Lead the design and development of AI capabilities, including NLP, GenAI, predictive modeling, and agent-based automation.
Build AI-driven workflows that simplify multi-step business processes and reduce manual effort.
Translate business problems into clear technical approaches, including data needs, and workflow design.
Validate assumptions, iterate quickly, and refine solutions based on stakeholder feedback.
Work closely with global Finance teams, analysts, and engineering partners to ensure solutions align with program objectives.
Communicate complex AI concepts in clear business terms for senior leaders and operational teams.
Support change management and user adoption by helping stakeholders understand how AI solutions improve their workflows.
Ensure all AI solutions align with enterprise standards for responsible AI.

Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, Finance, or related field.
5+ years of hands-on experience in applied AI, ML engineering, or advanced analytics.
Demonstrated experience building GenAI, LLM, RAG, NLP, or agent-based AI solutions.
Strong background in Finance-related datasets and workflows.
Strong Python skills and experience developing end-to-end AI/ML pipelines.
Expertise with LLMs, GenAI frameworks, NLP techniques, and agentic AI.
Familiarity with modern data platforms (e.g., Databricks, Snowflake, cloud platforms).

Lead Applied AI Analyst

Key skills