At a Glance
- Tasks: Create AI-powered solutions to enhance payroll processes and improve efficiency.
- Company: Join a forward-thinking EY team focused on innovation and collaboration.
- Benefits: Flexible working, competitive rewards, career development, and supportive coaching.
- Other info: Dynamic role with opportunities for growth and travel across the UK.
- Why this job: Make a real impact by transforming payroll operations with cutting-edge AI technology.
- Qualifications: 3-4 years in business analysis or tech roles; AI tool experience preferred.
The predicted salary is between 63000 - 77000 £ per year.
Overview
As an AI-enabled solutions analyst in Global Payroll Operations, you identify operational pain points and turn them into practical tools and improvements.
You’ll work across the engagement lifecycle, employing AI-assisted development to deliver prototypes, data utilities and workflow automations at pace.
This is a business-facing role focused on governance, safety and adoption, not traditional software engineering.
You help practitioners do more with AI while ensuring human accountability and sound risk management.
You’ll join a collaborative, innovation-driven EY team shaping payroll and tax delivery at scale.
- Pay / Benefits
- enterprise AI development tools
- supportive coaching
- flexible working
- career development
- competitive total rewards
- inclusive culture
Responsibilities
- Deliver AI-augmented solutions across the engagement lifecycle, including prototypes, data utilities and automation tools.
- Validate AI-generated logic, test edge cases, and fix defects before release; gather user feedback and iterate in short cycles.
- Maintain version histories, release notes and user-facing guidance; follow procedures while seizing safe improvement opportunities.
- Analyze processes and data to identify inefficiencies, quantify effort and risk, and produce concise assessments with mitigations.
- Ensure governance, data protection and audit trails; map outputs to controls and document limitations and rollback plans.
- Apply Dev Ops practices for versioning, testing, release, deployment verification and rollback; keep environments secure and traceable.
- Support non-technical stakeholders to adopt AI-assisted ways of working; create user guides and training materials.
- Key requirements
- 3–4 years of professional experience in business analysis, solutions delivery, consulting, operations, software development, technology enablement, project or product management.
- Experience using AI tools to deliver tangible outputs (prototypes, analyses, documents, workflows).
- Strong communication skills with senior stakeholders; ability to work independently in ambiguous problems.
- Willingness to travel within the UK; no formal degree required.
- collaborative
- curious
- risk-aware
- experience with AI tools to create outputs
- data transformation and data-quality awareness
- reading AI-generated code and directing corrections
Senior Associate, Payroll Delivery, Newcastle Upon Tyne/Manchester/Belfast 1 1 1 employer: EY (Ernst & Young)
At EY, we pride ourselves on being an exceptional employer, offering a flexible working environment that empowers our employees to thrive. Our diverse and inclusive culture fosters collaboration and innovation, while providing ample opportunities for professional growth and development. Join us in London and be part of a globally connected team dedicated to building a better working world through cutting-edge technology and client-focused solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Associate, Payroll Delivery, Newcastle Upon Tyne/Manchester/Belfast 1 1 1
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like EY (Ernst & Young)!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Associate, Payroll Delivery, Newcastle Upon Tyne/Manchester/Belfast 1 1 1
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at EY (Ernst & Young), tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at EY (Ernst & Young)
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with EY (Ernst & Young)’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
