Tech Lead Data (Revenue) F/M/X

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 biggest challenge awaits you:

Within the Data team, you will join the Distribution & Hotel Services (DHS) tribe, which is responsible for providing data products (exports, dashboards, datasets/tables, etc.) that enable performance management and improve operations for numerous teams in these three main areas of activity:

• Distribution: multi-channel distribution of our services and offers, followed by management of the booking process through to payment; 
• Hotel Services: management tools dedicated to hotels;
• Revenue Management: revenue optimization via Yield Management. 

Your mission:

Reporting to the Tribe's Data Engineering Director, your missions will include: 

• Co-lead the “Revenue” Feature Team (facilitation, prioritization, planning, etc.)
• Build a strong partnership with your Product Owner counterpart
• Supervising Data Engineers: 4 external + 1 internal (individual monitoring, particularly with digital services companies, etc.)
• Ensuring the implementation of best development practices (DevOps, Quality, FinOps, etc.)
• Contributing to the scoping, breakdown, and macro-estimation of new topics 
• Guide technical and modeling choices in accordance with Accor standards (Snowflake urbanization, Archi patterns, etc.)
• Deliver Data Products (Analytics & AI) in accordance with quality and deadline commitments
• Manage communication and resolution in the event of incidents
• Contribute to events organized at the Data team or Engineering vertical level.