Senior Program Manager, AI Studio

VF Corporation•Costa Mesa, CA

23h

About The Position

At VF, we strive to foster a culture of belonging based on respect, connection, openness, and authenticity. Apply advanced data science methods to solve business problems, generate actionable insights, and support data-driven decision making. Partners with cross-functional teams develop analytical models, optimize processes, and translate complex data into business value. This role involves designing, developing, and deploying statistical, predictive, and machine learning models to address business challenges. It also includes analyzing large, structured and unstructured datasets to identify trends, opportunities, and risks. Collaboration with business, product, and technology teams is key to define analytical requirements and translate them into scalable solutions. The role requires communicating findings and recommendations through clear visualizations, reports, and presentations, ensuring data quality, integrity, and adherence to governance standards. Continuous improvement of analytics capabilities, methodologies, and best practices, as well as supporting the evaluation and implementation of emerging data science tools and technologies are also part of the responsibilities.

Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Equivalent relevant experience may be considered in lieu of a degree.
Typically 5+ years of experience in data science, advanced analytics, or a related discipline.
Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
Proficiency in Python, R, SQL, and data visualization tools.
Experience working with cloud-based data platforms and large-scale datasets.
Strong communication and stakeholder management skills with the ability to explain technical concepts to non-technical audiences.

Responsibilities

Design, develop, and deploy statistical, predictive, and machine learning models to address business challenges.
Analyze large, structured and unstructured datasets to identify trends, opportunities, and risks.
Collaborate with business, product, and technology teams to define analytical requirements and translate them into scalable solutions.
Communicate findings and recommendations through clear visualizations, reports, and presentations.
Ensure data quality, integrity, and adherence to governance standards.
Contribute to the continuous improvement of analytics capabilities, methodologies, and best practices.
Support the evaluation and implementation of emerging data science tools and technologies.