantic Search. These are the skills our record of this role lists as growing.

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17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in knowledge management

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills built here, including strategic thinking, change management, systems design and influencing others, apply beyond knowledge management. They can lead to operational leadership, product management for knowledge-based products, or consulting on how organisations work.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.