Head of Data & AI
Company shown to members 🔒 · Remote · UK, Germany, France +1 only
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First recorded by Psst: 16 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- UK, Germany, France +1 only
- Skills and tools
- sql, stakeholder management, documentation, compliance
- Job type
- Full-time
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Job details
- Where you can work
- United Kingdom, Germany, France, Poland
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 8 October 2026
- First recorded by Psst
- 16 October 2026
- Last checked at the source
- 6 November 2026
About the job
The company is seeking an experienced and forward-thinking Head of Data & AI to lead our data and artificial intelligence strategy across the organisation. Reporting to the Chief Operating Officer, this role combines two interconnected mandates: enabling self-service access to data across the business and embedding AI into everyday operations.
As a multi-jurisdictional CFD and spread betting broker with regulated entities across the UK, Australia, the EU, the Bahamas and Seychelles, we are looking for a leader who can build on our existing data foundations, scale successful initiatives, simplify organically grown processes and drive measurable business impact through AI.
The role is weighted approximately 60% towards AI and 40% towards Data , leading a team of Data Analysts while partnering closely with Data Engineering, Compliance and senior business stakeholders.
Key Responsibilities
- Own and drive the company's AI strategy from opportunity identification through to deployment, adoption and value realisation
- Redesign business workflows around AI, focusing on practical outcomes rather than tool adoption.
- Build AI capability through training, prompt libraries, templates and a network of AI champions.
- Measure and report AI adoption, success metrics and lessons learned.
- Own the business-facing gold layer of the data warehouse, including metrics, definitions and quality standards.
- Develop and extend the semantic data model to ensure consistent, trusted access to business data.
- Champion data self-service, empowering teams to answer their own questions efficiently.
- Establish and maintain best practices for analytics engineering, including testing, version control, documentation and code reviews.
- Simplify and improve the quality of the data estate.
- Deliver proactive insights and recommendations to senior leadership.
Requirements
Essential Experience
- Proven leadership experience within Data, Analytics or AI functions.
- Demonstrable success implementing AI solutions that have transformed business workflows and delivered measurable impact.
- Strong track record of delivering projects from concept through to production and adoption.
- Hands-on expertise in SQL, data modelling and analytics engineering.
- Experience with dbt or similar version-controlled transformation frameworks.
- Strong understanding of data warehouse architecture and semantic modelling.
- Experience working with Redshift, Snowflake, BigQuery or similar cloud data platforms.
- Background in financial services, trading, brokerage or capital markets.
- Experience leading, coaching and developing analytics teams.
- Excellent stakeholder management and communication skills with both technical and non-technical audiences.
Desirable Experience
- Experience with CFD, spread betting or brokerage platforms.
- Knowledge of trading systems and back-office financial services data structures.
- Experience in multi-entity, multi-regulator environments.
- Exposure to regulatory reporting frameworks such as MiFID II, MiFIR or ASIC requirements.
- Experience implementing AI solutions within regulated financial services environments.
Personal Attributes
- Curious about how businesses operate and eager to understand commercial processes before recommending solutions.
- Strategic thinker with a practical, delivery-focused mindset.
- Self-starter who proactively identifies opportunities and drives change.
- Comfortable challenging the status quo and being challenged in return.
- Passionate about enabling others through data and technology.
Benefits
- Competitive salary, and discretionary annual bonus.
- Private healthcare.
- Active Lifestyle allowance.
- Annual leave above minimum entitlement.
- Up to 3 weeks allowance to work in any location.
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