At a Glance
- Tasks: Lead AI change projects, bridging compliance and engineering teams to drive innovation.
- Company: Dynamic financial services firm in Central London with a focus on AI transformation.
- Benefits: Up to £110K salary, 20% bonus, 6% pension, and medical coverage.
- Other info: Hybrid work model with opportunities for impactful career growth.
- Why this job: Be at the forefront of AI initiatives that transform business operations and compliance.
- Qualifications: Proven track record in AI transformation and strong business analysis skills.
The predicted salary is between 110000 - 110000 £ per year.
This is a newly created founding role where you will act as the vital bridge between the Compliance/Surveillance business and the central AI engineering team. Your mission is to take an existing wish list of 20 to 25 tangible AI initiatives, design them, and build rough POCs to pitch directly to the Head of Compliance and move into production.
Key Responsibilities
- Identify & Design: Audit the compliance, assurance, and surveillance functions to map out 20+ tangible AI opportunities.
- Rapid Prototyping: Build rough, functional POCs of AI tools to prove value to stakeholders before full scale development.
- Bridge the Gap: Translate compliance issues into technical specs. Challenge requirements so the central AI team builds exactly what is needed.
- Handover & Delivery: Manage the clean transition of successful POCs to the central AI team for final production and deployment.
Ideal Candidate Profile
You don't need 10 years of AI/RPA experience. Instead, you must show a proven track record over the last 2 years of genuinely transforming a business through AI tools, blended with a core BA/PM skillset.
Must-Haves
- AI Champion: Deep understanding of current AI capabilities, large language models, or machine learning applications.
- Tech BA/PM Background: A strong pedigree in Change management, system design, and technical business analysis.
- Data Literacy: Ability to work with complex, unstructured, and fragmented data architectures.
- Regulated Environment: Financial services experience would be beneficial, however the client is open to candidates who have the core AI/Change background within a highly complex and regulated industry.
PLEASE NOTE THAT NO SPONSORSHIP IS AVAILABLE - CANDIDATES MUST BE LONDON BASED
VP Tech BA (AI Change Projects) in London employer: Harvey Nash Group
As a forward-thinking employer in the heart of Central London, we offer an exciting opportunity for the VP Tech BA (AI Change Projects) role, where innovation meets compliance. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures you will thrive in a dynamic environment that values your contributions. With competitive benefits including a generous bonus structure and pension plan, we are dedicated to fostering a workplace where you can make a meaningful impact on AI initiatives within a highly regulated industry.
StudySmarter Expert Advice🤫
We think this is how you could land VP Tech BA (AI Change Projects) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those in compliance and AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on that perfect VP Tech BA role!
✨Tip Number 2
Show off your skills with a portfolio! Create a showcase of your past AI projects and POCs. This is your chance to demonstrate how you’ve transformed businesses with AI tools. Make it visually appealing and easy to digest – think of it as your personal brand statement!
✨Tip Number 3
Prepare for interviews by anticipating questions about bridging compliance and tech. Think through scenarios where you’ve successfully translated complex requirements into actionable specs. Practise articulating your thought process clearly – it’s all about showing you can connect the dots!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent that can drive AI change projects. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s make some waves together!
We think you need these skills to ace VP Tech BA (AI Change Projects) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of VP Tech BA. Highlight your experience with AI tools and any relevant projects you've worked on. We want to see how you've transformed businesses using tech!
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. Mention specific AI initiatives you've been involved in and how you can bridge the gap between compliance and tech.
Showcase Your Data Skills:Since data literacy is key, don’t forget to mention your experience with complex data architectures. Give examples of how you've tackled unstructured data in past roles. We love seeing those skills in action!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Let’s get your journey started!
How to prepare for a job interview at Harvey Nash Group
✨Know Your AI Stuff
Make sure you brush up on the latest AI capabilities, especially large language models and machine learning applications. Be ready to discuss how you've transformed businesses using these tools in your past roles.
✨Bridge the Gap
Since this role involves acting as a bridge between compliance and tech teams, prepare examples of how you've successfully translated complex requirements into technical specs. Show them you can challenge requirements effectively!
✨Prototyping Skills Matter
Get ready to talk about your experience with rapid prototyping. Have a few examples of rough POCs you've built that proved value to stakeholders. This will demonstrate your hands-on approach and ability to deliver results quickly.
✨Data Literacy is Key
Be prepared to discuss your experience with complex data architectures. Highlight any specific projects where you’ve worked with unstructured or fragmented data, as this will show your capability to handle the challenges of the role.
