AI Consultant - Banking

About the role

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.

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.

Qualifications

• 5+ 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.
• 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.