AI & Automation Opportunity Architect

Experian; Nottingham; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid working 40% office based

Pension

Healthcare

Sharesave scheme

Discretionary bonus plan

25 days annual leave

Job summary

Experian is seeking a proactive AI & Automation professional to shape ideas and deliver tangible outcomes. You will own opportunities from discovery through prototyping, balancing AI-led and traditional analytics when delivering value.

The role sits at the intersection of business needs, data, and technology, not a pure development post. You'll partner with business and technical teams to translate problems into MVPs, run experiments, and accelerate progress using low-code tools while

Qualifications

• Experience in a product, digital, or technical role where you have shaped and delivered solutions.
• Experience communicating product benefits appropriate for each prospect, with experience working across business and technical partners.
• Translate business problems into structured use cases and deliverable solutions.
• Comfortable working in uncertain or exploratory environments, using experimentation to guide progress.
• Curiosity for AI and automation, and an interest in how they are applied in real-world settings.

Responsibilities

• Translate business problems into clearly defined user cases with partners.
• Build and manage a pipeline of AI and automation opportunities.
• Assess feasibility, value and suitability of AI vs traditional approaches.
• Scope solutions, defining MVP, success criteria and experimentation approaches.
• Develop rapid prototypes and MVPs using low-code/no-code platforms.
• Communicate outcomes, including trade-offs, risks, and recommendations.

Skills

Product ownership

Stakeholder communication

Use case translation

Experimentation

AI & automation curiosity

Tools

Low-code platforms

Job description

Experian is seeking a proactive AI & Automation professional to shape ideas and deliver tangible outcomes. You will own opportunities from discovery through prototyping, balancing AI-led and traditional analytics when delivering value.

The role sits at the intersection of business needs, data, and technology, not a pure development post. You'll partner with business and technical teams to translate problems into MVPs, run experiments, and accelerate progress using low-code tools while