VP Data Science

The Vice President of Data Science is a senior technology leader responsible for defining and executing the organization’s data science and AI strategy. This leader transforms data into actionable insights, drives AI/ML innovation, and partners with operational leadership to influence product direction, operational excellence, and business outcomes.

Requirements

• Define and own the enterprise data science vision, roadmap, and operating model aligned with company strategy.
• Translate business priorities into high-impact analytics, AI, and machine learning initiatives.
• Serve as an executive advisor on data-driven decision-making, AI adoption, and emerging technologies.
• Establish success metrics and ROI measurement for data science initiatives.
• Build, mentor, and scale a diverse, high-performing organization of data scientists and ML engineers.
• Oversee the design, development, deployment, and lifecycle management of predictive and prescriptive models.
• Maintain a hands-on approach to data science and AI, including the ability to write, review, and guide code in modern data science and machine learning stacks.
• Work closely with Data Engineering to ensure data quality, availability, and scalability.
• Collaborate with Application Development to embed analytics and models directly into workflows and products.

Benefits

• Comprehensive Benefits
• Financial & Retirement Support
• Time Off & Leave
• Wellness & Growth