Knowledge Management & AI Consultant

CLEEVEN; Besançon; On-site; EUR 80,000 - 120,000; Full time

Job summary

Cleeven Group is seeking an experienced Knowledge Management & AI Consultant to support a Swiss client in designing an enterprise knowledge management strategy within an R&D environment. The focus will be on strategy, architecture and solution design rather than hands-on development.

You will define KM strategy, design the target Knowledge Architecture, including Knowledge Graphs and metadata management, establish data governance, and specify ingestion approaches for unstructured data.

Qualifications

• Proven experience in Knowledge Management, Information Architecture or Data Architecture.
• Experience designing enterprise knowledge management solutions and structuring unstructured information.
• Ability to translate business requirements into actionable architectures and processes.
• Good understanding of how enterprise knowledge can be structured and leveraged by AI solutions.
• Strong analytical, communication and stakeholder management skills.
• Experience with GenAI, RAG or semantic technologies would be a strong advantage.

Responsibilities

• Define a Knowledge Management strategy aligned with business needs and future AI use cases.
• Design the target Knowledge Architecture, including Knowledge Graphs, metadata management, information classification and segmentation.
• Define Knowledge Ingestion approaches for collecting and integrating unstructured data from multiple sources.
• Establish Data Governance principles covering data quality, confidentiality, access rights and information lifecycle.
• Design processes for knowledge organization, maintenance and continuous updates.
• Collaborate with business stakeholders, IT and Data/AI teams to ensure technical feasibility and alignment with business objectives.

Skills

Knowledge Graphs

Knowledge Ingestion

Metadata Management

RAG / GenAI

Architecture & Process Design

Job description

CLEEVEN is a European consulting company founded on two core beliefs:

• The excellence of European engineers should be a driving force behind global competitiveness.


• Our human mission is to support our consultants in their personal and professional development.

Project Context:

For one of our clients in Switzerland, we are looking for an experienced Knowledge Management & AI Consultant to support the design of an enterprise knowledge management strategy within an R&D environment.

The objective is to structure and make internal knowledge accessible and exploitable by AI solutions, leveraging information currently spread across various sources (SharePoint, emails, presentations, PDFs, etc.).

The mission primarily focuses on strategy, architecture and solution design, rather than hands-on development.

Your Responsibilities:

• Define a Knowledge Management strategy aligned with business needs and future AI use cases.


• Design the target Knowledge Architecture, including Knowledge Graphs, metadata management, information classification and segmentation.


• Define Knowledge Ingestion approaches for collecting and integrating unstructured data from multiple sources.


• Establish Data Governance principles covering data quality, confidentiality, access rights and information lifecycle.


• Design processes for knowledge organization, maintenance and continuous updates.


• Collaborate with business stakeholders, IT and Data/AI teams to ensure technical feasibility and alignment with business objectives.

Key Skills:

• Knowledge Graphs, Ontologies & Semantic Technologies


• Knowledge Ingestion & Unstructured Data


• Metadata Management & Data Governance


• Understanding of RAG (Retrieval-Augmented Generation) architectures and GenAI applications


• Functional and Technical Architecture, Process Design

Your Profile:

• Proven experience in Knowledge Management, Information Architecture or Data Architecture.


• Experience designing enterprise knowledge management solutions and structuring unstructured information.


• Ability to translate business requirements into actionable architectures and processes.


• Good understanding of how enterprise knowledge can be structured and leveraged by AI solutions.


• Strong analytical, communication and stakeholder management skills.


• Experience with GenAI, RAG or semantic technologies would be a strong advantage.