Tax Technology & Transformation - Senior Manager

Ernst & Young Advisory Services Sdn Bhd
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Solution Architect

Senior Solution Architect

Senior Solution Architect

Senior Solution Architect (CDIO Borders & Trade)

Senior Solution Architect (CDIO Borders & Trade)

Senior Solution Architect (CDIO Borders & Trade)

Location: London

Requisition ID: 1552760

Tax Technology & Transformation, Financial Services - Senior Manager

EY’s UK Financial Services Tax Technology and Transformation (TTT) business is a rapidly growing team of technology, data science, business transformation and tax professionals that help financial services organisations to redefine their tax operations and functions, driving transformation for the digital age.

The opportunity
We are expanding our team of tax technologists within the UK Financial Services TTT business to reflect the growing demand for tax technology related change and transformation projects across our client portfolio. The role will focus on enabling our clients to transform their business processes across a range of tax domains (including direct, indirect and product tax) through the effective use of tax technologies, data strategies and automation capabilities.

Your key responsibilities

  • Subject matter expertise including solution/vendor evaluations, design, implementation and configuration of technology and data orientated solutions
  • Evaluates tax function business models, processes and operations to develop a good comprehension of business needs and requirements
  • Analyse and evaluate tax business requirements and translates into tax and IT technical requirements and specifications
  • Produces technical specifications to guide system architectural design and development and conducts quality assurance tasks
  • Interacts with business stakeholders in both the tax practice and the IT function to gather and document business requirements
  • Analyses reports and assessments to provide insights on whether a solution/technology meets overall business requirements
  • Embedding and sustaining tax data quality standards in financial systems to enhance tax processes and operations
  • Contribute to business case development and support RFP responses.

Skills and attributes for success

  • Proven experience gathering and interpreting tax function requirements
  • Proven experience developing technical requirements and specifications
  • Experience applying Lean Six Sigma and Business Process Modelling and Notation
  • Experienced in the development and/or implementation of tax technology solutions
  • Ability to manage the successful delivery of technically complex consulting projects
  • Project and programme management skills
  • Build valuable relationships both within EY and with client stakeholders
  • Strong written and verbal communication skills
  • Drive to deliver the highest quality output
  • Ability to manage multiple initiatives with agility
  • Interest in understanding and developing knowledge of ERP software and Cloud-computing platforms

To qualify for the role, you must have

  • A university degree. ACA/CTA or equivalent qualifications are preferable but not essential
  • Substantial previous experience working in a technology or business transformation role
  • Experience in the development and/or implementation of tax technology solutions
  • Be a “builder” or “architect” who can thrive in a fast-moving entrepreneurial environment
  • Experience of a similar role within a comparable firm to EY is preferred
  • Willingness to travel within the UK or abroad

Ideally, you’ll also have

  • Experience working in financial services
  • Experience of ERP software
  • Broad knowledge of tax compliance reporting requirements

What we look for

We're looking for a team-player, with strong communication skills and an ability to manage and deliver quality, technically accurate output in a timely manner.

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.

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements.

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.

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.

#J-18808-Ljbffr

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.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.