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 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. With a strong focus on employee growth, we provide ample opportunities for professional development and leadership advancement, particularly in the rapidly evolving fields of AI and data strategy. Located in England, our dynamic culture encourages creativity and responsible governance, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & AI – Enterprise Capability & Risk
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Show off your expertise! Create content on platforms like LinkedIn to share your insights on AI strategy and governance. This not only showcases your knowledge but also gets you noticed by potential employers looking for leaders in the field.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to the hiring manager or someone in the company. A personal touch can make all the difference and shows your genuine interest in the position.
✨Tip Number 4
Keep learning and adapting! The AI landscape is always changing, so stay updated on the latest trends and technologies. Consider taking online courses or certifications to boost your skills and make you an even more attractive candidate.
We think you need these skills to ace Head of Data & AI – Enterprise Capability & Risk
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 skills align with the demands of the position!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your journey in AI and data leadership. Share specific examples of how you've driven enterprise transformation or scaled AI initiatives in previous roles.
Showcase Relevant Experience:When detailing your experience, focus on your achievements in AI governance and risk management. We’re keen to see how you’ve navigated regulatory frameworks and built responsible AI practices in your past roles.
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. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Talensa
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and data strategy. Be ready to discuss how you've implemented AI solutions in previous roles, especially in financial services. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Leadership Experience
Prepare examples of how you've led teams or projects in AI and data initiatives. Highlight your ability to build high-performing teams and drive enterprise transformation. This is crucial for a leadership role, so make it count!
✨Understand Governance and Risk
Familiarise yourself with AI governance frameworks and regulatory requirements. Be prepared to discuss how you've ensured compliance and responsible AI practices in your past roles. This will demonstrate your capability to manage risk effectively.
✨Engage with Executive Mindset
Think about how you can partner with executive leadership to align AI strategies with long-term business goals. Prepare to discuss your vision for AI investment and capability building, as this will resonate well with decision-makers.
