12 months (extension likely) · Start January 2027
Our client is a fast-growing, regulated online trading broker. They offer CFDs and other leveraged products to retail and professional clients through licensed entities. They’re bringing in an experienced interim Head of Data & AI for an initial 12 months to turn a solid data foundation into a real competitive advantage.
First, you’ll make trusted data easy for everyone in the business to use. Second, you’ll put AI to work in day-to-day operations. The role is roughly 60% AI and 40% data. You’ll lead a small team of analysts and work closely with Data Engineering, Compliance and the leadership team.
What you’ll deliver
- Set the AI roadmap and see it through: find the highest-value use cases, then build, roll out and measure them
- Redesign processes around AI so they produce real business results, not just new tool licences
- Build AI skills across the company through training, shared prompt and template libraries, and a network of internal champions
- Track adoption and impact, and report clearly on what’s working and what isn’t
- Own the business-facing layer of the data warehouse: metric definitions, data quality standards and the semantic model
- Help teams answer their own questions through self-service analytics
- Bring engineering discipline to analytics: testing, version control, documentation and peer review
- Simplify a data estate that grew organically, and give senior leadership proactive, commercially relevant insight
- Leave the team, processes and documentation in a state that lasts beyond the contract
What you’ll bring
- Experience leading data, analytics or AI teams, ideally including interim or transformation roles
- A track record of AI projects that changed how a business works, with impact you can measure
- Experience taking projects from idea through production to real adoption, often within fixed timeframes
- Strong hands-on SQL, data modelling and analytics engineering skills
- Experience with dbt (or a similar framework) and a cloud warehouse such as Snowflake, BigQuery, Redshift or Databricks
- A background in financial services, ideally trading, brokerage, fintech or capital markets
- The ability to explain complex topics clearly to technical and non-technical audiences
- Fluent English. German is a plus but not required.
- Availability to start in January 2027
Nice to have
- Experience with CFD, FX or online brokerage platforms and trading/back-office data
- Experience in multi-entity, multi-regulator environments (BaFin, CySEC, FCA)
- Knowledge of regulatory reporting such as MiFID II/MiFIR or EMIR
- Experience deploying AI responsibly in a regulated setting, including awareness of the EU AI Act
Who you are
You want to understand how a business makes money before you suggest fixing anything. You think strategically but care most about getting things shipped. You spot opportunities without being asked, welcome challenge and give it back constructively, and get real satisfaction from helping other people do more with data.
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