Job Title Senior Manager, Data Audience & Strategy

Division: CDMO

Location: New York, NY

Reports To: AVP, Audience Strategy – Data Driven Experience

Who We Are:  

For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.  

CDMO: The Corporate Digital and Marketing Office mission is to put the consumer at the heart of L’Oreal’s business and drive digital innovation. As a force for L’Oreal’s innovation, CDMO delivers the best consumer experiences, drives new marketing models, and spearhead new digital capabilities to futureproof the group’s business.

Data Driven Experience Team (DDX): The DDX teams mission is to build the largest beauty database in the world, in order to provide consumers with a best in class digital experience.  Our focus is on the data strategies and technologies that are required to build a best in class asset and supporting programs for our brands. 

What You Will Do: ‘

L’Oreal USA is looking for an Audience Strategy Senior Manager reporting into the AVP, Data Strategy. This strategic role in the group is responsible for helping build programs, technology solutions and operational best practices necessary to carry out the overall data strategy vision. They are critical to enabling L’Oreal USA to deploy precision marketing strategies with high return on investment.

The Audience Strategy Senior Manager will be a key partner across the organization, regularly interacting with cross functional teams in IT, Media and our brand teams. The role will work within a team that is focused on building our 1P data asset through data acquisition tactics and strategies and using the 1P data asset to build actionable consumer insights.   Channels and systems in scope include paid and social media and CRM, audience segmentation and management, 1^st party customer and visitor data management, CDP/Identity Resolution, Clean Rooms & Partnership ecosystem 

Key Functions of this Job: 

Data Partnerships: 

• Own the LUSA strategy for 1P and 2P data partnerships, identifying partners, their priorities and building roadmap for how we want to work with each across key retailers, publishers and enterprise tech partners (Amazon, Google, Meta, etc) 
• Own strategy framework and value case for Clean Rooms and 1P/2P program.  How does unlocking unique 2P data partnerships grow LUSA brands and make them future proof 
• Oversee team of data scientists (at agency) that are HOK within clean room and data partnership environments.  Prioritize work across all brands, and ensure delivery of larger insights
• Work cross functionally with division analytics and data science teams to enable them to self-serve retailer/publisher insights & audiences (via clean rooms/analytics tools). 
• Own overall governance of 1P/2P clean rooms across agencies & cross-functional internal teams
• Own partner relationships, working closely with product teams to drive partner roadmaps 
• Work closely with Global Counterparts to showcase local work and enable other markets via share/scale 

Consumer Audience Strategy & Activation:

• Utilize a variety of tools and technologies to analyze and visualize data and translate into actionable consumer insights 
• Translate business objectives into practical audiences, using 1st, 2nd, and 3rd party data to drive personalization and segmentation that goes deeper than standard demographics
• Support systems and tools used to manage, store and syndicate audiences to paid/owned channels 

Data Operations:

What We Are Looking For: 

Required Qualifications: 

• Bachelor’s degree
• 7+ years of experience
• Primary experience in audience development, data driven marketing, digital marketing, data operations
• Expert knowledge and skill with data, data management, data activation and consumer insights
• A thorough understanding of 1P, 2P, 3P data landscape and how it can drive marketing strategy 
• Knowledge of identity resolution, clean-room and mar-tech industry (ie. Liveramp, Neustar, Epsilon, GMP, AMC, CDPs, DMPs, DSPs, Data Onboarding, etc.)
• Works well with agencies and IT teams to design and implement our data ecosystem
• Ability to lead presentations and effectively analyze and translate data into actionable business plans
• Highly collaborative across different stakeholders in a matrixed environment
• Organized, structured, analytical and logical; strong problem-solving skill

Preferred Qualifications: 

• Experience working in a large, highly matrixed, enterprise with competing priorities across reams
• Experience in consumer goods or beauty  
• Product Management experience (Agile, DevOps, etc) 

What’s In It For You: 

• Salary Range [New York]: $117,400-$167,300 base salary (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)  
• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan) 
• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
• Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!) 
• Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance) 
• Learning & Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!) 
• Employee Resource Groups (Think Tanks and Innovation Squads) 
• Access to Mental Health & Wellness Programs  

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles! 

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status. 

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