At a Glance
- Tasks: Lead the data function for an AI-native market intelligence platform.
- Company: Join a cutting-edge company transforming financial market analysis.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on impactful decision-making.
- Why this job: Shape the future of market intelligence with innovative data strategies.
- Qualifications: 7+ years in data roles and strong leadership experience required.
The predicted salary is between 80000 - 100000 € per year.
We are building an AI-native market intelligence and trading analysis platform. Our product helps users understand financial markets through live data, research workflows, portfolio context, macro indicators, news, and social intelligence. The core challenge is not simply collecting more data; it is turning fragmented market information into trusted, timely, explainable decision support.
We are hiring a Head of Data to own the data layer that powers analytics, insights, research workflows, and future institutional-grade products.
Role mission
Build and lead the data function that makes our market intelligence product accurate, defensible, fast, and differentiated. You will own the strategy and execution for sourcing, validating, structuring, monitoring, and productizing financial and alternative market data across multiple domains (market, macro, on-chain equivalents, derivatives, flows, news, and social signals).
The ideal candidate can move between data engineering, analytics, product thinking, and domain understanding. You should be comfortable asking: Is this source reliable? Is this metric fresh? What does this data actually prove? What does it fail to prove? How should an AI system reason with this data? How do we prevent hallucinated or weak conclusions?
Responsibilities
- Data strategy and architecture
- Market intelligence data coverage
- Data quality and trust
- AI system integration
- Analytics and proprietary signals
- Leadership
Required experience
- 7+ years in data engineering, analytics engineering, data science, or data platforms
- 2+ years leading data teams or owning a data function
- Strong experience building production data pipelines
- Strong SQL and Python skills
- Experience with modern data stacks (warehouses, lakehouses, orchestration, APIs, observability)
- Ability to design clean schemas and data contracts
- Strong product intuition: understanding how data drives decisions
- Comfortable in ambiguous, fast-paced environments
Strongly preferred
- Experience with financial or market data
- Experience with alternative or blockchain-style data sources
- Familiarity with derivatives, order books, or volatility data
- Experience with data providers and aggregators in financial markets
- Experience integrating data into AI/LLM or agent systems
- Exposure to macroeconomic datasets
- Experience with data licensing and commercial constraints
- Experience building confidence scoring or data quality systems
Head of Data employer: TechChain Talent
As a forward-thinking company at the forefront of AI-driven market intelligence, we offer an exceptional work environment that fosters innovation and collaboration. Our culture prioritises employee growth, providing ample opportunities for professional development and leadership within a dynamic team. Located in a vibrant area, we not only focus on building cutting-edge products but also ensure our employees enjoy a supportive atmosphere that values their contributions and encourages meaningful work.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data expertise. Whether it's a cool analysis or a unique data visualisation, we want to see how you think and work with data. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data strategy and analytics. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are discussing your experience and ideas, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Head of Data
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your enthusiasm for data shine through! We want to see how you've tackled data challenges in the past and what excites you about working with financial and alternative market data.
Tailor Your Experience:Make sure to highlight your relevant experience in data engineering, analytics, or data science. We’re looking for someone who can connect the dots between data and decision-making, so be specific about how your skills align with our needs.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to complex topics like data architecture and analytics. Use bullet points if it helps make your achievements stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at TechChain Talent
✨Know Your Data Inside Out
As a Head of Data, you’ll need to demonstrate a deep understanding of data sources and their reliability. Brush up on your knowledge of financial and alternative market data, and be ready to discuss how you would evaluate the trustworthiness of different data streams.
✨Showcase Your Leadership Skills
This role requires strong leadership capabilities. Prepare examples of how you've successfully led data teams in the past. Think about challenges you faced and how you motivated your team to overcome them. Be ready to share your vision for building a high-performing data function.
✨Demonstrate Product Thinking
You should be able to articulate how data drives decision-making in product development. Prepare to discuss specific instances where your data insights influenced product strategy or improved user experience. This will show that you can bridge the gap between data engineering and product thinking.
✨Prepare for Technical Questions
Expect to dive into technical discussions around SQL, Python, and modern data stacks. Brush up on your skills and be ready to solve problems on the spot. You might also want to think about how you would design clean schemas and data contracts, as this is crucial for the role.
