Data Product Owner - All Domains

We are recruiting Data Product Owners for different domains in the L'Oréal group, organized across 18 domains that cover all business activities. Our mission is to create a data-driven competitive advantage by building a strong foundation of data that serves AI and analytics use cases.

Responsibilities

• Building the Data Domain Layer to ensure availability/quality of data needed for AI and analytics use cases (integration, acquisition, cleansing, harmonization, and structuring in layers of Data platform).
• Working closely with IT and Business Owners to align with enterprise data strategy and governance.
• Supporting the data needs of team systems and products across different use cases.
• Defining use-case data strategy and vision with functional Product Owner and IT group; resulting data model must be agnostic of use cases.
• Performing gap analysis: assess "as is" data assets versus use-case requirements, then defining and building data acquisition needs and quality expectations.
• Assembling large, complex data sets that meet functional business requirements.
• Identifying integration needs for further use-case data acquisition.
• Structuring datasets in various layers of data platform.
• Preparing data for use cases by creating governed Business Objects.
• Co-designing analytics tools with functional Product Owner and IT to leverage the structured data.
• Defining key success metrics.
• Creating test scenarios and supervising data validation with testing factory.

Qualifications

• Engineering or Business Education background with a Data orientation.
• More than 3 years of previous experience (more may be required depending on position).
• Strong analytical skills and Data-driven mindset.
• Great interest in functional business specificities.
• Strong understanding of Agile (Scrum certification is a plus).
• Some Cloud Platform knowledge.

We understand that you may not be an expert in all courses- such as SQL or GCP but you should show curiosity to learn new technologies.

Benefits

• Investment in tech: Tech teams are at the heart of digital transformation.
• Employees are empowered to have a real impact, test ideas, innovate, and build the future.
• Dynamic mobility policy, significant investment in training, regular remuneration re-evaluation, innovative HR measures.
• Commitment to strong values, advanced social and environmental position, strong diversity and inclusion, L'Oréal for the Future program, community initiatives.

Interview Process

• Response within two weeks of application.
• If CV selected, HR interview with recruiter.
• Technical interview with potential manager (sometimes with another team member).
• If application not successful, prompt answer within one week with constructive feedback.