With the ever-changing market dynamics, ease of accessibility to trusted, governed, and quality data is paramount for our analytical and business partners. Data domains are partners in our organization to bring efficiency and transparency in our data management, in collaboration and compliance with our Data Governance Office and guidelines, to provide secured access to our data assets within L’Oreal’s Beauty Tech Data Platform.

Sell Out Data Domain is looking for a Global Data Quality Lead who is responsible for 1) Data Quality measures and KPIs, 2) Leading the adoption of Data Quality monitoring and remediation process and tools with our data and analytics community, and 3) Fostering a data quality for all mindset.

YOUR KEY RESPONSIBILITIES

1) Data management Industrialization with Regional Counterparts

• Continuous development of Sell Out Data Quality Guidelines, process & playbooks with an understand & qualification of the business requirement: scope, issues, objectives
• Define critical objects & attributes for the Sell Out Data Domain with our global & regional Data Quality Leads and Data Product owners
• Responsible and support the implementation within the Sell Out Data Domain ecosystem
• Animate, data custodian and consult data architect on quality matters
• Data-related policies
  • Ensure the respect of the product data group standards/policies
  • Document & communicate the new best practices/standards
  • Write new, policy-compliant processes where required

• Lead Masterclasses and workshops to onboard our key data management partners on Data Quality monitoring tools
• Drive adoption of Data Quality tools and upskill on Data Quality KPI understanding to support efficient data issue understanding and remediation
• Implementation of Incident Management process to streamline and simplify data quality issues remediation with consideration of dependencies with other data domains

• Global monitoring of our domain’s KPIs to measure data quality and monitor deviation from acceptable quality levels

• Communication of insights gained or analyzed from data quality monitoring to support in topics such as data acquisition, process gaps …
• Bring to forefront of dependencies with other data domains and support in alignment of actions to facilitate cross domain interactions and usage

• Has experience in retailer data management or external data sources
• Has experience in analytics and/or analytic product development
• Has previous experience with Data Management-related tools

• Teamwork/Adaptability
• Leadership and comfort in business exposure
• Analytical skills (root cause analysis)
• Able to identify & propose new solutions (Problem solving oriented)
• Training kits creation & deployment for Business teams

• Is skilled in Agile project management
• Navigation in complex environment/organizations

• Has deep understanding of:
  • L’Oréal Organization & Data Organizations & analytic organizations
  • L’Oréal System functional architecture
• Is capable of mobilizing teams, partners such as metier leads, data Stewards (of the domain & operational), Data Custodians on quality improvement actions within perimeter

1. Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy.
2. Allows its employees to have a real impact, to test their ideas, to innovate and to build our future.
3. Offers a Hybrid Work Policy: 3 Days in Office, 2 Days Work from Home
4. Gives you access to a VIP staff shop offering our products at a preferential rate, a company restaurant & gym, 60% reimbursement of transportation subscription, a work council that provides many employee discounts (social & cultural activities, holiday vouchers etc.) and much more!
5. Provides a powerful and innovative HR policy : 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.
6. Delivers a n Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and we do not discriminate in recruitment, hiring, training, promotion, or other employment practices. The beauty we find in our differences gives us the freedom to go beyond. That’s the beauty of L’Oréal.

1. Interview with HR
2. Interview with the hiring manager
3. Interview with the business leader