AI & Intelligent Automation Consultant (Retail Banking)

Role Summary

We are looking for a seasoned AI Consultant to lead AI-driven transformation programs for retail banking operations, helping clients reimagine customer journeys and back-office efficiency using AI, GenAI, and intelligent automation. This role is focused on delivering measurable business outcomes-cost reduction, improved customer experience, enhanced compliance, and increased automation-across high-volume retail banking processes.

The candidate will work closely with clients' business and technology leaders to shape strategy, design solutions, and drive execution at scale.

Key Responsibilities 1. Client Advisory & Transformation Leadership

• Lead end-to-end AI transformation engagements for retail banking clients.
• Advise CXOs (COO, CIO, Head of Operations, Digital Heads) on:
• AI strategy and operating model
• GenAI adoption in customer and operations functions
• Identify, prioritize, and quantify high-value AI use cases across retail banking.

2. Retail Banking Process Transformation

Drive AI-led automation across key retail banking domains:

• Customer Onboarding & KYC
• AI-based document verification and IDP
• eKYC automation and compliance checks
• Lending Operations
• Automated income verification and risk scoring
• Payments & Cards Operations
• Fraud detection and transaction monitoring
• Customer Service
• Conversational AI, agent copilots, and GenAI assistants
• Collections & Recovery
• Predictive collections models and prioritization
• Define architecture for AI/ML and GenAI solutions (cloud-native platforms).
• Lead design and implementation of:
• NLP-based automation
• Computer vision and document processing
• Integrate AI solutions into:
• Digital channels (mobile/web)
• Drive adoption of:
• Workflow orchestration tools
• Straight-Through Processing (STP)
• First-Time-Right (FTR)
• Establish reusable automation frameworks and accelerators.

5. Data, AI Governance & Responsible AI

• Explainability, fairness, and auditability
• Ensure alignment with regulatory requirements:
• KYC/AML guidelines
• Data privacy (GDPR, local regulations)
• Define MLOps processes for model lifecycle management.

6. Delivery & Program Management

• Lead multi-disciplinary teams (data scientists, engineers, SMEs).
• Manage complex programs across geographies.
• Ensure delivery quality, timelines, and financial targets.

7. Business Development & Practice Growth

• Support sales and pre-sales activities:
• Solutioning, proposals, client pitches
• Build repeatable offerings and industry solutions.
• Contribute to thought leadership (POVs, whitepapers, client workshops).

Qualifications & Experience

• 12+ years of experience in consulting, banking, or AI transformation roles.
• Minimum 6+ years in retail banking domain.
• Proven track record of delivering AI/automation programs at scale.

Core Competencies

• Retail Banking Expertise
• Strong understanding of:
• Retail products: savings, credit cards, mortgages, personal loans
• Operations: onboarding, payments, servicing, collections
• Familiarity with regulatory environment in retail banking.
• AI & Automation Skills
• Machine Learning (classification, forecasting, anomaly detection)
• Generative AI:
• Retrieval-Augmented Generation (RAG)
• RPA platforms (UiPath, Automation Anywhere, Blue Prism)
• AI/ML frameworks (PyTorch, TensorFlow)
• Executive communication and storytelling
• Structured problem solving
• Value articulation and ROI modelling
• Stakeholder management across business & IT
• Team leadership and mentoring
• Preferred Credentials - AI/ML specializations,
• Experience with Tier-1 global banks or Irish banks. Big 4 / top consulting firms experience.
• Leadership Expectations - Act as a trusted advisor to senior client stakeholders, Drive innovation-led transformation, not just automation, Balance strategy + execution + commercial outcomes, Champion responsible and ethical AI adoption

NTT DATA is an equal opportunity employer. Qualified applicants will