vp, Data & AI, Value Chain
$211.6k - $377.2kFull-time
Estée Lauder Companies
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 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.
- 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 - i nventory 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.
- 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.
- 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.
- 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.
Vacancy posted 24 days ago
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