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- Tasks: Lead the AI strategy and architecture for a major financial institution.
- Company: Join a leading global financial services organisation with a strong focus on AI innovation.
- Benefits: Competitive salary up to £107,000, hybrid work model, and significant career growth opportunities.
- Other info: Be part of a flagship transformation programme with executive sponsorship.
- Why this job: Shape the future of AI at enterprise scale in a high-priority programme.
- Qualifications: Proven experience as an Enterprise Architect in regulated environments with AI/ML expertise.
The predicted salary is between 107000 - 107000 £ per year.
Global Financial Services Organisation - Enterprise AI Programme
Manchester - Hybrid (2 days per week on site)
Up to £107,000 (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 Manchester employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enterprise Architect in Manchester
✨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 and even referrals.
✨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 that might come up, so you can showcase your expertise confidently.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in the opportunity with us.
We think you need these skills to ace AI Enterprise Architect in Manchester
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 environments.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background aligns with our needs. Be sure to mention your experience with governance frameworks and your ability to operate at a VP level.
Showcase Your Strategic Thinking: In your application, demonstrate your strategic mindset. We want to see how you can define direction and enable delivery in an ambiguous environment. Share examples of how you've successfully navigated similar challenges in the past.
Apply Through Our Website: Don't forget to apply directly through our website! This ensures your application gets to the right people quickly. Plus, it shows us you're serious about joining our team and shaping AI strategy at scale.
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 environments, 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 influence senior decision-makers. Prepare anecdotes that highlight your leadership style, particularly in guiding engineering teams and collaborating with cross-functional stakeholders like Data, Risk, and Compliance.
✨Embrace Ambiguity with Confidence
This role requires comfort in navigating ambiguity. Be ready to discuss how you approach uncertain situations and provide structure. Share specific instances where you’ve turned ambiguity into clarity, showcasing your problem-solving skills and strategic thinking.