About this role
Accenture’s Technology Strategy & Transformation practice seeks a Manager to help enterprise clients realize measurable value from AI. The role combines AI-first process reinvention with strategies for AI-native software delivery. The posting lists Bangalore, Gurugram, Mumbai, Pune, Chennai, Kolkata and Hyderabad as locations; the job header identifies Kolkata.
Responsibilities
- Lead stakeholder discovery workshops to identify process pain points, transformation opportunities and AI use cases. Own complex engagements from assessment of current processes through agentic solution architecture, delivery and value realization.
- Design end-to-end agentic solutions, including agent hierarchies, interaction models, target-state architecture, value streams and transformation roadmaps. Assess data maturity, governance and technology readiness, and coordinate business, architecture, data and engineering teams so implementation traces back to business value.
- Develop industry-specific Agentic AI value frameworks and executive business cases covering value estimates, investment needs, KPIs and benefits realization. Define stakeholder engagement, communication, training and adoption plans.
- Work with senior technology leaders on AI-powered software delivery strategies, including target-state SDLC, platform and tooling choices, engineering productivity measures and operating-model change.
Requirements
- Minimum 10 years of overall experience, including AI and data projects; experience leading at least one end-to-end process reengineering or reinvention engagement and delivering large-scale consulting work with minimal oversight.
- Enterprise-scale process modelling and requirements definition; senior stakeholder management, structured problem-solving, program management and communication skills. Awareness of AI governance and regulation, including the EU AI Act and model risk.
- Technical depth and agentic-system build experience in at least one platform or functional area. Deep expertise in a cloud platform, data platform or foundation-model provider, with broader fluency across those categories and the ability to assess where autonomous systems create value. Recognized process expertise in at least one of Consumer Goods, Retail, Life Sciences or Banking. A bachelor’s degree in a relevant discipline is required.
Preferred
An MBA; experience with enterprise data strategies, data products, AI-ready data foundations, knowledge architecture, semantic layers, enterprise knowledge management, AI governance frameworks or operating models; and cross-functional delivery leadership. The posting highlights work with G2000 clients and personalized strategy and consulting training.