Data Science Manager- Generative AI

Citizens Bank • Westwood, MA

33d • Hybrid

About The Position

As a Data Science Manager, you will lead a team focused on applying Generative AI and Natural Language Processing (NLP) to solve complex business challenges across the bank. This role emphasizes the use of pre-trained Large Language Models (LLMs) and other out-of-the-box Gen AI tools to deliver scalable, responsible, and innovative solutions. You’ll guide technical execution, mentor data scientists, and collaborate with stakeholders to ensure alignment between AI capabilities and business needs.

Requirements

• 6+ years of experience in data science, machine learning, or AI, with at least 2 years in a leadership or managerial role.
• Hands-on experience applying Generative AI and LLMs in production or pilot environments.
• Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Langgraph, Autogen, Strands etc.).
• Proven ability to lead technical teams and manage multiple projects simultaneously.
• Experience working with unstructured data and integrating AI solutions into business workflows.
• Strong communication skills, including technical writing and stakeholder engagement.

Nice To Haves

• Experience with prompt engineering and LLM orchestration.
• Familiarity with cloud platforms and MLOps tools.
• Experience interacting with model validation teams and regulators.
• Background in Agile methodologies and project management tools.

Responsibilities

• Lead the development and deployment of Gen AI-powered solutions using LLMs for complex workflows and processes.
• Manage and mentor a team of data scientists, providing technical guidance, career development support, and performance feedback.
• Partner with business and technical stakeholders to identify high-value opportunities for Generative AI and define solution strategies.
• Oversee data sourcing, preparation, and transformation efforts to support model input and evaluation.
• Ensure responsible AI practices by collaborating with risk, compliance, and model validation teams.
• Drive prompt engineering, model evaluation, and iterative refinement of LLM-based solutions.
• Stay current with advancements in Generative AI and NLP, and assess their applicability to banking use cases.
• Contribute to the development of internal standards and best practices for Gen AI adoption.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees