Lead Data Engineer - Healthcare Data & Audience Applications

The Lead Architect for Data & AI Platforms is responsible for designing and overseeing the architecture of data and AI platforms. This role requires deep expertise in data architecture, cloud infrastructure, and AI/ML technologies to drive scalable and innovative solutions.

Designs and implements data pipelines and architectures to support data-driven decision-making in healthcare marketing, requiring proficiency in data management and analytics.

This role leads the London data/ML function, initially as a sole hire and scaling to 5-10 people, owning the roadmap for reward/payout optimisation, real-time personalisation, and offer ranking. The hire stays hands-on with code and model reviews while building the team and technical culture from first principles. Ideal candidates have senior/staff/principal IC experience in recommendation systems, marketplaces, or other rigorous applied-ML domains.

The Data Engineer role focuses on designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and data science. This role requires expertise in SQL, Python, ETL processes, and cloud platforms to ensure reliable data flow.

The Manager, Analytics & Insights - Programmatic role leads a team of analysts to deliver programmatic advertising insights and drive performance. Requires strong leadership and analytical skills.

This senior manager role leads data analytics and revenue forecasting initiatives, building models to predict revenue trends and inform strategic decisions. The position requires strong analytical skills, experience with data visualization, and the ability to communicate insights to leadership.

This role leads AI operations application support, focusing on maintaining and optimizing AI-driven systems. It involves overseeing application operations, ensuring reliability, and coordinating with engineering teams to resolve issues.