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

Intelligent automation roadmap

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

AI-assisted credit underwriting

Automated income verification and risk scoring

Payments Cards Operations

Exception handling automation

Fraud detection and transaction monitoring

Customer Service

Conversational AI, agent copilots, and GenAI assistants

Collections Recovery

Predictive collections models and prioritization

3. AI Solution Architecture Delivery

Define architecture for AI/ML and GenAI solutions (cloud-native platforms).

Lead design and implementation of:

NLP-based automation

Computer vision and document processing

Generative AI (LLMs, copilots, RAG pipelines)

Integrate AI solutions into:

Core banking platforms (Finacle, Temenos)

CRM systems (Salesforce, Dynamics)

Digital channels (mobile/web)

4. Intelligent Automation Enablement

Drive adoption of:

RPA + AI (hyperautomation)

Workflow orchestration tools

Enhance:

Straight-Through Processing (STP)

First-Time-Right (FTR)

Turnaround Time (TAT)

Establish reusable automation frameworks and accelerators.

5. Data, AI Governance Responsible AI

Implement enterprise AI governance:

Model risk management

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

Customer lifecycle: acquisition → servicing → retention

Operations: onboarding, payments, servicing, collections

Familiarity with regulatory environment in retail banking.

AI Automation Skills

Machine Learning (classification, forecasting, anomaly detection)

NLP (document understanding, chatbots)

Generative AI:

Prompt engineering

Retrieval-Augmented Generation (RAG)

Copilot/agent design

Intelligent Automation:

RPA platforms (UiPath, Automation Anywhere, Blue Prism)

IDP tools (ABBYY, Hyperscience, etc.)

AI/ML frameworks (PyTorch, TensorFlow)

Consulting Leadership Skills

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

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

#LI-EMEA