We are seeking a visionary and accomplished Data Scientist at the Vice President (VP) level to lead our enterprise AI/ML and generative AI initiatives. As a senior member of the organization, you will set the strategic direction for LLM and generative AI research, model development, and productionization , partnering with business units, platform engineering, and governance to deliver innovative, secure, and scalable AI solutions.
This role requires deep technical expertise in data science and AI, a proven track record in deploying AI at scale, and the ability to influence and guide the organization’s AI strategy and best practices.
Lead and oversee the design, development, deployment, and lifecycle management of advanced ML, NLP, and generative AI solutions for high-value, complex business problems.
Architect and operationalize large-scale LLM-based solutions, including prompt engineering, fine-tuning, embeddings, vector search, RAG, and knowledge graph integration.
Establish and own enterprise-wide frameworks for model evaluation, benchmarking, error taxonomy, explainability, anomaly detection, and Responsible AI.
Ensure compliance with model governance, regulatory, and Responsible AI standards, collaborating with risk and compliance teams.
Partner with senior business leaders, product owners, engineering, architecture, and governance to translate strategy into actionable AI roadmaps.
Advocate for the adoption of reusable AI assets, experimentation frameworks, and best practices for model development, deployment, and monitoring.
Stay at the forefront of advancements in AI/ML, LLMs, agentic systems, and enterprise AI platforms, and drive pragmatic adoption of emerging capabilities.
Bachelor’s, BTech, or Master’s degree in Data Science , Computer Science, Mathematics, Statistics, or related quantitative discipline.
1 2-17 years of overall experience in IT and 8+ years of relevant experience in data science, machine learning, and advanced analytics, including 2 + years leading LLM/gen AI solution development and deployment at enterprise scale.
Deep technical proficiency in Python and major AI/ML frameworks ( PyTorch , TensorFlow, Scikit-learn, Keras , etc.).
Hands-on experience with LLMs, NLP, prompt engineering, embeddings, vector databases, and retrieval-augmented generation (RAG).
Experience with structured and unstructured data, knowledge graphs, feature engineering, and graph-based reasoning.
Strong understanding of model validation, explainability, testing, monitoring, Responsible AI, and model risk management.
Excellent communication, stakeholder management, and influencing skills, with the ability to present complex technical concepts to executive leadership.
Experience in financial services, risk, operations, investment analytics, or other regulated enterprise domains.
Familiarity with Databricks, Spark, SQL, LangChain , LlamaIndex , or similar engineering toolsets.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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