Experian
AI & Automation Solution Consultant
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AI & Automation Solution Consultant
AI & Automation Specialist (GenAI) – Experian
About Experian
Experian is a global data and technology company, powering opportunities for people and businesses worldwide. We operate across industries including financial services, healthcare, automotive, agribusiness, and insurance, harnessing data and innovation to drive impact. With 25,200+ employees across 32 countries, we invest in cutting-edge technologies and teams to unlock the potential of data.
About the Role
The AI & Automation Centre of Expertise (GenAI CoE) supports teams across Experian’s UK business, embedding generative AI, machine learning, and automation into products. This role focuses on delivering responsible, measurable impact in a hybrid environment.
This hybrid role reports to the Head of Automation and balances strategic thinking with hands-on execution—turning ideas into action.
Two Core Responsibilities
You’ll work across:
- Opportunity discovery & product ownership: Identifying, refining, and validating AI and automation use cases
- Prototyping & technical scoping: Building and testing low-code solutions using the latest technologies
A key aspect of this role is fluidity: transitioning between strategic pipeline management and tactical delivery to eliminate bottlenecks and drive momentum.
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Who Are We Looking For?
The ideal candidate will:
✅ Be comfortable working with early-stage, ambiguous ideas, transforming them into structured opportunities ✅ Be hands-on and experimental, enjoying rapid prototyping and quick testing ✅ Embrace continuous learning, staying ahead of new AI capabilities and low-code tools ✅ Connect business needs, data, and technology to make impactful decisions
This isn’t a pure developer role nor a traditional product owner—it’s a hybrid between both, where you turn ideas into tangible outcomes.
Key Responsibilities
- Work with stakeholders to translate business problems into clear user cases
- Manage a pipeline of AI/automation opportunities, assessing feasibility and value
- Compare AI vs. traditional approaches, defining MVPs, success criteria, and experiments
- Prototype solutions using low-code/no-code platforms
- Communicate outcomes, including trade-offs, risks, and recommendations
- Explore new tools to improve delivery methods
Requirements
Must-Have Experience
- Product, digital, or technical role where you’ve shaped and delivered solutions
- Cross-functional communication—explaining benefits to both business and technical teams
- Ability to structuredly frame problems and create deliverable solutions
- Comfort in exploratory environments, using experiments to refine progress
- Curiosity in AI and automation, with an interest in real-world applications
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Nice-to-Have Experience
- Experience with AI use cases (generative AI, classification, workflow automation)
- Hands-on experience with prioritisation, pilots, or MVP-based delivery
- Familiarity with low-code/no-code platforms
- Skill in explaining technical concepts to non-technical partners
Benefits & Perks
- Hybrid working: 40% office-based
- Competitive compensation with a discretionary bonus plan
- Core benefits:
- Pension scheme
- Bupa healthcare
- Sharesave scheme
- Annual leave: 25 days + 8 bank holidays + 3 volunteering days (optional extra leave available)
About Our Culture
Experian is award-winning (e.g., World’s Best Workplaces™ 2025) and prioritises a people-first, inclusive, purpose-driven environment. We champion diversity and equity, recognising everyone’s unique strengths.
If you require accommodation or support for a disability, please notify us early in the process.
Find out why Experian is an exceptional place to work—explore our Careers site.
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