AI Transformation Lead & Business Value

Project overview

As part of accelerating the adoption of Artificial Intelligence, particularly generative AI solutions, we are looking for an AI Transformation Lead & Business Value capable of supporting business units in identifying, prioritizing, and operationally deploying AI use cases.

The role sits at the interface between business, transformation, digital, IT/Data, and AI governance teams. The main objective is to transform the opportunities offered by AI into concrete, adopted, and value-creating use cases, while supporting the governance of new uses, especially around agents built with Microsoft Copilot Studio.

Main Missions

AI Transformation & Strategy

Business Value & Use Cases

Adoption & Change Management

Generative AI & Agents

Candidate Profile

Work Environment

• Support business departments in identifying opportunities for using AI and generative AI.
• Lead discovery and qualification workshops for business needs.
• Structure and prioritize a portfolio of AI use cases based on their value, feasibility, risk level, and adoption potential.
• Build AI transformation and adoption roadmaps with various stakeholders.
• Build the business cases associated with AI initiatives.
• Define indicators to measure the value generated by AI solutions: productivity gains, time reduction, quality, user satisfaction, automation, cost reduction, etc.
• Implement value monitoring before and after deployment.
• Identify use cases for industrialization, evolution, or abandonment based on their actual value.
• Present results and recommendations to sponsors and business departments.
• Define adoption pathways suitable for different business populations.
• Support the transition from POC to operational use, and then to scaled adoption.
• Identify adoption barriers and propose corrective actions.
• Build acculturation, communication, training, and support programs.
• Develop a community of AI ambassadors/champions within the organization.
• Measure the adoption and effective use of deployed solutions.
• Support business units in identifying relevant use cases for generative AI and agents.
• Participate in the functional and business scoping of agents developed with Microsoft Copilot Studio.
• Define governance principles for the creation, publication, use, and lifecycle of agents.
• Collaborate with IT, security, Data, compliance, and architecture teams to ensure controlled adoption.
• Contribute to defining validation processes before agents go into production.
• 5 to 10+ years of experience in digital transformation, innovation, consulting, change management, or Data/AI transformation.
• Significant experience in the operational deployment of AI / generative AI solutions, without needing to be a developer or Data Scientist.
• Very good ability to understand a business need and transform it into a concrete AI use case.
• Experience in managing and prioritizing a portfolio of use cases.
• Mastery of adoption, change management, and business transformation issues.
• Experience in building Business Cases and measuring ROI / Business Value.
• Good understanding of issues related to generative AI, copilots, and AI agents.
• Knowledge of Microsoft Copilot Studio and agent governance highly appreciated.
• Ability to work with stakeholders at Director/EXCOM level as well as with IT, Data, and business teams.
• Excellent communication skills, synthesis ability, and consulting posture.
• Generative AI / Artificial Intelligence and digital transformation environment
• Microsoft 365 Copilot
• Microsoft Copilot Studio
• AI Agents / Copilot Agents
• Power Platform: Power Automate, Power Apps
• Governance of agents and AI uses
• Management and prioritization of AI Use Cases
• Business Value / ROI / KPI Frameworks
• Adoption & Change Management
• Collaboration with Business, Data, IT, Security, Architecture, and Compliance teams
• Agile Methods / Design Thinking / Business workshops
• Steering and reporting tools: Power BI, Jira, Confluence, Microsoft Teams

Project details

• Start: 03/01/2027
• Duration: 6 mois
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French