AI & Intelligent Automation Consultant (Retail Banking)

NTT America, Inc.; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

NTT America, Inc. is seeking an experienced AI Consultant to lead AI-driven transformation programs in retail banking. The ideal candidate will possess over 12 years of experience in consulting and a strong focus on AI and automation. This role involves managing complex programs, advising senior stakeholders, and delivering innovative solutions to enhance customer journeys and operational efficiency.

Applicants should have a proven track record in the banking domain, particularly in delivering AI solutions and leading multi-disciplinary teams. The position offers a chance to work within a forward-thinking organization.

Qualifications

• 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.

Responsibilities

• Lead end-to-end AI transformation engagements for retail banking clients.
• Drive AI-led automation across key retail banking domains.
• Define architecture for AI/ML and GenAI solutions.

Skills

Retail Banking Expertise

AI & Automation Skills

Consulting & Leadership Skills

Education

12+ years of experience in consulting, banking, or AI transformation

Tools

RPA platforms (UiPath, Automation Anywhere, Blue Prism)

AI/ML frameworks (PyTorch, TensorFlow)

Job description

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.

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

1. 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.

1. 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)

1. Consulting & Leadership Skills

• Executive communication and storytelling
• Structured problem solving
• Value articulation and ROI modelling
• Stakeholder management across business & IT
• Team leadership and mentoring

1. 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.

Equal‑Opportunity Statement

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

For Pay Transparency information, see http://us.nttdata.com/en/compliance#ppnp.

For more information on your EEO rights under the law, see http://us.nttdata.com/en/compliance#know-your-rights.