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- Tasks: Lead AI architecture strategy and governance for a major financial institution.
- Company: Leading global financial services organisation with a focus on AI innovation.
- Benefits: Competitive salary up to ÂŁ107,000, hybrid work model, and executive sponsorship.
- Other info: Opportunity for significant impact and career growth in a flagship transformation programme.
- Why this job: Shape the future of AI at enterprise scale in a high-priority programme.
- Qualifications: Experience as an Enterprise Architect in regulated environments and strong AI/ML background.
The predicted salary is between 107000 - 107000 ÂŁ per year.
Global Financial Services Organisation - Enterprise AI Programme
Manchester – Hybrid (2 days per week on site)
Up to ÂŁ107,000 (dependant on experience)
Harvey Nash is proud to be partnered with a leading financial institution who is investing heavily in an enterprise‑wide AI Accelerator programme and is seeking a VP‑level Enterprise AI Architect to provide technical leadership, clarity and direction at a critical stage.
You will provide overall strategic architecture leadership for AI, operating at enterprise scale within a high‑profile, well‑funded programme under senior executive scrutiny. This is a strategy‑led role (c.70/30), focused on defining direction, enabling delivery and ensuring governance rather than hands‑on build. You will operate comfortably in ambiguity, bringing structure, confidence and challenge where the AI agenda is still forming.
Key Responsibilities- Define and govern the target enterprise AI and data architecture and transition roadmap
- Provide senior technical leadership across AI/ML platforms, GenAI capabilities, data and cloud infrastructure
- Establish and enforce AI architecture and governance frameworks aligned to risk and regulation
- Guide engineering teams and challenge third‑party vendors on scalable, compliant AI solutions
- Act as a senior interface across Engineering, Data, Risk, Compliance and Executive stakeholders
- Provide clear updates, guidance and decision support to senior leadership forums
- Proven Enterprise / Chief / Lead Architect experience in large‑scale or regulated environments
- Strong background in AI/ML architecture, platforms and enterprise data foundations
- Experience applying EA frameworks to AI‑led transformation programmes
- Broad cloud and hybrid architecture experience (AWS, Azure, private cloud)
- Credibility and gravitas to operate at VP level and influence senior decision‑makers
- One of the organisation’s highest‑priority technology programmes
- Significant funding, autonomy and executive sponsorship
- Rare chance to set AI direction at enterprise scale
If you are a senior enterprise architect looking to shape AI strategy at scale and operate at the heart of a flagship transformation programme, we’d welcome a confidential conversation.
Please apply directly online, and if your application is successful, one of the team will be in touch for a confidential conversation.
AI Enterprise Architect in Bolton employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enterprise Architect in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI or financial services. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI architecture and governance frameworks. We recommend practising common interview questions and scenarios related to enterprise-level decision-making to showcase your expertise.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to the exciting AI initiatives we have going on.
We think you need these skills to ace AI Enterprise Architect in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in AI/ML architecture and enterprise data foundations, as these are key for us. Use specific examples that showcase your leadership in large-scale or regulated environments.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our enterprise AI programme. Be sure to mention your strategic approach and how you’ve successfully navigated ambiguity in past roles.
Showcase Your Leadership Skills: We’re looking for someone who can influence senior decision-makers. In your application, emphasise your experience in providing technical leadership and governance frameworks. This will help us see your fit for the VP-level role.
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Harvey Nash
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the latest AI/ML architecture trends and frameworks. Brush up on your knowledge of enterprise data foundations and how they apply to large-scale transformations, as this will be crucial for demonstrating your expertise during the interview.
✨Prepare for Strategic Discussions
Since this role is heavily strategy-focused, be ready to discuss how you would define and govern an enterprise AI architecture. Think about examples from your past experience where you’ve successfully led similar initiatives and be prepared to share those insights.
✨Showcase Your Leadership Skills
You’ll need to demonstrate your ability to lead and influence at a VP level. Prepare to talk about how you’ve guided engineering teams and collaborated with senior stakeholders in previous roles. Highlight your experience in managing ambiguity and providing clarity in complex situations.
✨Understand the Regulatory Landscape
Familiarise yourself with the risk and compliance aspects of AI solutions, especially in regulated environments. Be ready to discuss how you would establish governance frameworks that align with regulations, as this will show your understanding of the broader implications of AI architecture.