Executive Director, Principal AI Data Scientist

The Role

As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives that directly shape TWGGlobal’s competitive advantage. Reporting to the Managing Director of AI & Data, you will act as a senior technical leader—driving enterprise-critical projects, setting technical direction, and mentoring a small team of data scientists.

You will partner closely with senior executives across the firm to align data science solutions with strategic priorities, ensuring adoption of advanced AI methods in a responsible and scalable way. This role requires deep technical expertise coupled with the ability to influence decision-makers and deliver measurable outcomes at the enterprise level.

• Lead execution of flagship AI/ML projects that drive measurable value in financial services and adjacent sectors.
• Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation).
• Translate complex business challenges into enterprise-level data science solutions with tangible ROI.
• Mentor and guide a small team of data scientists, fostering technical excellence, rigor, and responsible AI adoption.
• Partner with business leaders, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
• Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
• Define standards for experimentation, reproducibility, and governance of AI solutions.
• Stay ahead of emerging trends in AI/ML, advising on adoption and firm-wide capability building.

• 10–12+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects.
• Strong expertise in advanced machine learning, causal inference, deep learning, and statistical modelling.
• Demonstrated success leading end-to-end projects and influencing senior stakeholders.
• Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
• Experience mentoring or leading small, high-performing teams.
• PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline.
• Recognized as a technical thought leader through publications, external talks, or open-source contributions.

• Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
• Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA).
• Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks).
• Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups.
• Experience establishing standards for reproducibility, experimentation, and responsible AI.
• Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
• Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.

This is a hybrid position ideally based out of our New York, NY office. Candidates based in Santa Monica, CA will also be considered.

The expected base pay for this position is $,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.

TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.