Senior Manager Data Governance, Data & Analytics, Belfast

EY
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Business Intelligence and Reporting Analyst

Senior Data Engineer and Data Manager

Data Science Manager - ML / AI - Insurance

Data Product Manager

Data Scientist

The opportunity

Our data analytics team focuses on helping our clients unlock value from their information assets through collaboration with domain experts across assurance, tax, transactions, and consulting to embed innovative data analytics solutions in existing business areas.

Data Analytics is one of the most exciting fields in today’s digital world. It offers challenging work, career development and great job satisfaction. EY’s mission is to build a better working world by asking better questions and finding better answers – this is what data analytics all about is. What better way to help us achieve our mission than by working with our data science and engineering teams as we continue this journey.

In response to strong market demand, we are seeking additional individuals to enhance our existing team. We are transforming our business by embedding analytics in everything we do. We are helping our clients transform their businesses by doing the same, across industry sectors and lines of business. We are growing and so are our people. We are hiring experienced professionals in a variety of roles, this is a fantastic opportunity to contribute to the Data Analytics team who are not only changing how we deliver services to our clients but are also committed to creating a diverse environment where EY people are valued, where they feel they belong and can contribute their best in every encounter.

What we offer

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance.

A 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.

Your key responsibilities

The nature of this role means no two projects will be the same. That means you’ll need to think on your feet and challenge existing practices to develop answers to complex issues. You’ll also be collaborating with colleagues across multiple service lines, so we’ll look to you to build relationships and identify opportunities for our clients to benefit from our knowledge in other areas. Occasional travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields.

· Work in multi-disciplinary teams across various industries, helping our clients use analytics to transform and improve their business.

· Establish enterprise data governance framework, including data policies, standards, and processes to help our clients achieve overall business needs.

· Develop and implement data management and governance roadmap, including strategic priorities for establishing organisation-wide data capabilities.

· Help our clients create and enforce policies for effective data management.

· Identify new business opportunities for using data assets to achieve business efficiency.

· Lead a team responsible for driving data governance projects leveraging robust tools and infrastructure to sanitise, store and manipulate data.

· Design data quality frameworks to enhance clients' data quality across their key domains and processes.

· With guidance from partners, directors, and senior managers, you'll identify and act on potential business opportunities for EY.

· Actively establish, maintain, and strengthen internal and external relationships.

· Devise and implement efficient and secure data handling and analysis procedures with attention to all technical aspects.

· Establish data rules and procedures for data sharing with Senior Management, internal and external stakeholders.

· Guide our clients in preparing and excelling in their approach and adopting best practices for the rapidly evolving data regulations and technological changes.

· Drawing on your knowledge and experience, you'll create innovative commercial insights for clients, adapt methods and practices to fit operational team and cultural needs and contribute to thought leadership.

Skills and attributes for success

· A Bachelor's, Master’s, or PhD Degree

· 7+ years of experience in data management and governance

· Understanding of technologies used in data governance and management (, Collibra, Alation, Informatica, etc.)

· People management experience

· Exceptional written and verbal communication skills

· Demonstrated ability to supervise and develop others, managing budgets, scope creep, expectations, deliverables, timelines, etc.

· Ability to communicate technical information in non-technical language.

· Highly professional with the ability to work in challenging, diverse, and evolving client environments.

· Passion for contributing to the team's growth and our Data Analytics practice.

· Data Governance or Data Management related certifications (, from DAMA, EDMC)

Career progression

· When you join EY, you will be supported to ensure that you are enhancing your skills from day one.

· Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.

· As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success as defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.

· Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.

· Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.

· We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.

Here’s how EY can benefit more than just your career

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

· Discounted health insurance

· Web Doctor

· Pension

· The purchase of additional annual leave

· Hybrid working

· Gym membership

Inclusion & Diversity

Inclusion, diversity, and equity are part of who we are at EY.

Diversity is about differences; you’ll be embraced for who you are and empowered to use your voice to help others find theirs.

We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential.

Apply:

If you are interested in the above role, please submit a CV via the EY Careers Site.

To hear stories from professionals within our business around their experience, career advice and progression, and belonging and flexibility please visit us here.

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.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.