Chief Data & AI Officer

Overview

Permanent Regular Job Description: Pluxee is a global player in employee benefits and engagement that operates in 31 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits. Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants. Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet.

Key Responsibilities

• Define and execute a unified Data & AI vision aligned with Pluxee’s business strategic roadmap and Pluxee strategy.
• Develop a 3‑year roadmap combining data maturity, AI innovation, and platform scalability at global level.
• Lead the Data team and Data & AI / Gen AI Cockpit, articulating with relevant Functional stakeholders at executive and operational level.
• Govern investment, prioritization, and performance tracking across the data and AI portfolio, ensuring measurable business value through clear KPIs and delivery discipline.
• Partner with all relevant Pluxee Functions – Product, Sales & Marketing, Customer Care, HR, Finance, Communications, Legal, IT, and Operations – to identify and deliver AI‑powered features and data‑driven user experiences.
• Build and manage a portfolio of reusable Data Products (customer graphs, recommendation engines, scoring models, pricing intelligence) designed to support multiple use cases and managed through a clear lifecycle approach.
• Drive the AI roadmap from experimentation to scalable deployment across Pluxee’s businesses, turning proofs of concept into operational capabilities through robust MLOps practices and close collaboration with product and technology teams.
• Promote a culture of data‑informed decision making by embedding measurement and learning frameworks into key business and product delivery cycles.
• Lead the evolution of the Group’s data and AI platform, ensuring reliability, scalability, and security.
• Oversee data ingestion, transformation, modelling, and governance across structured and unstructured data.
• Implement robust MLOps practices for model deployment, monitoring, and lifecycle management.
• Collaborate with other Product & Technology Competence Centers / Teams to align architecture, cybersecurity, and infrastructure standards.
• Identify, prioritise, and scale ML, AI and Gen AI use cases across business domains (fraud prevention, personalisation, pricing, customer service).
• Lead the creation of an AI Incubator or Centre of Excellence to accelerate AI experimentation and industrialisation.
• Promote the adoption of generative AI and LLM‑based solutions, ensuring compliance and ethical governance.
• Partner with Design & UX teams to enhance product experiences through intelligent, data‑driven features.
• Define and enforce data governance and quality standards across markets and products.
• Ensure compliance with data privacy, security, and AI regulations (GDPR, AI Act, local standards).
• Maintain transparency, lineage, and accountability for data and AI assets.
• Collaborate with Legal, Security, and Risk teams to manage ethical AI and data responsibility.
• Build and inspire a high‑performing Data & AI organization (engineering, data science, product analytics, governance).
• Foster a culture of collaboration, experimentation, and data‑driven decision‑making.
• Animate the internal Data Community and promote cross‑functional alignment across functions.
• Represent Pluxee in the external AI ecosystem (partners, vendors, academia, innovation networks).

Qualifications

• Strategic & Business Leadership with ability to own and articulate an enterprise‑wide Data & AI strategy aligned with corporate objectives and linked to P&L, revenue growth, efficiency gains, and ROI.
• Proven leadership in enterprise data governance: data quality, lineage, ownership, privacy, ethics and regulatory compliance (GDPR, EU AI Act).
• Experience moving AI from pilot/POC to production and scale across multiple business domains; strong command of MLOps / GenAI Ops including monitoring, lifecycle management, and performance drift control.
• Strong understanding of modern cloud‑based data stacks and AI platforms; ability to set architectural direction and standards.
• Ability to embed data‑ and AI‑driven decision‑making into business routines, manage change, and upskill non‑technical leaders and teams.
• Proven experience leading large, multi‑country Data & AI teams, designing scalable operating models and attracting/retaining scarce talent.

Benefits

• Meaningful work: bring sustainable and personalized experiences to millions of lives and support local businesses and communities.
• Great culture: multicultural team, fast‑paced, innovative environment with authentic care for wellbeing and work‑life balance.
• Empowering environment: inclusive workplace that celebrates diversity and offers equal learning and growth opportunities.

Reporting to: CIO.

Location: Issy‑les‑Moulineaux (France). Requires attendance in the office three times a week.