Manager, IT Data, ML & AI Engineering

AI/ML Data Scientist, US Commercial (Raleigh, NC – hybrid-eligible)

Key Responsibilities:
- Design and execute prompt engineering strategies and conduct experimentation to optimize AI model performance.
- Lead process discovery across finance functions and translate business logic into technical specifications for AI solutions.
- Serve as finance SME in AI model design, feature engineering, and solution architecture.
- Document current-state workflows and design future-state AI-enabled processes.
- Validate AI solutions against current-state workflows and regulatory requirements (including SOX, controls).
- Contribute to data solution development and provide post-implementation support (troubleshooting, root cause analysis).
- Manage portfolio-level tracking, executive dashboards, and metrics across finance AI/ML use cases.

Skills and Experiences (Qualifications):
- Bachelor’s or higher degree in statistics, data science and/or computer science, plus 5+ years of relevant experience.
- Experience with prompt engineering, LLM testing, or AI model experimentation.
- Exposure to finance activities/processes in a corporate environment (preferred).
- Systems thinking; ability to visualize workflows/processes and experience/education on process design (preferred).
- Ability to depict activity in process flows and identify opportunities to optimize using automation and AI.
- Curious and agile learner across multiple domains.
- Strong problem definition and problem-solving skills.
- Ability to multitask, prioritize, and manage projects.
- Strong oral and written communication skills.