Practice: Technology Strategy & Transformation, Global Network

Areas of Work: Enterprise AI Value Strategy

Level: Manager

Location: Bangalore, Gurugram, Mumbai, Pune, Chennai, Kolkata, Hyderabad

Years of Exp: 10+ years

Explore an Exciting Career at Accenture:

Do you believe software engineering is entering a new AI-native era? Do you enjoy helping CIOs, CTOs, CDOs and engineering leaders rethink how software is imagined, designed, built, tested, secured and delivered using AI? Are you passionate about being part of an inclusive, diverse and collaborative culture? If yes, this is the right opportunity for you. Join Accenture Technology Strategy & Transformation practice and work with global clients to shape the next frontier of enterprise software delivery using AI. Working with C-suite stakeholders, you will help enterprises adopt AI-native software delivery at scale and turn transformation ambition into measurable outcomes. You will help enterprises define AI-powered software delivery transformation strategies and translate them into executable approaches, define target state SDLC, create platform and tooling strategy and architecture, engineering productivity measures, delivery operating model change and measurable value realization.

The Practice - A Brief Sketch:

Technology Strategy & Transformation Practice is a part of Accenture Strategy and focuses on our clients' most strategic priorities. We help clients achieve growth and efficiency through engineering transformation initiatives, aimed at making software delivery powered by AI to bring productivity and quality uplift, resulting in larger enterprise value delivery.

You are:

An engagement owner for process reinvention. You take a large, complex enterprise process and redesign it as an agentic, AI-first process - from as-is diagnosis through agent architecture to realised value - and run delivery and the client relationship.

Basic Requirements:

- Lead discovery workshops with business stakeholders to identify pain points, opportunities, and AI transformation use cases.

- Design and articulate end-to-end agentic solution for enterprise process/functional use-cases - the agent hierarchy, target-state agentic architecture, value streams, agent interaction models and transformation roadmaps. (with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic)

- Assess enterprise data maturity, governance and technology readiness to shape scalable AI adoption.

- Lead solution definition across business, architecture, data, and engineering teams while ensuring end-to-end traceability from business value to implementation.

- Develop value framework for Agentic AI with the right industry/client context. Using the framework, build executive business cases including value estimation, investment requirements, KPIs, and benefits realization.

- Drive business readiness and change management by defining stakeholder engagement, communication, training, and adoption plans for AI transformation initiatives.

Good to Have:

- Experience defining enterprise data strategies, data products, and AI-ready data foundations.

- Exposure to knowledge architecture, semantic layers, and enterprise knowledge management.

- Experience designing AI governance frameworks, operating models, and organizational readiness for AI adoption.

- Strong consulting, executive communication, stakeholder management, and problem-structuring skills with experience leading cross-functional delivery teams.