Vice President , Data Products

Position Overview: The Vice President of Data Products will be responsible for leading the vision, strategy, and execution of data products that deliver powerful analytics capabilities across our media platforms. This role involves developing products that enable real-time and actionable insights, empowering internal teams with data-driven decision-making tools. The ideal candidate will have a strong understanding of analytics-driven data products, media consumption behaviors, and a deep background in product management and leadership within the media industry. Responsibilities: Lead the creation and execution of a comprehensive strategy for data products that support advanced analytics, audience insights, content performance measurement, and monetization optimization. Collaborate with leadership to ensure data products align with the company’s broader business objectives Develop data products that deliver powerful insights into product and content performance, audience behaviors, engagement metrics, and viewing trends across digital and linear Create real-time dashboards, reporting tools, and predictive analytics models to empower teams to optimize content programming and user experience. Collaborate with cross-functional teams (e.g., tech, product, marketing) to integrate analytics products into their workflows, ensuring that insights are actionable and drive key decisions. Ensure seamless integration of data products with internal platforms, enabling easy access to analytics and metrics for non-technical stakeholders. Oversee the full lifecycle of analytics data products, including ideation, design, development, testing, and iteration. Ensure that data products provide the necessary functionality for complex analytics use cases, such as audience segmentation, viewer behavior analysis, content recommendations, and financial modeling. Work with legal, privacy, and compliance teams to ensure that data products comply with relevant data regulations, such as GDPR and CCPA, while maintaining high standards for data accuracy and quality. Promote best practices in data governance, ensuring that data products are built on a solid foundation of trusted, clean, and compliant data. Identify opportunities to leverage new data technologies (e.g., machine learning, natural language processing) to enhance the capabilities of data products. Serve as the key liaison between business teams and technical teams, ensuring that data products deliver value and solve real-world business challenges. Build, manage, and mentor a high-performing team of data product managers, data analysts, focused on developing and improving analytics products. Cultivate a culture of innovation, collaboration, and continuous learning within the data product team.