VP, Data & AI, Value Chain

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.

Description

Position Summary

The Vice President, Value Chain Data & AI Product, drives the design, delivery, and measurable business impact of data and AI products across the global value chain, including demand and supply planning, manufacturing, procurement, logistics, quality, and operational sustainability. This executive is accountable for scaling advanced analytics, forecasting, and ML-driven decision intelligence to improve resilience, service levels, efficiency, and cost performance across end-to-end operations.

The VP leads a global product organization responsible for delivering scalable, reusable data and AI capabilities that enable supply chain execution, optimization, and scenario-based decision-making. All initiatives are tied to operational KPIs, cost and service outcomes, and enterprise value creation.

This role serves as the primary Data & AI partner to the Chief Value Chain Officer (CVCO) and value chain leadership, translating complex operational challenges into enterprise-grade data and AI products that drive measurable performance improvement.

Description (continued)

Strategic Leadership & Partnership:

• Define and own the multi-year Value Chain Data & AI product vision and roadmap, aligned to global supply chain, operations, and sustainability priorities.
• Serve as the primary Data & AI partner to the Chief Value Chain Officer (CVCO) and value chain global leadership teams.
• Act as the data and AI owner for the end-to-end value chain operations, including:
  • Demand and supply forecasting, scenario planning, and deployment analytics
  • Manufacturing performance, capacity, yield, and quality intelligence
  • Procurement, vendor performance, and cost optimization analytics
  • Inventory, logistics, fulfillment, and service-level decision intelligence
  • Operational sustainability and EHS analytics
• Maintain fluency in the value chain technology landscape (e.g., SAP S/4HANA, Kinaxis, Anaplan, MES), while partnering with system/platform owners to ensure data readiness and integration.
• Represent Value Chain Data & AI priorities in enterprise forums, governance bodies, and investment reviews to align business and data strategies globally.
• Translate value chain data and AI strategies into defined OKRs, operational KPIs, financial impacts, and P&L outcomes.
• Collaborate with emerging technologies teams to assess and introduce new ML, optimization, and decision-intelligence capabilities into the value chain roadmap.

Product Portfolio & Delivery Oversight:

• Lead the end-to-end delivery of the Value Chain Data & AI product portfolio, ensuring solutions are designed for scalability, reuse, and cross-functional integration across global operations.
• The product portfolio spans:
  • Planning & Forecasting Intelligence - demand and supply modeling, scenario planning, deployment analytics, and operational visibility.
  • Manufacturing & Quality Intelligence - production performance, capacity and yield analytics, quality and safety insights, and plant-level optimization.
  • Procurement & Vendor Intelligence - supplier performance, cost optimization, and sourcing analytics.
  • Logistics & Fulfillment Intelligence - inventory optimization, distribution, service-level performance, and network visibility.
  • Operational Sustainability & EHS Intelligence - sustainability metrics and EHS analytics.
• Oversee prioritization, funding, and execution and measure impact across global and regional value chain roadmaps
• Own the end-to-end data architecture and data quality strategy for value chain datasets, ensuring availability, trust, and readiness.
• Oversee the development, deployment, and lifecycle management of forecasting engines, optimization tools, agent-based automation, dashboards, and other data products
• Partner with the Build Organization (Engineering, AI/ML, Platforms) to align technical architecture, secure resourcing, ensure delivery excellence, and drive speed-to-value.

Stakeholder Engagement & Change Leadership

• Serve as the Data & AI representative within Value Chain leadership forums, guiding priorities and investments.
• Drive measurable adoption across regional supply chain, manufacturing, procurement, and logistics teams, ensuring data and AI solutions are embedded into daily planning, execution, and decision workflows.
• Foster cross-functional collaboration with Finance, Technology, Operations, and sustainability partners to align analytics and AI initiatives to enterprise priorities.
• Champion education, enablement, and operating model change to increase data-driven decision-making across value chain functions.
• Advocate for responsible, ethical, and transparent AI usage in operational, forecasting, and optimization use cases.

Governance, Operations & Performance

• Ensure adherence to enterprise data governance, privacy, and security standards.
• Manage domain budgets, resource allocation, and OKRs in coordination with enterprise strategy and finance teams.
• Establish transparent reporting for leadership, including product performance dashboards, delivery milestones, and realized business impact.
• Partner with Governance, Architecture, and Strategy & Ops to continuously evolve operating models, tooling, and delivery maturity.

Qualifications

• 12–15+ years of progressive experience in data, analytics, product management, or technology leadership roles within supply chain, operations, or manufacturing environments.
• Deep understanding of end-to-end value chain ecosystems, including demand and supply planning, manufacturing operations, procurement, logistics, quality, and operational sustainability.
• Expertise in advanced analytics and ML use cases such as forecasting, scenario modeling, optimization, inventory planning, and operational performance analytics.
• Technical fluency in data platforms, integration frameworks, and modern cloud-based architectures (e.g., Azure, Databricks).
• Experience building and leading global teams and driving cross-functional digital, data, or AI transformation initiatives across operations and supply chain functions.
• Proficiency in Agile and product-centric delivery methodologies.
• Strong business acumen with experience delivering measurable improvements in service levels, cost performance, resilience, and operational KPIs through data and AI solutions.

Pay Range

The anticipated base salary range for this position is $211,600.00 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,

In addition to base salary, this position is eligible for participation in a highly competitive bonus program with the possibility for overachievement based on performance and company results. In addition, 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 View email address on click.appcast.io.

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.