The Challenge
L'Oréal's Consumer Products Division owns the world's #1 beauty brands (L'Oréal Paris, Maybelline, Garnier, NYX). You'll architect promotional strategy and ROI optimization across their entire portfolio, partnering with brands and sales to drive sustainable value growth.
Your Mission
Audit current promotional spend across all CPD brands and channels; identify top 5 optimization opportunities with projected ROI impact
Establish baseline dashboards and reporting infrastructure connecting Nielsen/IRI syndicated data to promotional performance
Build alignment with key stakeholders (Brand, Sales, Finance leadership) on 2026 promotional strategy priorities and governance
Develop financial models for 2-3 high-impact promotional initiatives to present to division executives
Execute and measure ROI on redesigned promotional calendar across 2+ major accounts, targeting 15%+ lift vs. prior year
Launch cross-brand promotional strategy framework incorporating shopper insights via Choice-Based Conjoint research
Lead team through Q2-Q3 peak promotional season; demonstrate measurable profit growth from optimized spend allocation
Build repeatable consumer research and analytics process to inform promotion strategy quarterly
KPIs You'll Own
Promotional ROI by brand/account
Track return on promotional spend vs. baseline; target 20%+ incremental margin contribution.
Revenue lift from RGM initiatives
Measure total incremental revenue from optimized promotional strategy vs. prior year comparable.
Team execution velocity
Number of strategic recommendations implemented quarterly; speed to insights from data analysis.
Stakeholder alignment score
Cross-functional adoption of promotional strategy and dashboards; adoption rate among sales/brand teams.
Tools & Stack
Your Team
Your Manager
VP – Revenue Growth Management
Current Team
Diverse RGM experts in market research, analytics, finance, and marketing; team size not specified
Backfill or new expansion role not specified; will manage internal and/or contract team
The Package
Salary
$180K-$220K base
Variable
Likely 20-30% annual bonus tied to RGM objectives
Remote
On-site, Hudson Yards, New York, NY. Full-time.
Benefits & Perks
Company Intelligence
L'Oréal is the world's largest cosmetics company with 130+ years in beauty. Consumer Products Division democratizes premium beauty through iconic brands like L'Oréal Paris (top global beauty brand), Maybelline (top makeup), Garnier (top natural), and NYX Professional Makeup.
Founded
1909
Customers
Mass-market retail (Walmart, Target, Ulta, Sephora, drugstores); global DTC channels
Culture
Data-driven, innovation-focused, beauty-obsessed; strong cross-functional collaboration
Is This Role For You?
- You've spent 8+ years in revenue management, pricing strategy, or commercial analytics at CPG/beauty companies
- You're fluent in syndicated data (Nielsen, IRI) and can translate market insights into promotional strategy
- You thrive building influence across Sales, Marketing, and Finance—navigating matrix organizations and senior stakeholders
- You love financial modeling and ROI measurement; you speak both data and business impact
- You lack hands-on experience with Nielsen/IRI or similar syndicated databases—this role demands it
- You prefer individual contributor work; this is a leadership role requiring team management and cross-functional influence
- You work best remotely; this is on-site at Hudson Yards, NYC—non-negotiable
Interview Process
Initial screening
Recruiter call on background, CPG/beauty experience, syndicated data expertise
Case study/take-home
Analyze promotional spend scenario; present insights and ROI recommendations
Director-level interviews
Stakeholder interviews with VP Revenue Growth Management, peer directors, and cross-functional partners (Sales, Finance)
Executive round
Presentation to CPD leadership on a proposed strategic initiative; Q&A on vision and approach
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.