Full-Time

FS Technology Consulting

AI and Data

Ernst & Young

Ernst & Young

5,001-10,000 employees

Global professional services: consulting, assurance, tax

No salary listed

Dublin, Ireland

Hybrid

Hybrid working; travel to client sites may be required.

Category
Consulting (1)
Required Skills
Talend
Microsoft Azure
Python
MySQL
R
Git
IBM Db2
SQL
Postgres
AWS
Collibra
Informatica
Alteryx
Data Governance
Oracle
Excel/Numbers/Sheets
Requirements
  • Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics/ Applied Mathematics, Quantitative Economics, Engineering, Finance, Economics, Business Administration, or equivalent professional education.
  • Relevant work experience in client-facing data governance, data management, data engineering or data change delivery roles.
  • Knowledge of data management frameworks, processes, compliance requirements, and impact of relevant regulations on data lifecycle (e.g. BCBS239 in banking).
  • Minimum of 4 years of experience with a blue-chip consulting firm as a Data Consultant with a focus on finance, risk, and regulatory projects.
  • Experience working with Financial Services clients (Banking, Insurance or Wealth and Asset Management).
  • Familiarity with Finance, Risk or/ and Regulatory Reporting domains in Financial Services industry.
  • Experience working with a selection of data tools and languages relevant to your specialism, e.g. Database Management Systems (DBMS) such as Oracle, Microsoft SQL Server, MySQL, and PostgreSQL; Data governance and metadata management tools like Collibra, Alation, and Informatica Axon; ETL tools like Informatica or Talend, Teradata, Oracle, IBM Bd2 etc, Collibra, Alteryx; AWS, Azure, Python, R. Advanced Excel, and SQL expertise are a must.
  • Knowledge of data quality tools to assess, improve, and monitor the quality of data.
  • Knowledge of version control systems such as Git for managing changes to code and data models.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication and interpersonal skills, with the ability to engage effectively with both technical and non-technical stakeholders.
  • Ability to craft clear and professional PowerPoint presentations that effectively communicate complex data and insights.
  • Team centric mindset, always ready support their colleagues and not afraid to ask for help when needed.
  • Understanding and respect for client and team deadlines, great organisation skills and ability to organise and prioritise own work to achieve the delivery objectives.
Responsibilities
  • Collaborate with IT and business teams to understand business and technical requirements in order to identify, prioritise and document data management requirements for risk, finance or/ and regulatory change.
  • Conduct thorough analysis of existing data management processes and systems, identifying areas for improvement and integration with new or improved risk, finance, or regulatory solutions.
  • Analyse and conduct gap analysis in existing data management processes and lifecycle to identify impact areas and design solution options.
  • Develop and implement data management solutions to support the implementation of risk, finance or / and regulatory technology and reporting changes, while ensuring internal and external data compliance. Understand impact of regulatory requirements on data solutions, such as BCBS239 principles.
  • Monitor data quality and integrity throughout the transformation process, implementing controls and fixes as needed and maintaining compliance with the organisation’s Data Governance and Data Management policies and procedures.
  • Implement Data Lineage process improvements and maintain documentation to trace data from source to report. Conduct data lineage gap analysis and provide insights on existing systems, technology, and recommended improvements.
  • Provide technical expertise and support for data-related issues, including troubleshooting and resolving data integrity problems.
  • Serve as a liaison between business stakeholders, technical and data teams, ensuring clear communication and understanding of data lifecycle requirements, challenges, and objectives.
  • Support the design and implementation of risk, finance and/ or regulatory solutions with data lifecycle expertise, ensuring alignment with business goals and compliance with internal and external policies, procedures, and regulations.
  • Conduct research and coordinate insights sessions in the selection and implementation of new data technologies, tools and systems for Finance and Risk Domains.
  • Provide training and documentation to end-users to ensure successful use and adoption of available data management assets.
Desired Qualifications
  • Relevant Data Engineering or Data Management certifications and experience with Agile methodologies are a plus.
  • Knowledge of graph database technologies a plus.
  • Ability to deal with ambiguity and uncertainty.
  • Growth and continuous learning mindset.
  • Be able to conduct workshops and stakeholder interviews.
  • Ability to build and manage relationships across business and technology stakeholders.
  • Management of MI/ BI reports or preparation and delivery of regulatory reports as a bonus.

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company Size

5,001-10,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Boston, Massachusetts

Founded

1991

Simplify Jobs

Simplify's Take

What believers are saying

  • ESG and sustainability services capture growing enterprise carbon tracking demand.
  • AI-driven consulting from whyaye acquisition expands high-margin advisory revenue.
  • Diverse entrepreneur network expansion opens mid-market consulting growth opportunities.

