Market Facing Director - Databricks - AI & Data

Iris Software
London
4 days ago
Create job alert

Market Facing Director – Data Engineering – Databricks

Financial Services

London

The opportunity
The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Market Facing Director to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior leadership role and will require an individual with an exceptional track record of selling and delivering data transformation programs in the Financial Services sector.

The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together:

  • Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation
  • Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions
  • Data Science and Information Analysis - Working with our clients to design, build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions.

Your key responsibilities

  • Lead our Data engineering capability with an initial focus on Databricks, working in collaboration with our Business Consulting and Account teams to bring innovative thought leadership and solutions to our Financial Services clients.
  • Develop deep and meaningful relationships with senior Financial Services clients in the Data domain to grow the market.
  • Identify and lead large and complex data transformation projects from defining our market differentiating proposition through to execution.
  • Operate as a senior leader within our team developing our people and broader AI & Data capability.
  • Build and lead high performing teams, coaching, mentoring and serving as a role model for our people.

To qualify for the role, you must have

  • A track record of defining differentiating data transformation propositions, building pipeline, and ultimately winning large multi-year data transformation engagements.
  • A track record of winning and delivering large Databricks data transformations.
  • 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 advanced 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.

What we look for
We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors, our AI & Data team is looking forward to hearing from you.
What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

  • Support, coaching and feedback from some of the most engaging colleagues around.
  • Opportunities to develop new skills and progress your career.
  • The freedom and flexibility to handle your role in a way that’s right for you.

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in building a better working world.

Apply now.

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

Please note:Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters!

#J-18808-Ljbffr

Related Jobs

View all jobs

Account Director Public Sector

Account Director Public Sector

Associate Director - Emerging Technology Portfolio

Director of Solutions Architecture - InsurTech

Data Strategy & Advisory Leader - Payments

Solutioneer & Deal Maker - Energy Transition and Utilities

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.