Vice President, Data Science
Core
Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, designing and operating production-grade models for anomaly detection, forecasting, and prediction within a regulated global financial-services environment.
Role type
VP, Applied Data Science & AI/ML
Builds
Production-grade ML systems for anomaly detection, variance analysis, drift detection, forecasting, and behavioural signals
Domain
Financial services / Regulated AI/ML
Deliverable
production ML models
Required skills
Strategic roadmap definition, full model lifecycle ownership (framing to monitoring), production-grade model design, regulatory compliance, cross-functional partnership, hands-on technical authority
Preferred skills
Outcome-oriented mindset, technical coaching and mentoring, influencing without formal authority
Technologies
ML frameworks, complex datasets, data platforms
Responsibilities
Define AI/ML roadmap, design and operate production models, own full model lifecycle, partner with engineering and business teams, act as technical authority and multiplier
Seniority
Executive (VP), hands-on IC with strategic leadership
