VP of Analytics and Data Science

Key responsibilities: Set the vision and roadmap for business intelligence, analytics, data science, and AI-assisted analysis aligned with strategic priorities Establish an operating model for partnering with business lines to identify needs and deliver high-value analytics solutions Oversee the development of business intelligence solutions and predictive models that support decision-making across various business functionsRequired qualificationsBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; master's degree preferred 12+ years of experience in data analytics, business intelligence, or applied data science, including at least 7 years in leadership roles Demonstrated experience in developing and executing analytics strategies aligned with business priorities Experience implementing machine learning models and predictive analytics in production environments Familiarity with cloud data platforms, preferably AWS, and analytical databases like Amazon Redshift or Snowflake