Data warehouse engineer Work, Jobs in Remote (with Salaries)

Head of Data and AI - UK Based
StarCompliance —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
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Head of Data and AI - UK Based

StarCompliance -
Remote

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Job details

Full-time

Qualifications

Data development experience
Azure
Cloud architecture
Law
Stakeholder collaboration
Data architecture experience
Master's degree
Microservices
ETL data integration
Machine learning
Machine learning modelling
Technology leadership experience
Data pipeline
Multidisciplinary collaboration
A/B testing
Technical roadmaps
AI
Leadership
Microsoft Azure
Data warehouse

Full job description

About StarCompliance

StarCompliance is a market-leading provider of employee compliance technology, trusted by 350+ global financial institutions and highly regulated organisations to manage regulatory obligations, monitor employee activity, and mitigate risk. Backed by private equity, we are investing in the next generation of our cloud-native, AI-enabled SaaS platform — and this role will shape the AI and data future of that platform.

Role:

We need a hands-on technical leader to own our data and AI strategy and execute it — building a high-performing Data & AI function that ships production-grade AI capabilities at scale in a heavily regulated environment.

You will partner closely with Product, Engineering, Architecture, Security, and the executive team. You will work together with the Product Director, AI & Data Products as a joint technology-and-product leadership pairing, co-owning the AI roadmap, prioritisation, and delivery outcomes.

Responsibilities:

AI Product Delivery & Strategy

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 these deliver measurable customer value.

Data Platform & Engineering

Own the data foundation strategy, ensuring clean, trusted, well-governed data underpins every AI initiative.

Build robust MLOps capabilities, including model training pipelines, versioning, monitoring, A/B experimentation, and drift detection.

Internal AI Enablement

Champion pragmatic AI adoption within engineering and product development, accelerating how we build, not just what we build.

Leadership & Team Building

Build, mentor, and scale a high-performing Data & AI organisation across data engineering, data science, ML engineering and analytics.

Cross-Functional & Executive Collaboration

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, co-owning the AI roadmap, prioritisation, and delivery outcomes.

Skills and Experience:

AI & Machine Learning

Proven delivery of production-grade AI and ML systems at scale, not just experimentation.

Deep experience with generative AI and LLM-based application architectures (fine-tuning, prompt engineering, RAG, agentic frameworks).

Strong knowledge of vector databases and semantic search (e.g. Pinecone, Weaviate, pgvector, Azure AI Search).

Data Engineering & Platforms

Deep background in modern data engineering, ELT/ETL patterns, and large-scale data pipeline architectures.

Hands-on experience with Snowflake (or equivalent cloud data warehouse) and associated data modelling patterns.

Strong Azure ecosystem experience: Azure Data Factory, Azure Synapse, Azure OpenAI Service, and Azure Machine Learning.

Software Engineering & Architecture

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 equivalent hyperscaler).

Ability to make sound build vs buy vs integrate decisions across the AI and data tooling landscape.

Leadership & Business

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 — the ability to connect technical investment to customer value and business outcomes.

Integrity and Ethics

All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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