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 DevOps 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
…
