La Fosse
Enterprise Architect – Data & AI
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Enterprise Architect – Data & AI
Location: Hybrid (South West UK)
Contract: Inside IR35
The Opportunity
We are partnering with a large, complex organisation undergoing significant business and technology transformation to appoint an experienced Enterprise Architect – Data & AI.
This is a strategic leadership position focused on defining and driving the organisation's Data & AI vision, architecture, and roadmap. The successful candidate will operate at an enterprise level, working closely with senior stakeholders to ensure data and AI capabilities enable business objectives while supporting the modernisation of legacy technology estates.
The role requires a strong balance of strategic thinking and practical delivery experience, with the ability to influence stakeholders across both business and technology functions.
Key Responsibilities
- Define and own the enterprise-wide Data & AI architecture strategy.
- Develop target-state architecture blueprints, roadmaps, and transformation plans.
- Provide architectural leadership across major business and technology change initiatives.
- Drive the transition from legacy platforms to modern, cloud-based data ecosystems.
- Establish architectural principles, standards, and governance frameworks.
- Ensure alignment between business priorities, technology investments, and data capabilities.
- Collaborate with senior stakeholders across internal teams and external partners.
- Support programmes from strategy and design through to successful delivery.
- Champion best practice across data management, analytics, and AI capabilities.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Technical Environment
Experience across several of the following areas is highly desirable:
- Microsoft Azure
- Databricks
- Data Mesh Architecture
- Medallion Architecture
- Enterprise Data Platforms
- AI & Machine Learning Strategy
- SAP landscapes and integration
- Cloud-based data engineering and analytics platforms
- Enterprise Architecture frameworks and governance
About You
- Extensive experience operating as an Enterprise Architect within Data, Analytics, or AI environments.
- Proven track record of shaping and delivering enterprise-scale transformation programmes.
- Experience working within large, highly regulated organisations.
- Background in sectors such as Financial Services, Banking, Retail, Utilities, or other complex regulated environments.
- Strong understanding of modern data architecture patterns and cloud technologies.
- Ability to translate business strategy into actionable architecture roadmaps.
- Comfortable operating across both strategic and delivery-focused initiatives.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Stakeholder Management
The successful candidate will be able to:
- Engage confidently with Senior Directors, Executive stakeholders, and technology leaders.
- Influence decisions across both business and technical audiences.
- Simplify complex technical concepts for non-technical stakeholders.
- Build strong relationships internally and externally.
- Navigate large-scale organisational change with credibility and confidence.
Key Attributes
- Strategic thinker with strong commercial awareness.
- Excellent communication and presentation skills.
- Collaborative and pragmatic approach.
- Comfortable challenging and influencing senior stakeholders.
- Strong leadership and relationship-building capabilities.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location