At a Glance
- Tasks: Lead the design of AI & Data architectures for financial services clients.
- Company: Dynamic financial services firm focused on innovation and transformation.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Collaborate with CxOs and drive large-scale transformations.
- Why this job: Shape the future of AI and data in a highly regulated industry.
- Qualifications: 15+ years in enterprise architecture with strong expertise in AI and data.
The predicted salary is between 80000 - 100000 € per year.
Location: Swindon
Job Type: Permanent
Mode of Working: Office Based
Role Overview
We are seeking an experienced Enterprise Architect – AI & Data to lead the definition and execution of enterprise‑scale data and AI architectures for financial services clients. You will provide strategic guardrails, independent challenge, and outcome‑led guidance across large‑scale, regulated transformations, acting as a trusted advisor to CxOs. Working closely with client technology leadership, business stakeholders, delivery teams, and partners, you will drive transformation across data platforms, advanced analytics, machine learning, and AI‑enabled services.
Key Responsibilities
- Define and own the enterprise AI & Data architecture vision and roadmap, aligned to business strategy and regulatory obligations.
- Design scalable, secure, and resilient data platforms across cloud, hybrid, and on‑premise environments.
- Lead architecture for advanced analytics, machine learning, Generative AI, and MLOps, ensuring production‑grade robustness and reliability.
- Establish AI governance, data management, and responsible AI frameworks, covering security, privacy, explainability, and model risk controls.
- Translate business outcomes into clear architecture patterns, reference architectures, and enterprise standards.
- Advise senior client stakeholders (CIO, CDO, CRO, Heads of Data/AI) on AI & Data transformation decisions and trade‑offs.
- Evaluate and recommend platforms, tools, and technologies across data engineering, AI, analytics, and integration layers.
- Produce and maintain high‑quality architecture artefacts, including target‑state designs, transition roadmaps, and solution blueprints.
- Support large‑scale transformation initiatives such as platform modernisation, cloud migration, and enterprise AI adoption programmes.
Essential Experience & Skills
- Proven experience as an Enterprise or Lead Architect on AI & Data programmes, preferably within banking or financial services (BFSI).
- Strong expertise in data architecture, including data lakes, lakehouse, data warehouses, streaming, metadata management, and data governance.
- Hands‑on experience designing AI/ML/GenAI architectures, including model lifecycle management and MLOps practices.
- Experience designing solutions on major cloud platforms (AWS, Azure, or GCP), leveraging native data and AI services.
- Solid understanding of security, privacy, regulatory, and risk considerations relevant to BFSI (data protection, model risk, auditability, and compliance).
- Strong knowledge of SDLC, agile delivery models, and architectural governance frameworks.
- Excellent analytical, problem‑solving, and decision‑making skills.
- Exceptional communication and stakeholder management skills with the ability to engage credibly at executive (CxO) level.
- 15+ years in enterprise architecture, data, and AI leadership roles.
- Extensive BFSI transformation experience across large, complex programmes.
- Proven CxO advisory capability and experience influencing at the highest levels.
- Deep expertise in enterprise architecture, data products/platforms, and AI/GenAI solutions in highly regulated environments.
- Experience working with global, multi‑vendor delivery teams.
- Industry certifications in cloud, data, or architecture (e.g., TOGAF, AWS/Azure/GCP Architect, CDMP, or equivalent).
Enterprise Architect in Swindon employer: Intelstack
As an Enterprise Architect at our Swindon office, you will join a dynamic and innovative team dedicated to driving transformation in the financial services sector. We pride ourselves on fostering a collaborative work culture that values continuous learning and professional growth, offering extensive training and development opportunities to help you excel in your career. With a focus on cutting-edge AI and data solutions, you'll have the chance to make a meaningful impact while enjoying a supportive environment that prioritises employee well-being and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Architect in Swindon
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI and data. The more people you know, the better your chances of landing that Enterprise Architect role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your past projects, especially those involving AI and data architecture. This will give potential employers a clear picture of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on how you've tackled challenges in previous roles, particularly in BFSI transformations. Remember, confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing the job. We love seeing candidates who are proactive and engaged with our company!
We think you need these skills to ace Enterprise Architect in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Enterprise Architect role. Highlight your experience with AI and data architectures, especially in financial services. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical expertise! Mention your hands-on experience with cloud platforms and AI/ML architectures. We love seeing candidates who can demonstrate their knowledge in these areas.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Intelstack
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and data architecture, especially in the context of financial services. Be ready to discuss specific projects you've worked on, particularly those involving data lakes, MLOps, or cloud platforms like AWS or Azure.
✨Speak Their Language
Familiarise yourself with the key terms and concepts mentioned in the job description. Use phrases like 'enterprise AI & Data architecture vision' and 'data governance frameworks' during the interview to show you understand their needs and can communicate effectively with CxOs.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading large-scale transformations and advising senior stakeholders. Think about how you’ve influenced decisions at the executive level and be ready to share these stories to demonstrate your capability.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s current challenges and future direction. Inquire about their existing data platforms or how they envision the role of AI evolving in their organisation. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
