Vice President, Data Science

What you'll do

• Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions.
• Design, build, and operate production-grade models for anomaly detection, forecasting, and prediction.
• Own the full model lifecycle including problem framing, feature engineering, validation, and deployment.
• Translate complex analytical problems into scalable, production-ready ML systems with engineering and product teams.
• Act as a technical authority by reviewing models and improving data quality and monitoring standards.
• Mentor and guide senior practitioners through technical reviews and knowledge sharing.
• Ensure all AI/ML solutions meet operational, governance, and regulatory requirements in a financial services environment.

What we're looking for

• Must have 25+ years of experience in analytics, data science, and machine learning.
• Must have a track record of operating production-grade models in financial services or other highly regulated environments.
• Must possess deep expertise in statistical modeling, predictive analytics, model development, validation, deployment, monitoring, and optimization.
• Must have strong hands-on technical skills with data, code, ML frameworks, and complex datasets.
• Must have experience building scalable, reliable, and explainable AI/ML solutions that meet governance and regulatory requirements.
• Must have an indefinite right to work in the United States.
• Pragmatic and outcome-oriented mindset focused on delivering models that create tangible business value (preferred).
• Excellent communication skills to explain modeling decisions and risks to technical and non-technical audiences (preferred).