Data Product Owner

il y a 4 semaines

Clichy, Île-de-France L'Oréal Groupe Temps plein
Unlock Your Potential at L'Oréal's Beauty Tech

For over a century, L'Oréal has been dedicated to one mission: Beauty. Present in 150 countries across five continents and with €42 billion in consolidated sales, L'Oréal is the global industry leader. Today, L'Oréal includes more than 2,000 tech positions and is constantly growing. We champion Beauty Tech, inventing the beauty of the future while becoming the company of the future. Beauty Tech enables us to 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 a day in the life of the HR Data Product Owner looks like:

  • Build the HR Data Domain Layer to ensure the availability/quality of data needed for analytics use cases.
  • Work closely with the HR Data Domain Owner, the HR Data Program Manager, the HR Data Privacy Officer, Analytics Product Owner, HR Data Stewards, IT Data Engineers, IT Custodians, and analytics use case owners.
  • Prioritize the backlog in Agile delivery mode.

Key Activities:

  • Demand management: when a new analytics demand is submitted, work with the analytics use case owner on the HR pre-project validation processes to validate the data readiness from Snowflake point of view.
  • Define with Business and IT the data modeling roadmap.
  • Design the data model in Snowflake.
  • Responsible with the data stewards for the functional documentation of business data assets (including functional business rules for data quality purposes), and coordinates documentation of technical data assets.
  • Create test scenarios and supervise data validation for data assets in Snowflake.
  • Support data quality remediation initiatives.

What You Need to Succeed:

  • Curiosity, collaboration, eagerness to have an impact, proactivity, and a value for innovation, autonomy, and team spirit.
  • Self-driven and comfortable to make appropriate decisions supporting the data needs of multiple teams, systems, and products across different use cases.
  • Data-related technical skills.
  • Strong analytical skills.
  • A combination of data management and business knowledge to be able to translate the use case needs into data-driven solutions.
  • Ability to build processes supporting data transformation, data structures, metadata, and dependency.

Project Management:

  • Strong Agile project management (Scrum methodology) and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Technical Skills:

  • SQL (mandatory).
  • BI data modeling (mandatory).
  • Snowflake (optional).
  • Collibra (optional).
  • Scrum in ServiceNow (optional).

Languages:

  • French: fluent.
  • English: fluent.

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