VP, Data & AI, Commercial Analytics

The Estée Lauder Companies Inc.; New York (NY); On-site; USD 221,600 - 377,200; Full time

Benefits offered by this job

Health insurance

Wellness programs

Paid leave

Retirement savings plans

Education-related programs

Job summary

A global beauty company seeks a VP of Data & AI, Commercial Analytics in New York. This executive will drive the design and measurable business impact of data and AI products across global markets. Responsible for pricing excellence and promotional optimization, leading a team, and aligning strategies with commercial outcomes. The role requires deep expertise in pricing, promotions, and retail analytics, along with strong leadership and strategic partnership skills. Competitive salary range from $221,600 to $377,200.

Qualifications

• Deep domain expertise in pricing strategy and revenue growth.
• Experience with data ecosystems and analytical processes.
• Strong understanding of retail performance analytics.

Responsibilities

• Define product vision for pricing and retail intelligence.
• Lead and develop a high-performing Data & AI team.
• Drive cross-functional collaboration with stakeholders.

Skills

Pricing strategy

Promotions

Margin optimization

Revenue growth management

Analytical skills

Team leadership

Communication skills

Agile methodologies

Education

Bachelor's degree or equivalent

Tools

SAP

NielsenIQ

Circana

Job description

The Estée Lauder Companies Inc. is one of the world’s leading manufacturers, marketers, and sellers of quality skin care, makeup, fragrance, and hair care products, and is a steward of luxury and prestige brands globally. The company’s products are sold in approximately 150 countries and territories under brand names including: Estée Lauder, Aramis, Clinique, Lab Series, Origins, M·A·C, La Mer, Bobbi Brown Cosmetics, Aveda, Jo Malone London, Bumble and bumble, Darphin Paris, TOM FORD, Smashbox, AERIN Beauty, Le Labo, Editions de Parfums Frédéric Malle, GLAMGLOW, KILIAN PARIS, Too Faced, Dr.Jart+, the DECIEM family of brands, including The Ordinary and NIOD, and BALMAIN Beauty.

Position Summary

The VP, Data & AI, Commercial Analytics, drives the design, delivery, and measurable business impact of data and AI products that power pricing excellence, promotional optimization, and retail and commercial performance across global markets. This executive is accountable for converting strategy into execution—building, scaling, and optimizing data, analytics, and AI capabilities that improve price realization, enhance promotional efficiency, optimize trade and discount structures, and elevate retail execution and margin performance.

Leading a global team, the VP sets the vision, roadmap, and delivery model for pricing, promotion, and retail intelligence products, ensuring every initiative ties to commercial outcomes, customer value, and P&L performance.

In addition to execution leadership, this role serves as a strategic partner to Global Brand Presidents, Regional Commercial Leaders, Finance, and Revenue Growth Management teams—ensuring pricing, promotion, and retail strategies and investments are grounded in robust data, modeled for financial impact, and enabled through scalable digital products.

Description

Strategic Leadership & Partnership

• Define and own the multi-year pricing, promotion, and retail intelligence data and AI product vision and roadmap that unlocks enterprise-wide improvements in pricing architecture, promotional planning, trade effectiveness, and retail performance.
• Serve as the primary Data & AI strategic partner to Finance, Regions, Commercial, and Brand leaders, embedding pricing, promotion, and retail intelligence into annual plans, commercial negotiations, and performance management.
• Act as the domain’s technical and strategic owner, maintaining fluency across key systems, data assets, and analytical processes, including ERP (SAP), trade systems, POS, syndicated market data, retail performance data, and elasticity modeling.
• Represent the Revenue Pricing, Promotion, & Retail Intelligence function in enterprise governance, steering committees, and investment reviews to ensure alignment across business and data priorities.
• Translate strategic priorities into OKRs, value cases, and P&L impact models that quantify margin improvement, promotional efficiency, retail execution effectiveness, and revenue uplift.

