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Company Description
Join Accor – a professional journey at the heart of a committed, international and transforming group
Accor, a global leader in hospitality, present in more than 110 countries with 5,500 hotels, welcomes you to its offices located in Issy-les-Moulineaux.
This is where the Group’s global expertise comes together: strategy, finance, human resources, legal, technology, marketing, sustainability, communication, audit, procurement, etc.
Joining Accor means actively contributing to defining, structuring, and supporting the transformation of an international group, in direct connection with operational teams around the world.
Job Description
Accor Tech & Digital
is the innovation and technological transformation lab of the world leader in hospitality.
Our teams, known as Heartists®, bring together the best of hospitality with the best of tech and digital. Our ambition is to provide our customers with personalized, memorable, and sustainable experiences.
Here, we create new ways to travel within each of our 5,500 hotels, connecting closely with our 100 million clients in 110 countries.
Here, we are at the heart of an incredible playground for technological transition and the design of digital products and services for our customers and hotel teams.
Here, your scope will know no boundaries;
So join us and dare to make an impact on the world
This is where your greatest challenge awaits:
Reporting to the SVP of Data Science & AI, you will join a team at the heart of the Accor Group’s transformation through data and artificial intelligence.
Within the Data department, the Data Science & AI vertical aims to define and implement the Group’s AI vision, to scale up the use of ML, GenAI and Agentic AI, and to maximise the business impact of these technologies on the customer experience, hotel operations and internal teams.
You will act as the bridge between business sponsors and the AI / Data Engineering teams, ensuring the right product is built, shipped, adopted and continuously improved.
Your mission:
- Business Partnership: capture business needs, frame AI use cases, align on KPIs and expected value with stakeholders (Commercial, Marketing, Distribution, Operations, Brand).
Product Ownership:
- Own product vision, roadmap and backlog;
- Prioritise features balancing business value, technical feasibility and risk.
Delivery Leadership:
- Lead an internal/external squad composed of Data Scientists, AI / GenAI Engineers & ML Ops Engineers;
- Drive sprints, quality, time-to-market and production readiness.
Adoption & Value Tracking:
- Drive change management and end-user adoption;
- Measure usage, ROI and business impact;
- Report to sponsors and leadership.
- Vendor & Budget Management: steer external partners (OpenAI, Giskard, Converteo, Artefact, etc.), manage budget, contracts and SLAs
- Risk, Ethics & Compliance: ensure GDPR, Responsible AI and security guardrails are embedded by design, in close partnership with DPO, Legal and Compliance teams.
Qualifications
*And you*
- Master’s Degree in Engineering, Data Science, Computer Science or Business School with a strong Tech/Data grounding
- Strong experience (7+ years) in Product Management, Consulting or applied AI delivery, with at least one major AI / Data Product shipped end-to-end in production
- Experience in hospitality, travel or retail is a plus
Technical Skills
- Hands-on literacy in GenAI and ML Ops making you able to challenge technical choices with Data Scientists and AI Engineers
- Fluency with OpenAI, AWS AgentCore, Anthropic and Microsoft Foundry
Soft Skills & Mindset
- Strong business acumen and ability to translate priorities into AI products in a complex organisation
- Ability to manage senior stakeholders up to C-Level
- Yo