Vice President , Data Products

New York, NEW YORK, United States

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Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

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.

Qualifications

Qualifications

Required Qualifications

  • 10+ years of experience in data-driven product management, business intelligence, or analytics roles, with at least 5 years in leadership positions focused on data products in the media or entertainment industry.
  • Proven experience in creating and scaling analytics products that provide actionable insights and support data-driven decision-making across media businesses.

Desired Characteristics

  • Experience in media analytics (e.g., content performance, audience behavior, advertising measurement) and working with large-scale media platforms.
  • Strong background in analytics tools and technologies, including data visualization (e.g., Tableau, Looker, DOMO), advanced analytics (e.g., Python, R), and business intelligence platforms.
  • Familiarity with machine learning and AI technologies for personalized content recommendations and audience segmentation.
  • Experience with modern data infrastructure and platforms, such as Snowflake, BigQuery, AWS, GCP, and Azure.
  • In-depth understanding of media consumption patterns and audience measurement (e.g., SVOD, AVOD, Linear.
  • Strong leadership skills with experience managing high-performing teams and driving collaboration across technical and business functions.
  • Excellent communication skills, with the ability to present complex analytics insights to executive leadership and non-technical stakeholders.
  • Ability to influence cross-functional teams and align them around a shared vision for data products.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Media Studies, or a related field.
  • Master’s degree, MBA, or advanced degree in a relevant field is preferred.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $220,000 - $325,000 (bonus and long-term incentive eligible).

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to SpinCo in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

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Tags: AWS Azure BigQuery Business Intelligence Computer Science Data governance Data visualization Engineering GCP Looker Machine Learning NLP Privacy Python R Snowflake Streaming Tableau Testing

Perks/benefits: Career development Health care Insurance Medical leave Salary bonus

Region: North America
Country: United States

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