Dear Candidate,
Greetings from AkzoNobel (Experts in the proud craft of making paints and coatings since 1792)
Company Profile - AkzoNobel has a passion for paint. We're experts in the proud craft of making paints and coatings, setting the standard in color and protection since 1792. Our world class portfolio of brands - including Dulux, International, Sikkens and Interpon - is trusted by customers around the globe. Headquartered in the Netherlands, we are active in over 150 countries and employ around 34,500 talented people who are passionate about delivering the high-performance products and services our customers expect.
We are hiring for the role of Knowledge Manager - AI and Automation at Pune (Hybrid role), below is the job description as required.
Purpose of the job
The Knowledge Manager will lead the organization's transition to an AI-ready knowledge state by establishing strong knowledge governance, improving content quality and structure, and reducing fragmentation of information spread across multiple tools (e.g., SharePoint, ServiceNow, Confluence, Google Drive, Slack/Teams, ticketing systems, wikis). This role will define and drive a scalable knowledge operating model so content is findable, trustworthy, reusable, and ready for AI-powered search, assistants, and automation.
Key responsibilities
1) Knowledge Strategy & AI-Readiness
- Define and deliver a knowledge strategy aligned to business goals and AI enablement (search, copilots, RAG/LLM assistants, automation).
- Establish an AI-ready content framework: standards for structure, metadata, taxonomy, freshness, and ownership.
- Partner with data/AI teams to ensure knowledge content can be safely and effectively used in AI applications (e.g., retrieval quality, chunking readiness, access controls).
2) Content Governance & Operating Model
- Create governance for distributed content teams: ownership, approval workflows, review cadences, and lifecycle management.
- Set policies for what should be documented, where it should live, and how it should be maintained.
- Define and operationalize KPIs (e.g., findability, reuse, deflection, freshness, quality score, duplication rate).
3) Tool & Content Consolidation (Multi-Tool Environment)
- Assess current knowledge ecosystem and map content across repositories and workflows.
- Rationalize tools and define source of truth principles and publishing models (authoring vs. consumption layers).
- Lead initiatives to reduce duplication, consolidate critical knowledge, and improve discoverability across systems.
4) Taxonomy, Metadata, and Information Architecture
- Design and maintain enterprise taxonomy and controlled vocabulary aligned to products, processes, customers, and internal functions.
- Define required metadata and templates to support filtering, search relevance, and AI retrieval accuracy.
- Implement content standards: naming conventions, tagging rules, page structures, and content types (FAQs, SOPs, how-tos, troubleshooting, policies).
5) Knowledge Quality, Lifecycle, and Content Excellence
- Establish a content quality framework (accuracy, clarity, completeness, accessibility, compliance).
- Run regular audits to identify stale/duplicate/low-value content and drive remediation.
- Create templates, style guides, and playbooks for authors across the organization.
6) Change Management & Enablement
- Drive adoption of knowledge practices through training, communications, and stakeholder engagement.
- Build a community of practice for knowledge owners and contributors.
- Coach teams on writing for reuse and AI (task-based writing, modular content, consistent terminology).
7) Cross-Functional Collaboration
- Partner with IT, Security, Legal/Compliance, Product, Support/Customer Success, HR, and Operations to ensure knowledge is governed and usable.
- Align knowledge practices with enterprise search, identity/access management, and data privacy requirements.
- Support AI initiatives by providing curated, high-quality knowledge sources and feedback loops.
Job Requirements
Required Skills & Experience
- 510+ years in knowledge management, content operations, information architecture, or enterprise content management.
- Experience building governance models and driving adoption across multiple teams/tools.
- Strong understanding of taxonomy, metadata, and content lifecycle management.
- Practical experience improving enterprise search and/or preparing content for AI retrieval (RAG), copilots, or automation.
- Excellent stakeholder management and change leadership skills.
- Strong writing/editing and content design skills (clarity, reuse, structured content).
Preferred Qualifications
- Experience with tools such as Confluence, SharePoint, ServiceNow Knowledge, Zendesk Guide, Salesforce Knowledge, Notion, Guru, or similar.
- Familiarity with search technologies (Microsoft Search, Elastic, Coveo, Google Cloud Search) and relevance tuning.
- Understanding of AI/LLM concepts (RAG, embeddings, chunking, prompt patterns, evaluation of answer quality).
- Experience in regulated environments with content compliance, retention, and access controls.
Regards,
Team AkzoNobel
