Head of Engineering Omnisales

Unleash Your Potential at L'Oréal's Beauty Tech

For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with 42 billion consolidated sales, L'Oréal is the global industry leader. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.

Today, L’Oréal includes more than 2,300 tech positions and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.

Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L’Oréal continues to recruit diverse, innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.

What will be your day to day?

As the Global Head of Engineering OmniSales, you will lead the software execution layer of our Beauty Tech and OmniSales ambition on a global scale. Your role will be to transform application project visions into robust, secure, scalable, and globally deployable platforms for our brands, markets, and partners. You will contribute directly to the acceleration of our in-housing strategy, the reinforcement of our engineering excellence, and the construction of sustainable systems capable of supporting omnichannel, personalized, and high-business-impact experiences.

• Engineering Mission & Leadership: Define the OmniSales engineering vision in alignment with the Group's business and technology strategy, and lead its implementation across a distributed and multicultural organization.
• Platform & Product Scope: Supported by application platform teams, oversee a portfolio of platforms and digital services. This includes boutique customer journeys, beauty diagnostic services, sales force tools, and foundational platforms enabling global, simple, and reliable deployment.
• Architecture & Industrialization: Define architectural choices and engineering standards to ensure performance, resilience, security, scalability, and maintainability across modern, distributed cloud environments.
• End-to-End Delivery: Oversee the complete software development lifecycle, from design to production deployment, by accelerating the transformation of ideas, AI use cases, and product innovations into scalable, deployed solutions.
• Transformation through GenAI: Make Generative AI a tangible driver of productivity and quality for engineering. This involves generalizing the use of development co-pilots, test automation, documentation assistance, assisted refactoring, and continuous improvement of delivery practices.
• Operational Excellence: Strengthen DevSecOps, SRE, CI/CD, observability, and infrastructure-as-code practices to ensure fast, safe, and frequent deployments, as well as high availability for critical services.
• Culture & Talents: Build a demanding engineering culture based on clarity, ownership, simplicity, and impact. Attract, develop, and retain technical talent within an in-housing and team-empowerment strategy.
• Cross-functional Partnership: Act as a strategic partner to the Product, Architecture, Data, Design, and Application Domain teams to translate business needs into clear, structured, and value-creating technical decisions for brands and markets.

Key Skills We Value for This Role:

• Global Engineering Leadership: Proven experience leading distributed engineering teams with an ability to recruit and develop talent in an international, matrix organization.
• Platform Architecture: Ability to design and evolve secure, resilient, and scalable cloud-native architectures, with mastery of trade-offs inherent in distributed systems.
• Cloud Expertise & Industrialization: Deep mastery of GCP and Azure environments, infrastructure-as-code, CI/CD pipelines, observability, and industrialization practices that enable rapid, safe, and frequent deployments.
• Modern Engineering: Understanding of microservices, event-driven, and API-first architectures, with focus on performance, reliability, security, idempotency, load management, and business continuity.
• AI, Data & Production Deployment: Collaborate with Data and AI teams to transform prototypes,