Head of Data & AI

About Star Compliance Star Compliance is a leading provider of employee compliance technology, trusted by more

Star Compliance is a leading provider of employee compliance technology, trusted by more 350 global financial institutions and highly regulated organisations. Its cloud-native SaaS platform helps organisations manage regulatory obligations, monitor employee activity, identify potential conflicts of interest and mitigate risk.

Star Compliance is investing in the next generation of its AI-enabled platform. This role will play a pivotal part in building the data foundations, AI capabilities and engineering practices that enable smarter, more predictive compliance solutions.

The Role

We are looking for a hands-on technical leader who has personally built modern data platforms and production AI solutions, and can lead a team that delivers high-quality software at significantly greater speed through AI-accelerated engineering.

This is not a purely strategic leadership position. You will remain technically involved, writing and reviewing code, shaping architecture, building proofs of concept and making key technical decisions. You will lead the development of a robust data platform, deliver production-grade Generative AI capabilities, and provide technical direction for traditional machine learning initiatives, including risk scoring and predicting decisions from historical patterns.

You will also be responsible for transforming how the team works by embedding AI across the software delivery lifecycle, from requirements and coding through to testing, code review, documentation and operations. Success will be measured not simply by AI tool adoption, but by demonstrable improvements in engineering productivity, delivery speed and quality.

Working closely with the CTO, Product Director, Engineering, Architecture and Security teams, you will help define and deliver Star Compliance’s technical data and AI roadmap while building a high-performing team.

• Personally design and build the data platform that underpins Star Compliance’s AI and analytics capabilities, covering data ingestion, transformation, storage, warehousing or lake architecture, and data modelling.
• Establish reliable, scalable and well-governed data pipelines that make high-quality data accessible for AI and machine learning applications.
• Define data architecture and engineering standards, ensuring data quality, lineage, security and governance are embedded from the outset.
• Develop and maintain the foundations required to train, deploy, monitor and improve models in production.
• Make hands-on technical contributions rather than operating solely through delegation or programme oversight.

Production Generative AI

• Personally build and deploy Generative AI capabilities into production, including LLM-powered applications, retrieval-augmented generation (RAG), AI agents and other relevant AI product features.
• Establish robust evaluation frameworks to measure the accuracy, relevance, reliability and safety of AI outputs.
• Define how AI solutions are tested, monitored and improved, including the management of hallucinations, latency, cost and production performance.
• Evaluate emerging AI technologies and make informed decisions about when to build, buy or integrate solutions.
• Ensure AI capabilities deliver measurable customer and business value while meeting the security, privacy and governance requirements of a regulated environment.

Traditional Machine Learning

• Provide technical direction for supervised machine learning initiatives, particularly risk scoring, classification and predicting decisions based on historical patterns.
• Lead data scientists in selecting appropriate modelling approaches and evaluating their suitability for…