Applied AI Lead Data Scientist - Vice President

Position Overview

Join our Applied AI/ML team as an AI/ML Solutions Lead (Vice President) driving high-impact GenAI initiatives across Consumer & Community Banking.

This is a hands-on GenAI-focused data science position requiring a proven track record of delivering business-impactful projects from conception through scaled deployment.

You will own the end-to-end lifecycle of GenAI use cases, serving as both technical leader and strategic partner while maintaining hands-on involvement in solution architecture, prototyping, and implementation.

Core Responsibilities

Strategic Delivery & Technical Leadership


* Own end-to-end delivery of GenAI and AI/ML use cases with ability to independently plan, anticipate complexities, and deliver high-quality outputs within agreed timelines


* Hands-on development and prototyping of GenAI solutions, including building POCs, architecting scalable solutions, and writing production-quality code


* Design and implement GenAI solutions leveraging LLMs, agentic AI systems, and RAG architectures


* Build end-to-end data pipelines using Python and modern platforms (Snowflake, Databricks), implementing ETL/ELT processes for model development


* Proactively identify and communicate risks, delays, and mitigation options with structured progress updates

Thought Leadership & Stakeholder Management


* Develop and evangelize strategic vision for GenAI solutions, generating clarity in uncertain environments through deep customer engagement


* Proactively engage with stakeholders to confirm expectations, surface uncertainties early, and maintain alignment throughout project lifecycles


* Own communication cadence with executive stakeholders, providing forward-looking updates without repeated prompting


* Demonstrate analytical rigor and storytelling, clearly linking findings, implications, and recommended actions

Execution & Change Management


* Independently develop comprehensive project plans, identify stakeholders, define success metrics, and drive execution with minimal direction


* Develop and implement best practices for integrating GenAI solutions as scalable, enterprise-grade capabilities


* Collaborate across cross-functional teams to identify strategic partners and foster collaborative environments

Required Qualifications

Critical Technical Skills


* Advanced Python programming with ability to write production-quality, maintainable code for data science and AI/ML applications


* Hands-on GenAI experience:
+ Large Language Models (e.g.

GPT, Claude, Llama) including prompt engineering and fine-tuning
+ Agentic AI frameworks (e.g.

LangChain, LlamaIndex, AutoGen, CrewAI)
+ RAG architectures including vector databases (Pinecone, Weaviate, ChromaDB, FAISS), embedding models, and retrieval optimization


* Modern data platforms:
+ Snowflake for data warehousing and analytics
+ Databricks for distributed compu...