Director, AI & Data Science
$230,000–$230,000 year
HybridNew York, United States or Manhattan, New York, United States
Job Summary
Lead the Data Science & Modeling team by managing model design, validation, and technical review while owning the roadmap for CRE, CMBS, CLO, and banking data products. Recruit, mentor, and develop data scientists and engineers, partnering with technical leads to ensure models are built on solid infrastructure and shipped into production. Shape Trepp's AI strategy by identifying high-value use cases like agentic workflows and LLM-powered features, translating them into executable roadmaps. Act as a technical advisor on AI capabilities, tradeoffs, and risk for product and executive stakeholders, driving internal tooling adoption across the engineering organization. Communicate technical concepts and AI limitations clearly to non-technical executives. This role reports directly to the CTO within a collaborative environment where technologists work closely with Product and subject matter experts.
Required Qualifications
- Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or equivalent field
- Advanced degree
- Minimum 8 years of experience in data science, quantitative modeling, or applied machine learning, including hands-on model-building work
- Minimum 4 years of experience in leading and running an engineering team
- Expertise in Python and the data science toolkit ecosystem (numpy, scikit-learn, pandas), plus strong SQL skills
- Demonstrated experience shaping or executing an AI strategy — not just using AI tools, but making decisions about what to build, buy, or adopt and why
- Experience deploying production AI systems using cloud-native technologies, containerization, and orchestration platforms
- Working knowledge of modern LLM/agentic AI concepts and tradeoffs (RAG, tool use, evaluation, guardrails), LLMOps and how they apply to real products
- Strong interpersonal skills and ability to effectively communicate with teams across the entire organization
- Valid work authorization in the United States without requiring visa sponsorship
Desired Qualifications
- A drive to work on financial data systems & pipelines, including experience working with structured finance or commercial real estate datasets
- Experience with MLOps practices to manage model lifecycle, versioning, deployment, and monitoring using best practices, APIs, and tooling
- Prior experience building or scaling an internal AI tooling/adoption program, not just customer-facing AI
- Background in Financial Services, commercial real estate or related industry
- Familiarity with Atlassian Product Suite (Jira/Confluence), AWS Cloud, and GitHub-based engineering workflows
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