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 will you do? 

• Define and own the product vision and roadmap for data and analytics platforms within LATAM.
• Translate business and user needs into clear, prioritized technical requirements.
• Manage and refine the product backlog to align with business value and technical feasibility.
• Collaborate closely with business stakeholders, data leads, engineers, and architects to ensure alignment on product priorities.
• Facilitate grooming sessions and break down epics into detailed user stories with acceptance criteria.
• Balance short-term delivery needs with long-term scalability and architectural integrity.
• Evaluate trade-offs between features, timelines, and technical complexity.
• Coordinate across squads to manage dependencies and ensure synchronized delivery.
• Ensure that sprint goals reflect true business impact and that the delivered features meet quality and usability expectations.
• Communicate product evolution and delivery outcomes to regional leadership and global stakeholders.

What we are looking for: 

• Proven experience as a Product Owner or Technical Product Manager in data, tech, or platform environments.

• Strong understanding of enterprise data systems, pipelines, and analytics platforms (preferably GCP).
• Ability to write clear, structured user stories, epics, and acceptance criteria.
• Experience working in agile environments and facilitating backlog refinement and sprint planning.
• Excellent communication and stakeholder management skills — from technical teams to business leaders.
• Strategic mindset: able to link technical execution to business value.
• Analytical thinking, prioritization skills, and comfort with ambiguity.
• Team leadership and influence without formal authority.

Years of experience required: 

+9 years of total experience, with at least 4 years in product or project ownership roles within data, tech, or platform areas. 

Tools & Technologies: 

• Jira, Confluence (for backlog, stories, documentation)
• Google Workspace (Docs, Sheets, Slides for alignment and communication)
• Data stack familiarity (e.g., BigQuery, dbt, Power BI, APIs, Airflow)
• Diagramming tools (Lucidchart, draw.io for process/data flows)
• Product roadmapping tools (optional: Aha!, Productboard)

Technical knowledge / certifications: 

• Agile Product Owner certification (CSPO, SAFe POPM, or equivalent – preferred)

• Familiarity with cloud-native data platforms (GCP, Azure, AWS – preferably GCP)
• Understanding of data modeling, pipelines, and platform scalability concepts
• Experience managing technical debt, data product lifecycle, and release planning

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles! 

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.