Full-Time

Senior Manager

Multiple Teams

Posted on 2/8/2026

Ernst & Young

Ernst & Young

5,001-10,000 employees

Global professional services: consulting, assurance, tax

No salary listed

London, UK + 1 more

More locations: Edinburgh, UK

In Person

Travel to client sites may be required; role based in London or Edinburgh.

Category
Data & Analytics (1)
Required Skills
Microsoft Azure
Apache Spark
Machine Learning
MLflow
Data Governance
Databricks
Requirements
  • A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications
  • A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs
  • Experience of building high performing teams and exceptional leadership and interpersonal skills
  • Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going
  • Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk
  • Ability to engage with senior stakeholders and manage large cross functional projects
  • Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered
  • Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients
  • Previous consulting experience will be greatly valued
  • A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path
Responsibilities
  • Lead the design and implementation of scalable data architecture solutions using Databricks on Azure
  • Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance
  • Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration
  • Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity
  • Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II)
  • Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases
  • Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance
  • Establish best practices for data governance, lineage, and metadata management within the Databricks environment
  • Translate business needs into robust data products that support real-time decision-making and predictive modeling
  • Lead performance tuning, cost optimization, and security hardening of Databricks on Azure

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.

INACTIVE