VP, Data & AI, Value Chain

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., * 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.

• 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.