Product Portfolio & Delivery Oversight

• Lead the end-to-end delivery of the pricing, promotion, and retail data and AI product portfolio, ensuring solutions are designed for scalability, reuse, and cross-functional integration.
• Act as the data and AI owner for pricing, promotion, and retail including:
• Price elasticity modeling and price corridor optimization.
• Promotion and event forecasting, effectiveness, and ROI measurement.
• Markdown, discount, and trade spend optimization.
• Competitor and market pricing intelligence.
• Retail sell-in / sell-out performance analytics.
• Store-level, channel-level, and marketplace performance.
• Oversee prioritization, funding, resourcing, and delivery across brands, channels, and regions.
• Lead and develop a high-performing team of Data & AI Product Managers and Data Analytics experts.
• Partner with the Build Organization (Engineering, AI/ML, Platforms) to align technical architecture, secure resourcing, ensure delivery excellence.
• Maintain deep fluency across systems and datasets including ERP (SAP), trade systems, POS, syndicated data (NielsenIQ, Circana), competitive intelligence tools, retail partner feeds, and global pricing and retail performance.
• Partner with Digital & Marketing Data & AI teams to integrate demand signals, audience insights, and marketing effectiveness into pricing, promotion, and retail optimization models.
• Establish processes to measure ROI, adoption, and value creation for all delivered products.

Stakeholder Engagement & Change Leadership

• Serve as the Data & AI representative across Finance, Commercial, Brand, and Retail leadership forums, guiding decisions related to pricing corridors, promotion calendars, retail investment allocation, and discount strategies.
• Drive cross-functional collaboration with Commercial, Finance, Supply Chain, Brands, Regions, Retail, and Technology partners.
• Enable enterprise adoption of data-driven pricing, promotion, and retail performance strategies through insights, tools, and training.
• Advocate for responsible, ethical, and compliant AI use, particularly in automated pricing, promotion, and retail decisioning.

Governance, Operations & Performance

• Ensure all pricing, promotion, and retail intelligence products adhere to enterprise data governance, privacy, and compliance standards.
• Manage budgets, teams, and OKRs in coordination with Finance and Strategy & Ops.
• Deliver transparent leadership reporting, including pricing, promotion, and retail product performance dashboards; forecasting accuracy and model performance; and realized financial impact such as margin improvement, promotional ROI, and retail execution uplift.
• Partner with Governance, Architecture, and Strategy & Ops to evolve operational maturity, capability models, and workflow automation frameworks.

Qualifications

• Deep domain expertise in pricing strategy, promotions, margin optimization, and revenue growth management across multi-channel global businesses.
• Experience owning pricing, promotion, and retail data ecosystems, including POS data, syndicated data (e.g., NielsenIQ, Circana), competitive pricing sources, retailer partner feeds, store-level performance data, and global price ladders.
• Strong analytical background with fluency in elasticity modeling, demand forecasting, scenario simulation, offer optimization, and predictive financial modeling.
• Strong understanding of retail and commercial performance analytics, including sell-in / sell-out performance, trade spend, assortment, and in-store activation insights.
• Technical fluency in cloud data platforms, AI/ML enablement tools, integration frameworks, and advanced analytics environments.
• Experience leading global teams and driving cross-functional digital, data, or AI transformation initiatives across Finance, Commercial, Brand, and Retail organizations.
• Experience defining data architecture, data quality frameworks, metadata, semantic layers, and governance models for pricing, promotion, and retail datasets.
• Proficiency in Agile and product-centric delivery methodologies.
• Strong executive communication skills with demonstrated ability to influence C-suite decisions on pricing strategy, promotional investments, retail performance, and revenue growth.

Pay Range

The anticipated base salary range for this position is $221,600.00 to $377,200.00. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program as well as participation in the share incentive plan.

In addition, this position is eligible for participation in a highly competitive bonus program with the possibility for overachievement based on performance and company results. The Estée Lauder Companies offers a variety of benefits to eligible employees, including health insurance coverage (medical, dental, and vision insurance), wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.

Equal Opportunity Employer

It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. The Company will endeavor to provide a reasonable accommodation consistent with the law to otherwise qualified employees and prospective employees with a disability and to employees and prospective employees with needs related to their religious observance or practices. Should you wish to apply for this position or any other position with the Company and you believe you require assistance to complete an application or participate in an interview, please contact [e-mail].

Michigan Applicants: Persons with disabilities needing accommodations for employment must notify the company in writing of the need for an accommodation within 182 days after the date the person with a disability knew or reasonably should have known that an accommodation was needed.

Philadelphia Applicants: Philadelphia's Fair Chance Hiring Law

Rhode Island Applicants: The company is subject to chapters 29-38 of title 28 of the general laws of Rhode Island and is therefore covered by the state's workers' compensation law.