I&P GN - I&E - High Tech - Manager - Process Excellence-PE

Accenture in India; Navi Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture in India seeks a Manager to lead AI transformation initiatives for High Tech in the GN – Industry & Enterprise practice. You will design use-case portfolios and copilot/agentic operating models, guiding AI delivery across processes.

The role requires 7–11 years of experience, strong industry process knowledge, and business-case thinking to drive value and governance across programs.

Qualifications

• Experience leading AI transformation workstreams
• Hands-on AI delivery experience
• Deep knowledge of high-tech industry processes
• Ability to design copilot and agentic operating models

Responsibilities

• Lead AI transformation workstreams for High Tech clients
• Design AI use-case portfolios and operating models
• Drive AI-enabled workflows and process redesigns
• Define data strategies and governance for AI initiatives
• Evaluate and guide build-vs-buy decisions for AI stacks
• Support pre-sales with solution approaches and client interactions

Skills

AI Transformation

AI Fluency

High Tech Processes

Process Mining

Enterprise Transformation

Tools

Celonis

Signavio

Power Automate

Job description

Practice: Accenture S&C – GN – Industry & Enterprise | High Tech

Career Level: Manager

Experience: 7–11 years

WHAT WE ARE LOOKING FOR:

• AI Transformation Advisory: Lead AI transformation workstreams, design use-case portfolios, and define copilot and agentic operating models.
• High-Tech Process Expertise (AI-fluent): Deep knowledge of industry-specific processes, value chains, and operational pain points, with hands-on AI delivery experience.
• Process Excellence + AI: Process discovery and redesign, AI-enabled workflows, and process mining using Celonis, Signavio, or Power Automate.
• Enterprise Function Transformation: AI-enabled redesign across Finance, Procurement, HR, Marketing Operations, Customer Service, or GBS.
• AI Value Architecture: Identify value, develop business cases, baseline and track benefits, and model AI costs and consumption.
• Industry Data & AI: Define data strategies and products for AI, including data quality, governance, RAG, and retrieval design.
• Agentic Enterprise: Design multi-agent and copilot workflows, human-in-the-loop controls, guardrails, evaluation, and observability.
• AI Tooling and Platform Strategy: Evaluate LLM platforms and agent frameworks, and guide build-versus-integrate decisions across enterprise AI stacks.
• AI CoE Design and Operationalization: Establish governance, role archetypes, and build-buy-partner decision frameworks.
• AI Maturity Assessment and Transformation Sequencing: Benchmark capabilities, assess readiness, and prioritize investments.
• Core Capabilities: AI fluency across GenAI, RAG, and agents; client-facing domain consulting; AI adoption and change; workforce impact analysis; reskilling pathway design; and enterprise-wide AI fluency uplift.

PRE-SALES SUPPORT EXPERIENCE:

• Support pre-sales activities by contributing to proposals and RFP responses, shaping solution approaches, participating in client presentations and orals, and advancing opportunities alongside Senior Managers.