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About the Role

Drives the design, delivery, and business impact of data and AI products across the global value chain, including demand and supply planning, manufacturing, procurement, logistics, quality, and operational sustainability. Accountable for scaling advanced analytics, forecasting, and ML-driven decision intelligence to improve resilience, service levels, efficiency, and cost performance.

Responsibilities

• Define and own the multi-year Value Chain Data & AI product vision and roadmap.
• 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 end-to-end value chain operations.
• Maintain fluency in the value chain technology landscape and partner with system/platform owners.
• Represent Value Chain Data & AI priorities in enterprise forums, governance bodies, and investment reviews.
• 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.
• Lead the end-to-end delivery of the Value Chain Data & AI product portfolio.
• 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.
• 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.
• 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.
• Foster cross-functional collaboration with Finance, Technology, Operations, and Sustainability partners.
• Champion education, enablement, and operating model change to increase data-driven decision-making.
• Advocate for responsible, ethical, and transparent AI usage.
• Ensure adherence to enterprise data governance, privacy, and security standards.
• Manage domain budgets, resource allocation, and OKRs.
• 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.

Requirements

• 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.

Skills

• Data
• Analytics
• Product Management
• Technology Leadership
• Supply Chain
• Operations
• Manufacturing
• Demand and Supply Planning
• Procurement
• Logistics
• Quality
• Operational Sustainability
• Advanced Analytics
• Machine Learning (ML)
• Forecasting
• Scenario Modeling
• Optimization
• Inventory Planning
• Operational Performance Analytics
• Data Platforms
• Integration Frameworks
• Cloud-based Architectures (Azure, Databricks)
• Agile Methodologies
• Product-Centric Delivery Methodologies

Location

• Global

Work Type

• Full-time

Experience Level

• Vice President
• 12-15+ years

Salary/Compensations

• $211,600.00 - $377,200.00

Benefits

• Highly competitive bonus program with the possibility for overachievement
• Share incentive plan
• 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

About the Company

• 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.
• It 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.

Equal Opportunity

• 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.
• 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.