TEVOS

Manager | S&T - Advanced Analytics | Bengaluru | Supply Chain & Network Operations

Deloitte · Bengaluru, IN · India

Lead Verified source Salary not disclosed

Posted 29 Sep 2026 (first seen by Tevos)
Last confirmed 26 Oct 2026 (last seen by Tevos)

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Job description

Manager | S&T - Advanced Analytics | Bengaluru | Supply Chain & Network Operations

  • Job requisition ID : 114178
  • Location: Bengaluru
  • Entity: Deloitte Touche Tohmatsu India LLP

The team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

Your work profile

Lead end-to-end AI/ML, Optimization, GenAI, and Agentic AI solutions for complex business and supply chain challenges.

  • Own the lifecycle from problem definition and solution design to production deployment, scaling, monitoring, and continuous improvement.
  • Lead predictive and prescriptive solutions using ML, forecasting, optimization, operations research, and simulation.
  • Design enterprise GenAI and Agentic AI architectures, including LLMs, RAG, AI agents, and intelligent workflows.
  • Drive transition of AI solutions from PoC to scalable, production-grade deployments, ensuring performance, reliability, security, and cost efficiency.
  • Establish MLOps/LLMOps, AI governance, monitoring, and responsible AI practices.
  • Lead multidisciplinary data science and AI teams and provide technical direction and mentoring.
  • Engage senior stakeholders on AI strategy, transformation roadmaps, solution value, and business outcomes.
  • Lead solutioning, proposals, RFPs, business development, and reusable AI/analytics accelerators.

Key skills required

7+ years of experience in Data Science, AI/ML, Advanced Analytics, or Optimization.

  • Strong expertise in ML, forecasting, optimization, operations research, and simulation.
  • Strong experience with GenAI, LLMs, RAG, embeddings, Agentic AI, and AI architectures.
  • Proven ability to deploy and scale AI/ML and GenAI solutions in enterprise environments.
  • Experience with MLOps/LLMOps, cloud platforms, APIs, data platforms, and enterprise integrations.
  • Strong understanding of AI scalability, governance, security, and performance.
  • Supply chain/manufacturing experience preferred.
  • Strong leadership, client management, solutioning, and business development skills.

Source: Deloitte careers page, collected by Tevos on 26 Oct 2026; verify details on the employer site. Tevos does not take applications — the Apply button opens the employer’s own page.

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