AI Transformation Lead

Il y a 2 jours

Fresnes, Ile-de-France GreenYellow Temps plein
Since its inception, GreenYellow has applied the philosophy that has driven its success: to be a strong global and local partner committed for the long term, making the energy transition a source of value creation for its customers.

We offer
our customers a comprehensive decarbonisation solution built around decentralised, low-carbon energy generation (solar photovoltaic), the reduction and optimisation of energy consumption through energy efficiency and the electrification of end uses, and the deployment of battery energy storage solutions (BESS). GreenYellow has more than 900 employees, including 250 in France. GreenYellow aims to accelerate the deployment of artificial intelligence to improve its operational performance, productivity and capacity for innovation. To support this ambition, the Group is creating an AI Transformation Lead position, responsible for turning AI opportunities into tangible business outcomes across the Group. Working at the crossroads of business, technology and transformation, the AI Transformation Lead will be responsible for:
• structuring the Group's AI governance
• identifying and delivering the most value-creating AI and Data Science use cases;
• accelerating the adoption of Copilot and the Microsoft ecosystem;
• developing capabilities and leading the AI community across the Group The role will work closely with CODE (the Group-level entity responsible for Operations and Digitalisation), our IT teams, and the various BUs and business functions.

Key responsibilities
Orchestrate AI governance
• Organise the collection, assessment and prioritisation of AI initiatives, and build a shared AI roadmap.
• Lead the network of AI representatives and promote the replication of solutions across entities.
• Ensure consistency in technology choices and compliance with security, confidentiality and responsible AI requirements.
• Monitor progress, resources deployed and benefits achieved. Develop priority use cases
• Work with business functions and BUs to identify high-potential AI and Data Science opportunities.
• Assess their value, feasibility and replication potential.
• Manage the use-case portfolio, directly developing selected use cases.
• Measure adoption and the value actually created. Accelerate adoption of the Microsoft ecosystem
• Drive the adoption of Microsoft Copilot as the Group's generative AI environment.
• Support business functions in using Copilot Studio, Fabric, Azure, Power BI and Power Platform, selecting the most appropriate solution for each need.
• Collaborate with IT on architecture, security and industrialisation, and develop reusable standards and agents.
• Maintain an active watch on technology developments. Build capabilities and drive change
• Define, together with HR and IT, a training strategy tailored to business functions and levels of maturity.
• Organise practical, recurring training sessions focused on use cases and the responsible use of AI.
• Support advanced teams in creating agents and automation solutions.
• Measure capability development and the extent to which training translates into actual usage. Mobilise expertise and partners
• Map and engage AI and Data Science capabilities across the Group.
• Mobilise a network of external partners (Microsoft, consultants, experts, etc.) and select the most appropriate delivery model.
• Ensure knowledge and skills are transferred to internal teams. Candidate profile The role requires a versatile professional who can combine an understanding of business challenges, technical credibility and the ability to lead cross-functional transformation in an international environment. Experience and skills
• Higher education degree in engineering, computer science, Data Science, applied mathematics or an equivalent field. Candidates with a more generalist education, particularly from a business school, will also be considered if they have significant experience deploying AI solutions.
• Experience in developing or deploying Data Science solutions, generative AI, agents or automation.
• Ability to translate a business need into a tangible solution, with a strong understanding of data, security and governance considerations.
• Hands-on knowledge of the Microsoft ecosystem (Copilot, Copilot Studio, Fabric, Azure, Power BI and Power Platform). As a company committed to inclusion and diversity, GreenYellow welcomes all applications, and all our positions are open to people with disabilities.