Head of Data, AI

Trade Nation

. Own and drive Trade Nation's AI strategy from opportunity identification through to deployment, adoption and value realisation.

Posted 10/9/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI strategy development, data modeling, and analytics engineering, with a strong focus on delivering measurable business impact and empowering teams through data self-service. Proven leadership in managing analytics teams and implementing AI solutions within regulated financial services environments.

Highest-signal resume keywords

AI Strategy DevelopmentSQL ExpertiseData Warehouse ArchitectureAnalytics EngineeringStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModellingAnalytics EngineeringAI Solutions ImplementationVersion ControlSemantic ModellingData Transformation FrameworksCloud Data PlatformsRegulatory ReportingData Quality Standards

Soft Skills

LeadershipCommunicationStakeholder ManagementStrategic ThinkingProactive Change Management

Tools & Technologies

DbtRedshiftSnowflakeBigQueryCFD PlatformsSpread Betting PlatformsBrokerage Platforms

Industry Keywords

Financial ServicesTradingBrokerageCapital MarketsMiFID IIMiFIRASIC RequirementsMulti-Entity EnvironmentsRegulated EnvironmentsData Estate Management

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudSQL

About the role

Key responsibilities & impact

Own and drive Trade Nation'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.
Report to the Chief Operating Officer and lead a team of Data Analysts while partnering with Data Engineering, Compliance and senior business stakeholders.

Requirements

What you’ll need

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.
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.
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

Comp & perks

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.