EY - GDS Consulting - AI And DATA - Supply Chain Operations Analytics - Manager

EY - GDS Consulting - AI And DATA - Supply Chain Operations Analytics - Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

EY GDS – AI & Data – Manager – Supply Chain Operations Analytics

Service Line: Consulting – AI & Data / Supply Chain Operations

 

About the Role

At EY GDS, you will lead the design and delivery of advanced analytics and AI solutions that transform supply chain operations for global clients. As a Manager, you will combine deep supply chain functional expertise with cutting-edge analytics — from descriptive dashboards to prescriptive optimization, generative AI, and agentic AI solutions — to deliver measurable operational impact.

 

Key Responsibilities

• Solution-architect, design, build, deploy, deliver, and monitor advanced analytics and AI models across supply chain planning and operations areas — demand, supply, inventory, procurement, manufacturing, logistics, warehousing, aftermarket, and spares planning.
• Interface with EY GDS Business Consulting partners and clients to understand business/engineering problems, translate them into analytics problem statements, and deliver insights that drive action and operational improvement.
• Lead and mentor teams of data scientists and supply chain analysts; own delivery quality, timelines, and client satisfaction.
• Collaborate with EY internal teams (consulting, technology, sector teams) to support pursuits, proposals, and sales enablement.
• Provide innovation and thought leadership — build tools, accelerators, reusable assets, and new solution offerings in supply chain analytics.

 

Supply Chain Functional Expertise (strong experience in two or more)

• Demand planning — statistical/ML forecasting, demand sensing, NPI forecasting
• Inventory & supply planning — multi-echelon inventory optimization, safety stock, S&OP/IBP
• Logistics & network planning — network design/optimization, transportation planning, route optimization
• Manufacturing analytics — asset maintenance (predictive/prescriptive maintenance), quality analytics, production planning & scheduling, manufacturing operations/OEE analytics, etc.
• Procurement planning — spend analytics, supplier risk and performance analytics, sourcing optimization
• Warehousing — capacity, labor, and slotting analytics
• Aftermarket & spares planning — service parts forecasting, spares inventory optimization

 

Analytics & AI Skills

• Descriptive & Diagnostic — KPI frameworks, root-cause analytics, control towers, visualization
• Predictive — machine learning and deep learning for forecasting, anomaly detection, risk prediction
• Prescriptive — optimization (LP/MIP/heuristics), simulation (discrete-event, Monte Carlo), scenario planning
• Generative AI — LLM-based solutions, RAG, conversational analytics/insight assistants for supply chain
• Agentic AI — multi-agent workflows for autonomous planning, exception management, and decision support

 

Tools & Technology

• Programming & data: Python, PySpark, SQL, big data tools
• Visualization: Power BI, Tableau
• Cloud platforms: Azure, AWS, or GCP (ML services, data pipelines, MLOps)
• Good to have: planning platforms (Blue Yonder, o9, Kinaxis, SAP IBP, Anaplan); live data streaming and ingestion tools.
• Use of AI tools for coding, design, dashboarding, presentations, etc.

 

Experience & Education

• 7–9+ years of experience in industry/consulting, with at least 5+ years designing and delivering supply chain advanced analytics solutions; global client experience preferred.
• Bachelor's degree (Industrial/Production Engineering, Statistics, Economics, or related) and a master's degree in Statistics, Economics, Operations Management, Supply Chain, or Data Science preferred.
• Certifications in one or two of: Python, AI/ML, optimization, simulation, or a cloud platform (Azure/GCP/AWS) are an advantage.

 

What We Look For

• Industry exposure across CPG, Life Sciences/Pharma, Industrial, or Resources sectors (Oil & Gas, Mining, Metals, Utilities, Chemical) with the ability to connect domain problems to analytics solutions.
• Strong written and oral communication; comfort presenting to senior client stakeholders.
• A collaborative, entrepreneurial mindset — someone who builds capability, not just delivers projects.

 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

Experience Level

Mid Level