Knowledge Coordinator
Post Date:
Mar 9, 2026
Location:
Chennai
Company:
AVASO TECH PRIVATE LIMITED
Role - Knowledge Coordinator (Process s Quality Coordinator)
Purpose
Ensures all knowledge articles created across functions consistently follow approved taxonomy, metadata standards, quality benchmarks, and AI ingestion guidelines while remaining clear, intuitive, and genuinely useful for end users.
Key Responsibilities
Knowledge Quality s Governance
- Validate completeness and accuracy of mandatory metadata (category, sub-category, tags, CI, ownership).
- Ensure articles comply with approved templates, writing standards, and AI ingestion requirements.
- Review articles for clarity, structure, and consistency before publication or ingestion.
- Support Knowledge Managers during audits, governance reviews, and compliance checks.
End-User Experience s Readability
- Review content through an end-user lens to ensure language is simple, actionable, and easy to understand.
- Ensure articles reflect how users naturally ask questions and seek help (plain language, intent-based phrasing).
- Identify and correct content that is overly technical, ambiguous, or misaligned with user expectations.
- Guide Knowledge Champions to improve readability, tone, and relevance without altering technical accuracy.
Lifecycle s Operational Oversight
- Maintain and publish monthly review dashboards (outdated, retiring articles).
- Monitor knowledge health trends and proactively flag quality or lifecycle risks.
- Track AI Digital Assistant ingestion issues and coordinate fixes with custodians and managers.
- Ensure corrective actions are followed through to closure.
Cross-Functional Coordination
- Act as the central quality checkpoint between authors, Knowledge Champions, custodians, and managers.
- Provide constructive feedback and coaching to improve overall content maturity.
- Ensure consistent application of standards across regions and functions.
Success Measures
- ≥ 95% metadata completeness rate across published articles.
- Zero AI ingestion failures caused by template, formatting, or structure issues.
- 100% on-time delivery of monthly knowledge review and lifecycle reports.
- Measurable improvement in article clarity and AI answer accuracy over time.
Core Competencies s Traits (Implicit User-Support Mindset)
- Strong ability to interpret user intent and anticipate what information users need.
- Comfortable translating complex or technical content into clear, human-readable guidance.
- Detail-oriented with a strong sense of quality, consistency, and usability.
- Process-driven, but pragmatic - balances governance with real-world usability.
- Collaborative communicator who can guide improvements without rewriting ownership.
- High awareness of how AI and search systems interpret and surface knowledge.
Why This Role Matters
This role acts as the quality gatekeeper and user advocate for the knowledge ecosystem ensuring content is not only compliant and AI-ready, but also meaningful, usable, and trusted by employees.