Find Data center engineering operations area manager, data center engineering operations Jobs in Dublin, D

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Software Development Engineer, Amazon Optics
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Director, Technical Account Management
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- Azure
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- IT
- Employee stock purchase plan
Quick apply
Senior Regional Environmental Manager – EMEA, AWS Environmental
Amazon Data Services Ireland Limited - A65 —Dublin, County Dublin
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- AWS
- Bachelor's degree
- Communication skills
AWS Cloud Engineer
Mars Capital —Dublin, County Dublin
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- Hybrid work
- Computer Science
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Quick apply
1d
BIM Designer - MEP, Design Services
Amazon Data Services Ireland Limited —Dublin, County Dublin
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Controls Design Engineer (EPMS), CDE
Amazon Data Services Ireland Limited —Dublin, County Dublin
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HR Business Partner
Tate Europe —DUBLIN 10, County Dublin
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Senior Energy Marshall/SAP
Linesight —Dublin, County Dublin
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Senior Security Engineer, Detection and Response
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ICT Design Engineer, EMEA
Amazon Development Centre Ireland Limited —Dublin, County Dublin
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Senior/Lead Process Design Engineer (EPCM)
DPS Group —Citywest, County Dublin
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OEM Business & Market Development – Drive Products
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Electrical Capacity Install Technician , DCEO Capacity Install
Amazon Data Services Ireland Limited —Dublin, County Dublin
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Structural Sales Engineer
Tate Europe —DUBLIN 10, County Dublin
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AI & Intelligent Automation Consultant (Retail Banking)

NTT Ltd -
Dublin, County Dublin

Apply Now

Job details

Qualifications

TensorFlow
Mentoring
Forecasting
AI
Leadership
Banking
Big 4

Full 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

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.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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 our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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Refine Your Search

data center engineering operations area manager, data center engineering operations jobs in dublin, d

AI & Intelligent Automation Consultant (Retail Banking)

HV/MV Senior Electrical Design Engineer, AWS HVDE Design Engineering EMEA

Software Development Manager, Optical Network Capacity Delivery, GCNA

Senior Power Systems Engineer

Software Development Engineer, Amazon Optics

Optical NDE II, Optical Long Haul Network Deployment

Director, Technical Account Management

Senior Regional Environmental Manager – EMEA, AWS Environmental

AWS Cloud Engineer

BIM Designer - MEP, Design Services

Controls Design Engineer (EPMS), CDE

HR Business Partner

Senior Energy Marshall/SAP

Senior Security Engineer, Detection and Response

ICT Design Engineer, EMEA

Senior/Lead Process Design Engineer (EPCM)

OEM Business & Market Development – Drive Products

Electrical Capacity Install Technician , DCEO Capacity Install

Structural Sales Engineer

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