Associate - Knowledge Management

About the Role

At Zinnov, knowledge is not documentation. It is strategic capital.

We are looking for a Knowledge Management Associate who can help us architect, govern, and scale an AI-enabled knowledge ecosystem that powers marketing, thought leadership, and enterprise impact.

This role sits at the intersection of information architecture, automation, analytics, and AI. You will work closely with the KM Lead to transform how institutional knowledge is captured, structured, discovered, and activated.

What You Will Drive

Enterprise Knowledge Architecture

• Manage and optimize SharePoint Online and enterprise knowledge portals
• Design scalable site structures, permission models, and workflows
• Build metadata schemas, taxonomy frameworks, and tagging standards
• Improve enterprise-wide discoverability and search performance

Governance & Lifecycle Excellence

• Define and operationalize content lifecycle frameworks
• Audit repositories and eliminate redundant or outdated content
• Standardize documentation formats and knowledge templates
• Ensure compliance with governance and information standards

Analytics-Led KM Optimization

• Build dashboards tracking repository usage, search success, and content contribution
• Translate usage data into structured improvement plans
• Identify knowledge gaps and improvement areas

AI-Enabled Knowledge Transformation

• Apply AI tools for auto-tagging, summarization, and intelligent Q&A
• Support implementation of LLM-driven search and recommendation systems
• Assist in prompt design, evaluation of AI outputs, and governance frameworks
• Explore multi-model AI use cases across text, document, and structured data

Stakeholder Enablement

• Partner with SMEs to capture tacit knowledge
• Conduct knowledge harvesting and documentation workshops
• Drive KM adoption across teams

What You Bring:

• 2 to 3 years of experience in Knowledge Management or Content Systems
• Strong hands-on expertise in SharePoint Online or enterprise KM platforms
• Experience in metadata design, taxonomy creation, and workflow configuration
• Understanding of knowledge lifecycle and governance frameworks
• Working knowledge of AI/ML fundamentals and LLM concepts
• Familiarity with NLP use cases such as classification and entity extraction
• Experience using AI productivity tools
• Strong analytical mindset with Excel or Power BI proficiency
• Structured thinking and systems orientation

Why Join Zinnov?

• Shape the knowledge backbone of a global consulting firm
• Work on AI-driven enterprise transformation initiatives
• Operate at the intersection of GCCs, digital innovation, and strategic growth
• Build scalable systems that influence how intellectual capital drives impact