Associate - Knowledge Management
About this role
The Associate - Knowledge Management works to architect, govern, and scale an AI-enabled knowledge ecosystem that supports marketing, thought leadership, and enterprise impact at Zinnov. This role is situated at the intersection of information architecture, automation, analytics, and artificial intelligence. The day-to-day involves transforming how institutional knowledge is captured, structured, discovered, and activated across various marketing systems and repositories. Candidates will focus on designing enterprise knowledge architecture, managing content lifecycles, and leveraging AI tools to enhance knowledge retrieval.
Key responsibilities include optimizing SharePoint Online portals, building metadata schemas, and implementing governance frameworks. A significant part of the work involves applying AI to automate tasks like auto-tagging and summarization, and supporting the implementation of LLM-driven search systems. This position exists to ensure that Zinnov's strategic knowledge is accessible, governed effectively, and actively used to drive business decisions.
This role is suitable for an individual who thrives on creating structured systems, possesses a strong analytical mindset, and is eager to apply AI concepts to complex information management problems. The ideal candidate will enjoy hands-on ownership, cross-functional collaboration, and seeing their work directly influence how organizational knowledge is utilized for impact.
What you will do
- 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.
- Define and operationalize content lifecycle frameworks.
- Audit repositories and eliminate redundant or outdated content.
- Build dashboards tracking repository usage, search success, and content contribution.
- Apply AI tools for auto-tagging, summarization, and intelligent Q&A.
What you need
- Possesses 2–3 years of experience in Knowledge Management or content systems.
- Requires strong hands-on expertise in SharePoint Online or enterprise KM platforms.
- Must have experience in metadata design, taxonomy creation, and workflow configuration.
- Needs an understanding of knowledge lifecycle and governance frameworks.
- Requires a working knowledge of AI/ML fundamentals and LLM concepts.
- Familiarity with NLP use cases such as classification and entity extraction is necessary.
- Should have experience using AI productivity tools.
- A strong analytical mindset, demonstrated by proficiency in Excel or Power BI, is required.
Nice to have
- Experience with multi-model AI use cases across text, documents, and structured data
Benefits
- Steep learning curves
- Honest feedback
- Chance to see work influence real business decisions
Skills and tech stack
Questions candidates ask
What is the remote policy for this role?
The posting does not explicitly detail the remote work policy for this position.
What is the typical compensation for this role?
The salary information is not provided in the job posting.
What is the primary technology stack used?
The core technologies mentioned include SharePoint Online, AI tools, and LLM concepts.
What is the team structure like?
The role involves close collaboration across delivery/PMO and domain teams.