Head of Data and AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the comprehensive technical strategy and execution roadmap for AI-driven product capabilities across the StarCompliance platform.

• Promote the adoption of generative AI, LLM-based architectures, predictive analytics, graph intelligence, recommendation systems, and semantic search in order to provide measurable customer benefits.

• Develop the data foundation strategy, ensuring that every AI initiative is supported by clean, reliable, and well-governed data.

• Establish strong MLOps capabilities, which include model training pipelines, versioning, monitoring, A/B testing, and drift detection.

• Advocate for practical AI integration within engineering and product development teams.

• Build, mentor, and expand a high-performing Data & AI organization encompassing data engineering, data science, ML engineering, and analytics.

• Collaborate closely with the CTO and executive leadership to ensure alignment of AI and data initiatives with the company strategy and commercial goals.

• Partner with the Product Director of AI & Data Products, jointly owning the AI roadmap, prioritization, and delivery results.

• Collaborate with Product, Engineering, Architecture, Security, and executive teams.

⛳️ Requirements

• Demonstrated success in delivering production-grade AI and ML systems at scale, beyond mere experimentation.

• Extensive experience with generative AI and LLM-based application architectures, including fine-tuning, prompt engineering, RAG, and agentic frameworks.

• Strong understanding of vector databases and semantic search technologies, such as Pinecone, Weaviate, pgvector, or Azure AI Search.

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

• Practical experience with Snowflake or an equivalent cloud data warehouse and related data modeling patterns.

• Solid experience within the Azure ecosystem, including Azure Data Factory, Azure Synapse, Azure OpenAI Service, and Azure Machine Learning.

• Strong software engineering fundamentals, with the ability to engage deeply with senior engineers on technical matters.

• Experience with cloud-native, microservices, and event-driven architectures on Azure or a comparable hyperscaler.

• Capability to make well-informed build-versus-buy-versus-integrate decisions across the AI and data tooling landscape.

• Proven track record in building and leading high-performing Data/AI engineering teams.

• Background in financial services, regtech, compliance, surveillance, or other similarly regulated areas.

• Strong commercial acumen, with the ability to link technical investments to customer value and business results.

• Dedication to maintaining a high standard of personal integrity and ethical conduct.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and career advancement.

• Flexible working arrangements to support work-life balance.

• Comprehensive health and wellness benefits.