VP of Data Science

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VP of Data Science establishes, plans, and administers the overall policies and goals of the data science function to support the organization's objectives. Provides strategic guidance, oversight, and direction for data science initiatives to ensure accuracy, timely delivery, and alignment with organizational goals. Being a VP of Data Science allocates resources and evaluates and improves the tools, techniques, and methodologies utilized to extract and process data. Remains up-to-date on trends and developments in AI, machine learning, and data engineering. Additionally, VP of Data Science typically requires a master's degree in computer science, mathematics, engineering. Typically reports to senior management. The VP of Data Science manages a departmental function within a broader corporate function. Develops major goals to support broad functional objectives. Approves policies developed within various sub-functions and departments. To be a VP of Data Science typically requires 8+ years of managerial experience. Comprehensive knowledge of the overall departmental function.