Data Science and AI Engineering Lead, VP
Core
Lead the design, development, and implementation of novel AI solutions to simplify and accelerate Operations and Controls activities for Corporate and Investment Banking.
Role type
VP-level Data Science and AI Engineering Lead (Hands-on IC with people management)
Builds
Production-grade AI solutions, agentic AI architectures, and data products for banking operations and controls
Domain
Banking (Corporate & Investment Banking) / AI Engineering & Data Science
Deliverable
production ML models
Required skills
Classical Machine Learning, cutting-edge AI tools, agentic AI solution design, data/feature engineering, AI risk management, Python, SQL, no-code/low-code AI platforms
Preferred skills
Google Cloud Platform ecosystem, front-to-back AI solution architecture, AI coding assistants
Technologies
PyTorch, TensorFlow, scikit-learn, MLflow, Weights and Biases, Jupyter Notebook, Hugging Face, Langchain, Langgraph, Google Vertex, Neo4J, BigQuery, Looker, PostgreSQL, Pinecone, Spark, Clickhouse, MongoDB, Redis, Databricks, Denodo, Snowflake, Microsoft AI Builder, Power Automate, Google AI Studio, Claude Cowork
Responsibilities
Lead and develop a high-performing Data Science and AI Engineering team; Design, develop, and implement novel AI solutions; Ensure new AI solutions are rigorously evaluated, tested, validated, and monitored; Drive adoption of AI best practices and governance across the organization
Seniority
VP, strategic leadership with hands-on technical execution