Employer description & source details
Meet with clients to collect requirements and understand current knowledge management challenges. Define problem statements and measurable goals aligned to the client's business outcomes. Configure and customize the KM Solution to meet individual client needs and workflows. Communicate with clients throughout the implementation process to obtain feedback and approvals. Educate clients on platform usage, features, and best practices through training sessions. Create client-specific implementation documents detailing all configurations and customizations made. Coordinate with the internal team to track key deliverables and project milestones. Provide time and cost estimates for additional customization requests. Deliver on-floor and remote hypercare support post go-live. Address application queries and facilitate discussions on new features or enhancements. Basic understanding of AI concepts — NLP, smart search, chatbots, and AI-assisted content recommendations — as they apply to KM platforms. Ability to explain AI-powered features to non-technical stakeholders in simple, business-relevant terms. Awareness of how AI integrations with third-party tools (CRMs, ticketing, ITSM) work in practice. Minimum working knowledge of how software applications are built, deployed, and configured (no coding required). Familiarity with APIs, webhooks, and integration concepts at a conceptual level. Ability to read and interpret basic technical documentation, configuration guides, or system logs to coordinate with dev teams. Understanding of SDLC stages to communicate effectively with product and engineering during escalations. Strong verbal and written communication skills — able to engage both business and technical stakeholders. Proficiency in Microsoft Office Suite (Word, Excel, Power
Extracted skills: go, aws, azure, excel, project management