EYEY - GDS Consulting - AI And DATA - Supply Chain Operations Analytics - Senior Manager
About this role
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.
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.
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