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Data Quality Lead - Professional Product Division



Product, Data Science, Quality Assurance
Levallois-Perret, France
Posted on Saturday, April 13, 2024

Unleash Your Potential at L'Oréal's Beauty Tech!

For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L'Oréal is the global industry leader. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.

Today, L’Oréal includes more than 2,000 tech positions and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.

Beauty Tech is how we 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.


The Data, CRM and Analytics team is dedicated to support business transformation and growth for the Professional Product Division (PPD).

PPD has become a true digital division keeping our mission to bring professional beauty for each, with hairstylist at heart and data as our accelerator.

Through our digital transformation journey, we are building a powerful B2B and B2B2C eco-system leveraging e-commerce, Online Education, CRM, Business Reps, Customer Care apps to serve customer and consumer needs.

These data acquisition touchpoints allowed us to create a unique O+O stylists knowledge (data asset) to boost business growth through segmentation, marketing activation, personalization and call to action.

As we look to leverage these opportunities and AI in our go-to-market, it's important that we continue to build upon our Data initiatives and strengthen our data quality.

What a day in the life of PPD Data Team looks like:

We have started our global PPD data journey, yet we need to continue make data ready for our business. To make it happen, we need a strong focus on data quality.

In this perspective, the candidate will need to:

  • Create awareness with pedagogy and proximity with all stakeholders on data quality.
  • Assess our current situation and provide clear guidelines and policies.
  • Monitor and lead remediation actions plan

Details of the mission:

Data management

  • Create proximity with stakeholders to understand, translate & qualify the data business requirement: scope, issues, objectives
  • Define critical objects & attributes
  • Audit the current situation and root cause main gaps
  • Define strategy to remediate existing issues and anticipate data quality standards for new sources
  • Lead, animate and orchestrate the implementation of remediation actions with support from the source app and data teams on the main gaps, from Division, Zones or Country entities
  • Animate PPD data teams and consult CDAO on quality best practices

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

Quality monitoring and improvement

  • Implement KPIs to measure data quality and monitor deviation from acceptable quality levels
  • Define, communicate and follow-up remediation plans to increase data quality


First and foremost, we love people that are curious, collaborative, eager to have an impact, proactive and who value innovation, autonomy, and team spirit.

Secondly, in this specific position, it will be important for you to have:

  • Between 3 and 5 years of professional experience
  • At least 3 years in data field
  • Data management, modeling, quality
  • Project management
  • Business oriented
  • Problem solving
  • Communication (oral and written)
  • Leadership


Joining L'Oréal means joining a company that:

  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. Provides many benefits: VIP staff shop offering our products at a preferential rate, a company restaurant & gym, 60% reimbursement of transportation subscription, a work council offering lots of 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 an 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

We will be delighted to exchange with you!

Want to learn more about L’Oréal Beauty Tech? Click here.