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

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

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

About the Role

At EY GDS, you will lead and grow the Supply Chain Operations Analytics practice — shaping strategy, building competencies, and delivering large-scale AI and analytics transformation programs for global clients. As a Senior Manager, you are a business operator first: you own delivery outcomes, manage and develop high-performing teams, engage senior client and EY leadership, and convert opportunities into sales — while bringing strong supply chain functional depth and hands-on technical credibility.

Key Responsibilities

Business & Practice Leadership

• Manage and grow the supply chain analytics practice/competency — define capability roadmaps, build assets and accelerators, and expand service offerings across supply chain planning and operations.
• Operate as a business owner: drive utilization, revenue contribution, delivery margins, and practice health metrics.
• Partner with senior EY leadership (Partners/Directors) and client executives (VP/CXO level) to shape analytics transformation agendas.
• Lead pursuits end-to-end — identify opportunities, shape proposals and solutions, present to client leadership, and convert sales; support account growth and pipeline development.
• Drive innovation and thought leadership — POVs, industry solutions, and next-generation offerings in generative and agentic AI for supply chain.

Delivery Ownership

• Own end-to-end delivery of multiple concurrent engagements — solution architecture, quality, timelines, commercials, risk, and client satisfaction.
• Oversee the design, build, deployment, and monitoring of advanced analytics and AI solutions across demand, supply, inventory, procurement, manufacturing, logistics, warehousing, aftermarket, and spares planning.
• Establish delivery governance, review mechanisms, and best practices across engagements.

People Leadership

• Build, lead, and mentor teams of managers, data scientists, and supply chain consultants (typically 15–30+ professionals).
• Own talent development — hiring, capability building, performance management, career coaching, and succession planning within the competency.
• Foster a culture of innovation, quality, and client-centricity.

Supply Chain Functional Expertise (SME depth 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), quality analytics, production planning & scheduling, manufacturing operations/OEE analytics
• 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, 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
• Ability to guide solution architecture decisions and review technical designs with credibility, even where delivery is executed by teams.

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, code reviews, design, dashboarding, content generation, etc.

Experience & Education

• 10–12+ years of experience in industry/consulting, with at least 6–8 years in supply chain advanced analytics solution design and delivery, and a proven track record of leading teams and managing client relationships at senior levels.
• Demonstrated experience in practice/competency management, sales conversion, and delivery ownership; global client experience strongly 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; MBA/PhD is an advantage.
• Certifications in Python, AI/ML, optimization, simulation, or cloud platforms (Azure/GCP/AWS) are an added advantage.

What We Look For

• A business operator who blends commercial acumen, delivery rigor, and people leadership with genuine supply chain and analytics depth.
• Executive presence — credible with CXO stakeholders and skilled at translating business strategy into analytics roadmaps.
• Industry exposure across CPG, Life Sciences/Pharma, Industrial, or Resources sectors.
• Exceptional communication, negotiation, and stakeholder management skills.

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