IandP GN - SCandE Senior Manager - Enterprise AI Value Strategy-EVS

Accenture in India; Gurugram District; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Accenture in India seeks a Senior Manager in the Supply Chain team with deep data science expertise across demand planning, supply planning, network design, logistics, and manufacturing. You will create innovative offerings and lead workstreams to grow the practice through new client work and trained teams.

You will support business development, communicate with client leaders to understand challenges, design analytics solutions, and serve as delivery lead for one or more manager-led teams on

Qualifications

• Ph.D. or Master’s in a quantitative discipline.
• 11+ years data science experience post-Masters or 8+ post-PhD with 7+ years in analytics solutions design and delivery.
• Certifications in Python, AI/ML, Generative AI, Optimization, Simulation, or cloud platforms.

Responsibilities

• Lead analytics workstreams across supply chain domains.
• Serve as solution architect and delivery lead on client projects.
• Support business development and client leadership communications.

Skills

SC Analytics

Demand Planning

Supply Planning

Network Design

Logistics

Manufacturing

Generative AI

Python

AI/ML

Optimization

Simulation

Azure

GCP

AWS

Education

Master's in Statistics/Economics/OR/CS

PhD in a quantitative field

Tools

Python

AI/ML

Optimization

Simulation

Azure

GCP

AWS

Job description

Job Description

The ideal candidate for a Senior Manager in the Supply Chain team shall be,

• A subject matter expert in application of data science methodologies in one or more areas of supply chain analytics: Demand Planning, Supply Planning, Network Design, Logistics, Procurement, Manufacturing, After Market, or Control Tower
• Create new innovative offerings and lead workstreams in their area of expertise; demonstrate thought leadership which helps the growth of the Practice via new client work and more trained team members.
• Support business development and communicate with leaders in client teams to understand business challenges, be the solution architect, design and get buy-in for the analytics solution and serve as delivery lead of one or more Manager-led teams during project execution

Job Qualifications

Experience and Education

• Ideal candidates should have a Ph.D. or a Master’s degree in a quantitative discipline like Statistics/ Economics/ Operations Research/Computer Science, etc.
• Work experience in data science applications should be 11+ years after Master’s degree or 8+ years after Ph.D., with at least 7 years in advanced analytics solutions design and delivery experience in supply chain/logistics/manufacturing/ production. Global client experience is a plus.
• Certifications in any one or two of the areas will be an added advantage: Python, AI/ML, Generative AI, Agentic AI, Optimization, Simulation, data science application on any of the cloud platforms (Azure/ GCP/ AWS).