Vice President, AI Data Scientist, Private Markets

Lead and own technical vision and delivery of graph-enabled AI capabilities for private-markets data workflows, focusing on multi-agent LLM systems and knowledge graph integration.

Work directly with users to identify problems, design measurable outcomes, and lead applied research through to production adoption with strong governance and quality controls.

Mentor AI talent, elevate technical standards, and translate cutting-edge research into scalable, reusable enterprise AI solutions enhancing private-markets intelligence and automation.

Substantial experience designing, building, and operating production AI and machine-learning systems in enterprise or data-product environments.

Demonstrated leadership of complex AI projects from problem discovery through deployment and measurable impact.

Deep expertise in large language models (LLMs), multi-agent systems, knowledge graphs, graph data science, and predictive modeling over networked data.

Ability to write production-quality code and collaborate across data, model, service, and application engineering layers; understanding of private markets or adjacent domains is highly desirable but not mandatory.

Experienced senior AI technical leader with a strong track record in delivering applied AI/ML products for complex, data-intensive workflows involving knowledge graphs and agent-based AI.

Operates as a hands-on player-coach, balancing research innovation with pragmatic production delivery, and working closely with cross-functional teams and end users.

Deep domain curiosity with capacity to quickly build expertise in private markets and alternative investments; prioritizes responsible AI use, governance, security, and human oversight.