At a Glance
- Tasks: Lead AI strategy and implementation across enterprises, ensuring responsible governance.
- Company: Dynamic investment firms and fintechs seeking innovative leaders in AI.
- Benefits: Permanent role with competitive salary and opportunities for professional growth.
- Other info: Connect with industry leaders and explore evolving market trends.
- Why this job: Shape the future of AI in financial services and drive impactful change.
- Qualifications: Experience in AI strategy, governance, and team leadership required.
The predicted salary is between 100000 - 150000 € per year.
Location: England
Contract Type: Permanent
We’re currently speaking with a number of investment firms, financial services, fintechs and technology companies about senior AI & Data capability & AI risk leadership hires, and I’m keen to connect with individuals operating in this space or looking to step into their next leadership role.
Across the organisations we work with, there is growing demand for senior leaders who can sit at the intersection or take lead on implementation of AI strategy, enterprise transformation and responsible AI risk governance. Many firms are now moving beyond AI experimentation and into larger-scale deployment, which is creating a new generation of leadership mandates focused on building AI capability across the enterprise.
Typical roles we’re discussing with clients include:
- Head of AI / Director of AI Strategy
The insights requests and conversations with clients centre on:
- Defining enterprise AI strategy and operating models – “What are we doing with it and How!”
- Scaling AI and machine learning platforms – “Make AI work!”
- Leading generative AI adoption and product development
- Ensuring robust governance, regulatory alignment and responsible AI frameworks
- Partnering with executive leadership on long‑term AI investment and capability building
We’re particularly interested in connecting with leaders who bring experience across areas such as:
- Enterprise AI and machine learning strategy
- AI platform engineering and infrastructure
- AI governance, risk and regulatory frameworks
- Financial services AI use cases (fraud, risk, trading, automation)
- Generative AI and LLM deployment within large organisations
- Building and scaling high‑performing AI teams
If you are currently leading AI initiatives, building AI platforms, or working on responsible AI and governance frameworks, I would be very interested to connect and exchange perspectives on how the market is evolving. Equally, if you’re considering your next leadership move in this space over the next 12–18 months, feel free to reach out for a confidential conversation.
Head of Data & AI – Enterprise Capability & Risk in London employer: Talensa
As a leading player in the financial services and technology sectors, our company offers an exceptional work environment that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with ample opportunities to lead transformative AI initiatives while ensuring responsible governance. Located in England, we pride ourselves on a dynamic culture that values diversity and encourages creative problem-solving, making it an ideal place for those looking to make a meaningful impact in the world of AI and data.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & AI – Enterprise Capability & Risk in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space, attend industry events, and engage in online forums. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your projects, achievements, and insights in AI strategy and governance. This will make you stand out when potential employers are looking for leaders in this field.
✨Tip Number 3
Be proactive! Don’t just wait for job openings to pop up. Reach out directly to companies you admire and express your interest in contributing to their AI initiatives. A well-timed email can open doors you didn’t even know existed.
✨Tip Number 4
Keep learning and adapting! The AI landscape is always changing, so stay updated on the latest trends and technologies. Consider taking courses or attending workshops to enhance your skills, making you an even more attractive candidate.
We think you need these skills to ace Head of Data & AI – Enterprise Capability & Risk in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Data & AI. Highlight your experience in AI strategy, governance, and team building. We want to see how your background aligns with the demands of leading AI initiatives.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data leadership. Share specific examples of your achievements in scaling AI platforms or implementing responsible AI frameworks that resonate with us.
Showcase Your Leadership Style:In your application, let us know how you lead teams and drive enterprise transformation. We’re looking for leaders who can inspire and build high-performing AI teams, so share your approach to leadership and collaboration.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Talensa
✨Know Your AI Stuff
Make sure you’re up to speed with the latest trends in AI and data strategy. Brush up on your knowledge of generative AI, machine learning platforms, and responsible AI governance. Being able to discuss these topics confidently will show that you’re not just familiar with the field but are also a thought leader.
✨Showcase Your Leadership Experience
Prepare specific examples of how you've led AI initiatives or built high-performing teams in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you demonstrate your capability in driving enterprise transformation and scaling AI solutions effectively.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces regarding AI implementation. Be ready to discuss how your experience aligns with the needs of investment firms and fintechs, particularly in areas like risk management and regulatory compliance.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company’s AI strategy. Inquire about their current AI projects, governance frameworks, and how they envision the future of AI within their organisation. This shows your genuine interest and strategic thinking.