What critics are saying

  • NMC Health £2bn lawsuit alleges negligent audits from 2012-2018 period.[2]
  • SEC $100 million penalty for CPA exam cheating and evidence withholding.[1]
  • Super Micro Computer auditor resignation cites governance and transparency concerns.[4]

What makes Ernst & Young unique

  • Blockchain carbon tracking platform on Ethereum differentiates ESG advisory services.
  • whyaye acquisition strengthens AI and data analytics consulting capabilities.
  • Tony Jordan appointed Chief Ethics Officer signals governance and compliance focus.

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Benefits

Professional Development Budget

Flexible Work Hours

Remote Work Options

Company News

Yahoo Finance
Apr 7th, 2026
EY deploys agentic AI across global audit practice with 2028 full rollout target

EY has deployed enterprise-scale agentic AI across its global assurance practice, integrating a multi-agent AI framework into EY Canvas, its audit technology platform. The system, built on Microsoft Azure, Microsoft Foundry and Microsoft Fabric, aims to help audit teams coordinate complex tasks and respond to risks more adaptively. The rollout follows extensive piloting and testing, with AI now embedded across all audit stages for engagements worldwide. EY expects the technology to underpin all end-to-end audit activities by 2028. The company says the platform will reduce administrative burdens on clients whilst enhancing risk evaluation and maintaining professional judgement. EY Global chair Janet Truncale described it as a "human-led, AI-powered audit of the future" designed to deliver greater value and insight for clients and stakeholders.

PR Newswire
Mar 26th, 2026
EY launches blockchain privacy sandbox to test zero-knowledge proof smart contracts

EY has launched the EY Blockchain Privacy Sandbox, a web-based development environment enabling organisations to experiment with privacy-preserving smart contracts on public Ethereum Virtual Machine-compatible blockchains. The sandbox uses Starlight, an open-source zero-knowledge proof compiler originally developed by EY and now in the public domain. The platform allows developers to transform standard Solidity smart contracts into privacy-preserving applications without requiring local setup, lowering technical barriers to zero-knowledge technology adoption. It includes sample projects that can be explored and modified to accelerate proof-of-concept development. Grand View Research projects the global zero-knowledge proof market will reach approximately $7.6 billion by 2033. The sandbox is designed for experimentation and validation, helping businesses assess feasibility before broader enterprise integration. The platform is now available via request.

The Associated Press
Mar 24th, 2026
Unilever and UK government back Kenya-India waste tech partnership to automate recycling

Kenyan waste management enterprise TakaTaka Ni Mali and India-based TrashCon have partnered to modernise Kenya's circular economy infrastructure through decentralised waste segregation technology. The collaboration was facilitated by TRANSFORM, an impact accelerator led by Unilever, the UK Government's FCDO, and EY. The partnership addresses implementation challenges of Kenya's Sustainable Waste Management Act (2022), which requires household waste separation. TrashCon's TrashBot technology automatically separates wet organic material from dry recyclables, creating safer conditions for waste workers whilst improving recovery rates. Urban waste collection in Kenya currently reaches only 20-30%. TakaTaka Ni Mali will serve as local reseller for TrashBot, supporting installation and maintenance whilst deploying its Ecomali digital traceability platform. The first TrashBot model will be showcased at Kenya International Investment Conference from 25-27 March, with two additional machines planned.

PR Newswire
Mar 18th, 2026
EY and 8090 launch AI-native software development platform claiming 70% productivity boost and 80x faster delivery

Ernst & Young LLP has launched EY.ai Product Development Lifecycle in partnership with 8090, introducing an AI-native approach to software development. The system, powered by 8090's Software Factory platform, uses AI agents with human oversight to deliver production-ready software in days or weeks rather than months. The framework addresses traditional development challenges including project failures and budget overruns. An EY US use case demonstrates a 70% increase in productivity and cost efficiency, with delivery speeds 80 times faster and over 95% automated test coverage. EY.ai PDLC will be deployed to tens of thousands of EY US consultants. The platform targets two key areas: legacy system modernisation and new product development. EY plans to expand the programme with additional technology partners over time.

Business Wire
Mar 17th, 2026
EY selects CrowdStrike and NVIDIA AI to power agentic SOC services

Ernst & Young LLP has selected CrowdStrike's Falcon platform to power its Agentic Security Operations Centre services, accelerated by NVIDIA AI infrastructure. The collaboration aims to help enterprises transform security operations using AI agents capable of responding to threats at machine speed. The partnership comes as average eCrime breakout time has dropped to 29 minutes, with the fastest observed attack occurring in just 27 seconds. CrowdStrike's agentic platform leverages NVIDIA's AI tools, including Nemotron models and NeMo microservices, to enable more accurate threat analysis and faster response times. The system includes AI-ready data layers, mission-ready agents trained on real response expertise, and Charlotte AI AgentWorks, which allows organisations to build custom agents without coding. The platform aims to address the challenge of analysts manually investigating the growing volume of security alerts.