Head of Data Science and AI
New
S
StarComplianceCompliance Technology
East CoastFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- Machine LearningSnowflakeAzureData engineeringData scienceLLMMLOpsGenerative AI
Requirements
- Proven delivery of production-grade AI and ML systems at scale.
- 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).
- Deep background in modern data engineering, ELT/ETL patterns, and large-scale data pipeline architectures.
- Hands-on experience with Snowflake or equivalent cloud data warehouses.
- Strong Azure ecosystem experience (Azure Data Factory, Synapse, Azure OpenAI Service, Azure Machine Learning).
- Strong software engineering fundamentals with experience in cloud-native, microservices, and event-driven architectures.
- Proven experience building and leading high-performing Data/AI engineering teams.
- Experience within financial services, regtech, compliance, surveillance, or similarly regulated domains.
Responsibilities
- Own the end-to-end technical strategy and execution roadmap for AI-enabled product capabilities.
- Drive adoption of generative AI, LLM-based architectures, predictive analytics, and semantic search.
- Manage the data foundation strategy to ensure clean, trusted, and governed data.
- Build robust MLOps capabilities including model training, versioning, and drift detection.
- Build, mentor, and scale a high-performing Data & AI organization.
- Partner with executive leadership and the Product Director to align AI initiatives with company strategy.
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