Role OverviewLead the evolution of the knowledge ecosystem from a traditional content repository into a scalable, measurable, AI-enabled platform that powers search, automation, decision-making, and intelligent agent experiences.
What You Will Do
Build a trusted and measurable knowledge ecosystem, define and implement KPIs, drive automation of content governance, review cycles, and lifecycle management, and create actionable insights to improve overall knowledge quality.
Why It Might Be a Fit
The ideal candidate combines strong technical depth with strategic product leadership and has successfully delivered AI-driven solutions from concept through adoption.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent professional experience.
- Experience leading enterprise-scale AI, Generative AI, knowledge management, search, or digital transformation initiatives.
- Demonstrated success delivering solutions from strategy and design through implementation, adoption, and measurement.
- Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, vector search, and agentic AI architectures.
- Experience designing knowledge retrieval, grounding, and information access strategies for AI-enabled solutions.
- Knowledge of enterprise information architecture, metadata, taxonomy design, governance, and content lifecycle management.
- Experience integrating enterprise systems through APIs, connectors, data pipelines, and modern cloud-based architectures.
- Proven ability to lead cross-functional programs and influence stakeholders across business and technology organizations.
- Strong analytical and problem-solving skills with a focus on measurable outcomes.
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