AI Consultanting Manager - Banking

Req ID: 390378

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Consultanting Manager - Banking to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

AI Consultant

NTT DATA is a trusted global innovator of business and technology services, helping clients innovate, optimize, and transform for success. We strive to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Overview:

The AI Consultant is a client-facing advisor within the AI Go-to-Market organization responsible for identifying, shaping, and mobilizing AI transformation opportunities. This role combines strategy acumen, AI fluency, structured consulting methods, and commercial orientation to help clients define AI value cases, operating models, roadmaps, and adoption approaches. The AI Consultant partners with AI Architects, Forward-Deployed Engineering, Delivery, Sellers, ecosystem partners, and Geo and Industry leaders to convert client priorities into qualified opportunities and successful engagements.

Key Responsibilities:

- Act as a trusted client advisor to identify AI transformation opportunities, business pain points, and value cases.

- Shape AI strategy, target operating model, governance, adoption, responsible AI, and transformation roadmaps for clients.

- Translate client needs into practical AI solutions in partnership with architects, FDE, delivery, and partner teams.

- Develop proposals, business cases, ROI models, proof-of-concept plans, and executive-ready client materials.

- Support opportunity qualification, deal shaping, solutioning, mobilization, and transition into delivery.

- Lead and support structured consulting activities, including workshops, stakeholder interviews, assessments, prioritization exercises, and roadmap development.

- Bring a strategic lens to client conversations, connecting AI use cases to operating model change, business outcomes, adoption, and measurable enterprise value.

- Reuse and improve global GTM assets, offering content, credentials, delivery patterns, and client-facing narratives.

- Stay current on AI, agentic AI, enterprise adoption trends, responsible AI, and partner capabilities to strengthen client advisory quality.

Success Measures:

- Personal sales contribution or qualified pipeline contribution, as applicable by career level.

- Utilization or billability against target.

- Quality of client deliverables, proposal contribution, stakeholder feedback, and reuse of global GTM assets.

- Contribution to downstream implementation opportunities and successful client mobilization.

Basic Qualifications:

- 8+ years of professional experience in consulting, professional services, strategy, transformation, AI, data, analytics, or related client-facing roles.

- 3+ years of experience shaping or delivering AI, data science, machine learning, GenAI, agentic AI, analytics, or digital transformation initiatives. Experience may be demonstrated through client delivery, on-the-job AI work, a data science background, or an advanced degree.

- Demonstrated strategy acumen, including business model analysis, operating model design, value case development, transformation planning, and executive narrative development.

- Experience supporting presales activities such as opportunity identification, solution shaping, proposal development, business case creation, or executive-level deal reviews.

- Working knowledge of enterprise AI concepts, including LLMs, AI agents, RAG, ML lifecycle, data readiness, responsible AI, governance, and adoption considerations.

- Bachelor's degree or equivalent work experience.

Preferred Skills:

- Master's degree, MBA, data science degree, AI/ML certification, or equivalent practical AI experience.

- Experience in one or more industries such as financial services, insurance, manufacturing, healthcare and life sciences, public sector, automotive, or commercial sectors.

- Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake.

- Strong executive communication, structured problem solving, facilitation, stakeholder management, and collaborative teaming skills.

- Ability to travel as required for client and internal engagements.