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Remote role · head-of-

Head of Data Science and AI EAST COAST

StarCompliance

remote,East CoastDataFull-time
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 80% confidence

Head of Data Science and AI at StarCompliance. The role involves owning the data and AI strategy for a cloud-native SaaS platform. Candidates are required to be based on the East Coast and have experience in regulated financial environments.

Remote scope
East Coast

What you need

  • Proven delivery of production-grade AI and ML systems at scale
  • Deep experience with generative AI and LLM-based application architectures
  • Experience building and leading high-performing Data / AI engineering teams
  • Financial services or regtech domain experience

What you will own

  • Own end-to-end technical strategy and execution roadmap for AI-enabled product capabilities
  • Drive adoption of generative AI, LLM-based architectures, and predictive analytics
  • Build robust MLOps capabilities including model training pipelines and monitoring
  • Lead and scale the Data & AI organization across engineering, data science, and analytics
  • Partner with executive team and Product Director to align AI initiatives with company strategy
Core skills
AI/ML StrategyGenerative AILLM ArchitecturesMLOpsAzureData EngineeringTeam LeadershipFinancial Services Compliance
Internal freshness window ends Oct 21, 2026
View source evidence
  • applicant_location_requirements “Are you based on the East Coast and a hands on technical Data Science AI Leader?”
  • must_have “Proven delivery of production-grade AI and ML systems at scale”
  • location “Job location: remote,East Coast”
  • remote_scope “Job location: remote,East Coast”
ai/ml strategygenerative aillm architecturesmlops
Role brief

About StarCompliance 

Are you based on the East Coast and a hands on technical Data Science AI Leader?

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.