Senior Manager - Supply Chain Analytics and Data Science

Accenture India Private Limited; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Accenture India Private Limited, part of the Global Network – Data & AI Practice in Accenture Strategy & Consulting, seeks a Senior Manager focused on I&F Decision Science to steer analytics initiatives in Bangalore or Gurgaon.

You will lead data science engagements across supply chain domains, shape innovative offerings, and guide teams while collaborating with client leaders to translate business challenges into scalable analytics solutions.

Qualifications

• Deep experience applying data science in supply chain domains such as Demand Planning, Supply Planning, Network Design, Logistics or Procurement.
• Expertise in using data science methods like Generative AI, ML, Deep Learning and Statistics in practical projects.
• Hands-on programming with analytics tools and platforms (Python, PySpark, SQL) and data visualization skills.

Responsibilities

• Serve as an SME applying data science methodologies across supply chain areas.
• Lead workstreams and drive new offerings, providing thought leadership for client growth.
• Act as delivery lead for one or more Manager-led teams during project execution and support business development.

Skills

Data science in supply chain

Stakeholder communication

Project leadership

Generative AI / AI methods

Python / PySpark / SQL

Tools

Python

PySpark

SQL

Job description

Entity : - Accenture Strategy & Consulting Team : - Global Network – Data & AI Practice : - Supply Chain & Operations Title : - I&F Decision Sci Practitioner Senior Manager Job location : - Bangalore or Gurgaon

Accenture Global Network - Data & AI Practice helps our clients reinvent and grow their business. Using a combination of expertise in industry, function, data science and technology, we lead transformation for our clients’ businesses. From strategy to execution, Accenture works with organizations to develop analytics capabilities to outperform their competition and improve customer loyalty. As part of our Data & AI Practice, you will join a network of smart and driven colleagues experienced in the use of leading data science methods including Generative AI, ML, and Statistical tools, across 15 major industries. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed insights and scalable solutions to help our clients improve outcomes and achieve high performance.

Job Description

• 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

• Deep experience in creating innovative solutions and delivering projects using data science in at least one of the supply chain functional areas: Demand Planning, Supply Planning, Network Design, Logistics, Procurement, Manufacturing, After Market, or Control Tower
• Expertise in use of data science for supply chain planning and operations of any of the major industries: Consumer Goods, Retail, Life sciences, Industrial, and Resources
• Expert in creating solutions using one or more data science areas like Generative AI, Agentic AI, Machine Learning, Deep Learning, Statistics, Operations Research
• Experience in leading work delivered via large project teams across multiple workstreams
• Strong skills in presentation of complex concepts and large-scale project work to senior stakeholders
• Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (e.g., Python, PySpark, SQL)