Senior Vice President, Data Science & Analytics (AI/ML)

TL;DR

Senior Vice President, Data Science & Analytics (North America): Define and implement analytics and data science strategies across financial services products with an accent on AI/ML integration, innovation, and risk mitigation. Focus on leading data teams, evaluating emerging trends like big data and AI, and partnering cross-functionally to drive business transformation and personalized customer experiences.

Location: United States (ability to work remotely in the US, hybrid, or in-office)

Salary Range: $325,000 - $425,000

Company

Global data and technology company powering decisioning, fraud prevention, and analytics in financial services, healthcare, automotive, and more industries.

What you will do

• Define and implement analytics strategy, communicating to executives, partners, and customers.
• Lead and inspire data professionals to build world-class data capabilities.
• Implement ML/AI models to enhance products, operations, and customer personalization.
• Steward data as a strategic asset for revenue and risk mitigation.
• Identify trends, drive innovation leveraging key technologies, and oversee data application development.
• Partner with product, sales, marketing, and tech leaders to provide analytics insights.

Requirements

• Minimum 15 years in developing business-driven data strategies and progressive leadership.
• Deep knowledge in data technology, architecture, lifecycle, tools, advanced analytics, predictive models, ML, and AI.
• Experience implementing data/platform strategies for business transformation.
• MBA or equivalent in Data Science, Analytics, or related fields.
• Proven leadership in high-performance culture, cross-functional collaboration, decision-making, and strategic thinking.

Culture & Benefits

• Comprehensive executive total rewards package.
• Flexible work: remote in US, hybrid, or in-office.
• Unlimited vacation, volunteer time off, 12 paid holidays.
• Focus on inclusion, work/life balance, development, wellness, and recognition.
• Global recognition as top workplace.