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Head of Data & AI - UK Based

1 month, 1 week ago
United Kingdom
Full-time
Executive
AI (Artificial Intelligence)
Data Science and Analytics
Azure Generative AI LLM Microservices MLOps Snowflake
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StarCompliance

StarCompliance

StarCompliance is a leading provider of compliance and regulatory software for the financial services industry. They offer solutions that help businesses monitor conflicts, meet regulatory obligations, reduce risk, and comply with confidence. Their pro...

Capital Markets
251-1K
Founded 1999
View All Jobs 5

Description

  • Own the end-to-end technical strategy and execution roadmap for AI-enabled product capabilities across the StarCompliance platform.
  • Drive adoption of generative AI, LLM-based architectures, predictive analytics, graph intelligence, recommendation systems, and semantic search where they create customer value.
  • Own the data foundation strategy to ensure clean, trusted, and well-governed data supports AI initiatives.
  • Build robust MLOps capabilities, including model training pipelines, versioning, monitoring, A/B experimentation, and drift detection.
  • Champion pragmatic AI adoption within engineering and product development to improve how the team builds products.
  • Build, mentor, and scale a high-performing Data & AI organization across data engineering, data science, ML engineering, and analytics.
  • Work closely with the CTO and executive team to align AI and data initiatives with company strategy and commercial priorities.
  • Partner with the Product Director, AI & Data Products to co-own the AI roadmap, prioritisation, and delivery outcomes.

Requirements

  • Proven delivery of production-grade AI and ML systems at scale, not just experimentation.
  • Deep experience with generative AI and LLM-based application architectures, including fine-tuning, prompt engineering, RAG, and agentic frameworks.
  • Strong knowledge of vector databases and semantic search, including Pinecone, Weaviate, pgvector, or Azure AI Search.
  • Deep background in modern data engineering, ELT/ETL patterns, and large-scale data pipeline architectures.
  • Hands-on experience with Snowflake or an equivalent cloud data warehouse and related data modelling patterns.
  • Strong Azure ecosystem experience, including Azure Data Factory, Azure Synapse, Azure OpenAI Service, and Azure Machine Learning.
  • Strong software engineering fundamentals and the credibility to engage at technical depth with senior engineers.
  • Experience with cloud-native, microservices, and event-driven architectures on Azure or an equivalent hyperscaler.
  • Ability to make sound build-vs-buy-vs-integrate decisions across AI and data tooling.
  • Proven experience building and leading high-performing Data / AI engineering teams.
  • Experience within financial services, regtech, compliance, surveillance, or similarly regulated domains.
  • Strong commercial instincts and the ability to connect technical investment to customer value and business outcomes.
  • Commitment to high standards of personal integrity and ethical conduct.

Interested in this position?

Apply directly on the company website

Apply Now

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