S&C GN - TS&T – Digital Foundations - AI & Data Strategy - Manager

Accenture seeks an AI & Data Strategy Manager in its Technology Strategy & Transformation Global Network practice. The role helps clients identify measurable value from AI and data, develop enterprise strategies, and plan transformations that support new products, services and business models. Locations listed are Bangalore, Gurugram, Mumbai, Pune, Chennai, Kolkata and Hyderabad.

Responsibilities

• Assess AI opportunities through use-case identification, value mapping, industry benchmarking and diagnostics. Work with client stakeholders to evaluate data maturity, AI readiness, infrastructure gaps and current capabilities.
• Design enterprise AI and data strategies covering foundation architecture, platform and cloud strategy, data architecture and product development lifecycle. Evaluate existing products and frameworks, recommend solutions, and assess their effects on clients’ technology landscapes.
• Develop AI roadmaps, value frameworks, prioritisation approaches and quantitative and qualitative business cases. Lead discovery workshops, design sessions and C-level discussions; manage budgets, forecasts and financial proposals.
• Define data governance, ownership, standards, policies and operating models. Advise on data quality, cloud migration, data lakes and cloud data warehouses. Address Responsible AI, regulatory compliance and ethical considerations; lead teams developing strategy recommendations and proofs of concept.

Experience and qualifications:

• The detailed posting specifies 10–15 years of experience; the listing header states 10–12 years. It also calls for 5–7 years in strategy consulting and 3+ years each in AI and data strategy project work, designing end-to-end enterprise AI and data solutions, and leading or managing teams.
• Requires understanding of traditional AI, generative AI, agentic AI, advanced cognitive methods, data supply chains, value-realisation frameworks, IT and enterprise architecture, and trends such as cloud, API-first architecture, Data Mesh and Digital Core. Experience with data governance technology and knowledge of a relevant industry, such as financial services, retail, consumer goods, telecom or life sciences, are sought.
• An MBA from a tier 1 institute and CDMP certification are preferred. A foundational understanding of data privacy and Responsible AI is desired; cloud AI/data practitioner certifications are desirable but not essential.

The posting highlights work with G2000 clients, collaboration with strategy and industry specialists, and personalised training.