Lead Analytics Product

Lead Analytics Product & Services "Data Platform" F/M/X

• Full-time
• Job-Category: Digital Products, IT, Data & Analytics
• Job Type: Permanent

Accor Tech & Digital is thepower engine of Accor technology, digitalbusinessand transformation. Our5,000talents are committed todeliverthe best tech and digital experiences to our guests,hotelsand staff across 110 countries and to shape the future of hospitality.

Accor Tech & Digital, jobs in the tech field where intelligence is above allhuman

Accor Tech & Digitalis the innovation and technological transformation lab of the world leader in hospitality.

Our teams, known asHeartists®, 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;

Sojoin us anddare to make an impact on the world

Here is where your greatest challenge awaits you:

You will join the Data Platform Tribe , which is responsible for the Group's foundational Data technology stack, ensuring reliable, secure, and scalable access to data and analytical services on a global scale.

Within the OPEN Feature Team, you will contribute to the transformation of Accor's analytics ecosystem, as well as the structuring and evolution of its self-service analytics offering. The team's mission is to provide and evolve data access tools (such as new conversational interfaces), enhance user experience, and support Business Analysts in mastering their solutions.

In short, this team is responsible for empowering data users and builders to accomplish their own missions autonomously, while maximizing value and minimizing costs.

This position holds a key leadership role, combining the definition of the product strategy for the OPEN scope, management of the feature team's Product Owners, and a strong contribution to aligning product vision, business needs, and technological capabilities.

Your mission:

Your responsibilities will be structured around five key areas:

• Champion the vision, roadmap, and priorities for self-service analytics, data access, and data democratization solutions.
• Identify user needs, drive product discovery activities, and ensure initiatives are aligned with business challenges and the overall Data strategy.
• Mentor and support the team’s Product Owners in their professional growth and skill development, ensuring clear product ownership of high-priority initiatives.
• Map, align, and engage a complex ecosystem of international stakeholders; act as a key facilitator to arbitrate priorities, communicate roadmap progress, and maximize the adoption of self-service solutions.
• Manage and foster relationships with technical counterparts from third-party solution vendors.

3. Product Delivery

• Lead the design, delivery, and continuous improvement of Analytics products and services, including:
  • The new democratization solution designed for all data personas, replacing the current portal;
  • Data products enabling the measurement of Data ROI.
• Ensure functional and technical consistency across the ecosystem, in close collaboration with the Product, Data, and Engineering teams.
• Monitor service quality, solution adoption, and user value creation.

4. AI & Automation

• Define the product strategy, use cases, and roadmap for AI and automation solutions dedicated to data users and builders (Augmented Data Platform, support agents, onboarding/offboarding workflows, self-service request orchestrators, etc.).
• Measure their impact and contribute to the evolution of the platform's practices and services.

5. Data Adoption

• Develop onboarding, training, and support programs for users both within and outside the Data team.
• Advise business departments on expressing their requirements, promote Data best practices, and contribute to strengthening the data culture across the Group.

And you?

• Proven experience in Product Management or Product Leadership within a Data & Analytics environment, with the ability to define a product vision, lead user discovery, and prioritize a backlog based on business value.
• Strong product and technical leadership experience, including the operational management of consultants or project teams, leadership of Pr