S&C GN - TS&T -Enterprise AI Value Strategy - Manager
Accenture (company site, opens in a new tab)10+ yrsMumbaiOn-siteDirect career pageEst. 30–50 LPA
Posted 11h ago
Reach people at Accenture
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Accenture you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead business discovery and design end-to-end agentic AI solutions, including target architectures, agent interactions, value streams and transformation roadmaps.
- Assess data maturity, governance and technology readiness; align business, architecture, data and engineering teams from business case through implementation.
- Build executive value cases with estimates, investment needs, KPIs and benefits tracking; define stakeholder, training and adoption plans for AI transformation.
Minimum Requirements
- Work Experience Required: 10+ years overall, including AI and data project experience; the JD highlights 10+ years in AI and data projects.
- Hands-on technical depth and agentic-system build experience in at least one platform or functional area across AWS, Azure, GCP, Snowflake, Databricks or Anthropic; broad credibility across cloud, data platforms and foundation models is expected.
- Bachelor’s degree in a relevant discipline; experience leading at least one end-to-end process reengineering or reinvention engagement.
- Recognized depth in at least one priority industry: Consumer Goods, Retail, Life Sciences or Banking.
Ideal Candidate Profile
- Enterprise transformation consultant who can translate business problems into agentic AI designs and connect strategic value to delivery requirements.
- Comfortable leading large-scale, cross-functional engagements with limited oversight and engaging senior stakeholders on executive business cases and technology choices.
- Brings practical understanding of enterprise processes and AI governance or regulation, including examples such as the EU AI Act or model risk.