AI Strategy Architect for Financial Services

AI Strategy Architect for Financial Services

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Women in Data®

At a Glance

  • Tasks: Shape AI and data strategies for global financial institutions and lead executive workshops.
  • Company: Capco, a leader in financial services consulting with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and make a significant impact in the financial industry.
  • Why this job: Drive AI-driven strategies that give clients a competitive edge in the financial sector.
  • Qualifications: Experience in AI strategy and strong consulting skills required.

The predicted salary is between 80000 - 100000 £ per year.

Capco is seeking a Senior or Principal Consultant to shape enterprise AI and data strategies for global financial institutions.

This hybrid London role focuses on high-impact, strategic advising beyond tooling, guiding clients toward AI-driven competitive advantage.

You’ll lead executive workshops, define data and AI strategies, craft compelling business cases, and collaborate with cross-functional teams to deliver actionable recommendations and market-leading propositions.

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AI Strategy Architect for Financial Services employer: Women in Data®

Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.

Women in Data®

Contact Details:

Women in Data® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Strategy Architect for Financial Services

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Women in Data®!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace AI Strategy Architect for Financial Services

AI Strategy Development
Data Strategy Formulation
Business Case Creation
Executive Workshop Facilitation
Cross-Functional Collaboration
Strategic Advising
Competitive Analysis

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Women in Data®, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Women in Data®

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Women in Data®’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.