S&C GN - TS&T – Enterprise AI Value Strategy - Senior Manager
Accenture
- Level
- Senior
- H-1B history
- 998 approvals (FY2023)
- Posted
- 15h ago
Skills
About this role
Enterprise AI Value Strategy– Senior Manager Join our team in Technology Strategy & Transformation for an exciting career opportunity to help our most strategic clients realize exceptional value from AI in software delivery, a boardroom priority for organizations globally and be at the forefront of shaping how enterprises adopt AI-native software engineering Practice: Technology Strategy & Transformation, Global Network Areas of Work: Enterprise AI Value Strategy Level: Senior Manager Location: Bangalore/Gurugram/Mumbai/Pune/Chennai/Kolkata/Hyderabad Years of Exp: 14+ years Explore an Exciting Career at Accenture Do you believe software engineering is entering a new AI-native era? Are you a problem solver who enjoys 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: A portfolio owner and enterprise advisor for reinvention. You set the process-reinvention agenda across accounts, shape enterprise agentic architecture and operating-model change, build the practice, and own the book of business. The work Basic Requirements * Shape enterprise AI strategy and advise C-suite stakeholders on AI-led business, technology, and functional transformation. * Lead executive discovery sessions to identify enterprise AI opportunities and define AI transformation roadmaps, investment priorities, and value realization strategies. * Define enterprise AI and data architecture, including AI platform strategy, agentic architectures, enterprise data strategy, data products, semantic layer, and target-state AI capabilities. (with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic) * Develop executive business cases, AI maturity assessments, value frameworks, and AI & data roadmaps to accelerate enterprise AI adoption. * Lead multidisciplinary consulting teams across strategy, architecture, data, engineering, and change management while owning executive relationships and client outcomes. * Drive practice growth through GTM development, solution innovation, proposal leadership, and AI opportunity origination. Good to Have * Experience designing enterprise operating models, organization redesign, and workforce transformation strategies for AI-native enterprises. * Experience defining AI governance, Responsible AI, AI risk, and compliance frameworks. * Experience shaping large AI transformation deals, strategic partnerships, and technology ecosystem alliances. * Strong executive communication, thought leadership, and consulting skills with experience influencing CxO decision-making and leading enterprise-scale AI transformation initiatives. Tech fluency Deep in at least one platform (AWS, Azure, Google Cloud), data