Citizens Financial Group, Inc.-posted about 2 months ago
Full-time • Manager
Hybrid • Columbus, OH
5,001-10,000 employees
Management of Companies and Enterprises

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.

  • 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.
  • 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.
  • 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.
  • competitive pay
  • comprehensive medical, dental and vision coverage
  • retirement benefits
  • maternity/paternity leave
  • flexible work arrangements
  • education reimbursement
  • wellness programs
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