VP, Data & Analytics

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Requirements:

• Master’s Degree in Computer Science, Statistics, Mathematics, Information Systems, or a related technical field.
• 10+ years of leadership experience in data and analytics, including a track record of building and scaling high-performing data teams and cloud-based data platforms, while modeling leadership principles.
• Deep expertise in working with large, complex datasets, predictive analytics, machine learning, and advanced analytical tools to extract actionable insights.
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs.
• Exceptional ability to translate technical concepts into actionable business insights and coordinate cross-functionally with key stakeholders and effectively communicate complex data insights to technical and non-technical audiences, including C-suite.
• Experience in financial services or fintech preferred, with a solid understanding of structured and unstructured data analytics.

Responsibilities:

• Develop and execute a comprehensive data strategy while building and leading high-performing, cross-functional data teams to foster a data-driven culture and enable data-informed decision-making.
• Facilitate collaboration with business leaders to identify innovation opportunities, improve operational efficiency, and effectively communicate complex insights to technical and non-technical audiences.
• Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and governance frameworks to support analytics, ensure data quality, and empower self-service analytics.
• Own pricing strategies, including dynamic pricing models, price elasticity analyses, and experimentation initiatives to drive business outcomes.