AI Consultant

Req ID: 381440 

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 Consultant - Banking to join our team in Plano, Texas (US-TX), United States (US).

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.