VP of Data Science & AI for Enterprise Solutions

Aegistech; New York (NY); On-site; USD 220,000 - 340,000; Full time

Job summary

Enterprise Solutions (ES) Technology seeks a senior analytics and ML leader to define and drive the AI/ML roadmap across a complex, regulated financial services environment. You will shape high-rigor analytical capabilities and collaborate with global teams to translate business needs into scalable, production-ready models.

This role requires hands-on expertise with data, code, ML frameworks, and governance, plus ability to mentor practitioners and influence decisions through deep technical

Qualifications

• 25+ years of experience in analytics, data science, and ML, with a strong track record of delivering and operating production-grade models in regulated environments.
• Experience delivering production-grade ML models in financial services or similar highly regulated environments.
• Hands-on with data, code, ML frameworks, and complex datasets, and able to collaborate with software engineering and platform teams.
• Ability to translate analytical problems into scalable, production-ready ML systems with measurable outcomes.

Responsibilities

• Define and lead the AI/ML roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a regulated global financial-services environment.
• Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction.
• Own the full model lifecycle from framing to deployment, monitoring, and incident response.
• Partner with engineering, data platform, product, and business teams to deliver scalable ML systems that deliver business value.
• Act as a hands-on technical authority, guiding practitioners, improving data quality, and influencing decisions through expertise.
• Gain exposure to senior technology leaders and regulated AI/ML practices in a global enterprise setting.

Skills

AI/ML expertise

Analytics & Data Science

Production ML systems

Regulatory-compliant ML

Tools

ML frameworks

Data platforms

Job description

Enterprise Solutions (ES) Technology seeks a senior analytics and ML leader to define and drive the AI/ML roadmap across a complex, regulated financial services environment. You will shape high-rigor analytical capabilities and collaborate with global teams to translate business needs into scalable, production-ready models.

This role requires hands-on expertise with data, code, ML frameworks, and governance, plus ability to mentor practitioners and influence decisions through deep technical