Data Product Owner - All Domains

About the Role

We are recruiting Data Product Owners for different domains as we are organized in 18 domains that cover all the activities of the group.

Responsibilities

We can summarize your missions in 3 main objectives:

• Building the Data Domain Layer to ensure the availability/quality of data needed for AI and analytics use cases (integration, acquisition, cleansing, harmonization and structuring in layers of Data-platform)
• Work closely with the IT and Business Owners to align with the enterprise data strategy and governance
• Support the data needs of teams , systems and products across different use cases

IF YOU WANT TO GO FURTHER INTO DETAIL, THIS IS WHAT YOU COULD EXPECT TO DO

• Define use case data strategy and vision with the functional Product Owner and IT group. The resulting data model must be agnostic versus use cases.
• Gap analysis: assess “as is” data assets versus use cases requirements, then define and build data acquisition needs and quality expectations.
• Assemble large, complex data sets that meet functional business requirements.
• Identify integration needs for further use cases data acquisition.
• Structure datasets in various layers of data platform.
• Prepare data for use cases by creating governed Business Objects.
• Co‑design analytics tools with functional Product Owner and IT to leverage the structured data.
• Define key success metrics.
• Create test scenarios and supervise data validation with testing factory.

Qualifications

Benefits and Culture

• Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy.
• Allows its employees to have a real impact, to test their ideas, to innovate and to build our future.
• Has a powerful and innovative HR policy: a very dynamic mobility policy, significant investment in employee training, regular re‑evaluation of remuneration, numerous innovative HR measures: Time Savings Account, paternity leave, Citizen Day, etc.
• Has chosen to uphold strong values and to be particularly advanced from a social and environmental point of view (strong diversity and inclusion policy, L'Oréal for the Future program, commitment to numerous communities, etc.).