For more than a century, L'Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty.
Our goal is to offer every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.
At L'Oréal, our IT teams design and build solutions to ensure high performance for all our business sectors by imagining new ways of doing things, from designing websites to building algorithms and predicting new trends.
They can be found leading teams towards a more connected and digitalized future in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud and E-Marketing.
You never stop learning at L'Oréal IT because things change at the speed of light!
Come join our dynamic team!
**What you will do**:
- Define and lead the regional tech vision for data platforms and products.
- Lead the design of scalable, sustainable, and integrated tech solutions.
- Oversee teams across data engineering, platform, visualization, and product.
- Ensure alignment between data strategy, technical delivery, and business impact.
- Ensure architectural alignment with general and zone frameworks.
- Champion architectural standards, reusability, and interoperability.
- Identify structural bottlenecks and lead their resolution.
- Foster a high-performance tech culture focused on innovation and impact.
- Develop strategic roadmaps for platform evolution and scalability.




- Mentor senior engineers and promote a high-performance tech team.
**What we are looking for**:
- Strong experience in cloud-native architecture (preferably GCP).
- Deep understanding of data platforms, APIs, and product scaling.
- Track record leading large tech teams across regions and functions.
- Expertise leading Large-scale product management and delivery.
- Business-oriented thinker with a hands-on technical background.
- Excellent communication, influence, and people development capabilities.
- Long-term strategic vision with ability to lead through complexity.
- Organizational influence and negotiation.
- Business-centric thinking with technical depth
**Years of experience required**:
9+ years in technology leadership, with at least 5 years leading data or platform product teams.
**Tools & Technologies**:
- GCP: broad knowledge across BigQuery, Cloud Functions, Cloud Run, Pub/Sub
- Architecture tools: (1) draw.io, Lucidchart, ArchiMate
- DevOps and CI/CD tools (Git, Terraform, Cloud Build)
- Data platform components (data lakehouse, streaming, APIs)
**Technical knowledge / certifications**:
- GCP Architect or equivalent technical certification (strongly preferred)
- Deep architectural understanding of cloud platforms and microservices
- Experience with platform lifecycle management, versioning, and scale
- Strategic roadmap planning, vendor integration, and team scaling
References
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📌 Senior Tech Lead (México)
🏢 L'Oréal
📍 México