Define and execute the global vision and roadmap for analytics engineering, in particular evolving our data strategy to be AI first
Lead a high-performing organisation, managing globally to foster a culture of technical excellence, delivery, and continuous growth
Partner closely with senior stakeholders across Product, Engineering, and the Business to ensure analytics is embedded in every decision
Drive 'Data as a Product', owning the evolution of our data models and semantic layer, ensuring teams can reliably self-serve from high-quality data products
Champion governance and guardrails, establishing rigorous standards for modelling, semantics, testing, and auditability to ensure our data products are trusted and reliable.
Maintain technical depth, staying hands-on enough to review SQL/data models, guide architectural decisions, and troubleshoot high-priority incidents when needed.

Significant experience leading large, global analytics or data engineering organisations within complex, high-growth environments
Proven ability to define and execute long-term technical strategies across BI, data modelling, reporting, and the intersection of analytics and AI.
Deep technical credibility, with a strong command of SQL and experience with modern data architectures and technologies.
Exceptional stakeholder management skills, with the ability to influence at the executive level and navigate organisational ambiguity with confidence.
A 'metrics-first' mindset, with a focus on ensuring technical execution translates into measurable business impact.
A strong bias for action, with the ability to move quickly, deliver impact, and iterate based on feedback.

Competitive salary and equity options, so you’re rewarded for the impact you make.
A culture built for builders: High standards, collaboration, flexible working and continuous learning.

Analytics Engineering Director

Key skills