Scan your resume against ATS criteria for this Associate - Knowledge Management role at zinnov.
Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face:
Where should we invest?
How do we scale globally?
What capabilities will win in the next decade?
Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being
— not opinion-heavy slideware.
At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity.
Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations.
Zinnov’s Corporate Functions teams power how the firm delivers at scale—building the internal engine behind high-growth, high-impact work. You’ll get:
Hands-on ownership in running and scaling core operations (including Legal, Compliance, Risk, and Governance).
Exposure to end-to-end enablement models that strengthen operating engines, employee experience, and scalable processes.
A highly cross-functional environment with close collaboration across delivery/PMO and domain teams to drive consistent execution.
At Zinnov, knowledge is not documentation. It is strategic capital.
As an
, you will help architect, govern, and scale an
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 across marketing systems and repositories.
Manage and optimize SharePoint 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.
End-to-end Content Management
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.
Build dashboards tracking repository usage, search success, and content contribution.
Translate usage data into structured improvement plans.
Identify knowledge gaps and improvement areas through data-led diagnosis.
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, documents, and structured data.
Partner with SMEs to capture tacit knowledge and convert it into reusable assets.
Conduct knowledge harvesting and documentation workshops.
2–3 years of experience in Knowledge Management or content systems.
Strong hands-on expertise in SharePoint 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 strong systems orientation.
Marketing knowledge becomes easier to discover and reuse—strong taxonomy, cleaner portals, and better search success.
Repositories stay governed and current—redundant content reduces and lifecycle routines run predictably.
Adoption improves—teams contribute more consistently and rely on KM assets in daily execution.
AI enablement compounds—auto-tagging, summarization, and Q&A reduce manual effort and improve speed-to-insight.
Reporting becomes decision-ready—dashboards show what’s used, what’s missing, and what to improve next.
We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, communities, and experiences.
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 strong systems orientation.
Marketing knowledge becomes easier to discover and reuse—strong taxonomy, cleaner portals, and better search success.
Repositories stay governed and current—redundant content reduces and lifecycle routines run predictably.
Adoption improves—teams contribute more consistently and rely on KM assets in daily execution.
AI enablement compounds—auto-tagging, summarization, and Q&A reduce manual effort and improve speed-to-insight.
Reporting becomes decision-ready—dashboards show what’s used, what’s missing, and what to improve next.
We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, communities, and experiences.
How to apply for Associate - Knowledge Management at zinnov?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
3+ yrs of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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Associate - Knowledge Management
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