Knowledge Manager - AI & Content Strategy
Unisys (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 20h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Unisys
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Unisys you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and maintain a comprehensive knowledge-management framework including taxonomy, governance, and content workflows to turn fragmented documentation into authoritative knowledge assets.
- Lead hands-on SharePoint knowledge architecture and partner with technical teams to support AI knowledge readiness, including preparation for Microsoft Copilot and other AI knowledge solutions.
- Drive content creation enablement, learning adoption, and continuous improvement through metrics, reporting, and cross-functional collaboration with business, learning, and technical stakeholders.
Minimum Requirements
- Bachelor's degree in Knowledge Management, Library or Information Science, Instructional Design, Information Systems, Communications, Business, or related field.
- 7+ years experience in knowledge management, content strategy, information architecture, content operations, organizational learning, or related discipline.
- Hands-on SharePoint experience with hubs, sites, libraries, content types, metadata, permissions, navigation, and search.
- Experience supporting AI knowledge solutions such as Microsoft Copilot, AI assistants, enterprise search, or RAG-based implementations.
Ideal Candidate Profile
- Experienced individual contributor at manager level who can influence knowledge frameworks and governance without direct authority.
- Strong ability to design taxonomies, content standards, and knowledge lifecycle governance aligned with business priorities and user needs.
- Skilled in converting expert knowledge into accessible reusable content and able to manage cross-functional collaboration in globally distributed environments.