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Director, Data Science - Graph & Insights

Job in St. Petersburg, Saint Petersburg, Pinellas County, Florida, 33701, USA
Listing for: Univision communications inc
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    Data Science Manager, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 190000 - 280000 USD Yearly USD 190000.00 280000.00 YEAR
Job Description & How to Apply Below
Location: St. Petersburg

Televisa Univision is the leading Spanish-language media company in the world! We’re investing in our content, our people, and our properties, which span digital, streaming, social, audio, linear, and live events. We’re growing our offerings, building on the success of our streaming platform, ViX. Televisa Univision is seeking a Director of Data Science, Graph and Insights to join our Data Science and Engineering team.

This team serves as the organization’s center of excellence for advanced analytics and data science, providing innovative data products, scalable analytical solutions, and actionable insights that drive strategic business decisions across the enterprise.

The team is responsible for building and enhancing large-scale, high-performance systems that organize and activate data from multiple platforms while developing advanced statistical models and proprietary data assets that power advertising, audience intelligence, personalization, and product innovation. This team owns several of the company’s most valuable data assets, including our Hispanic Household Graph, household and identity graph solutions, entity resolution capabilities across multiple identity providers, conflict resolution methodologies, proprietary audience segments, and strategic partnerships that expand Televisa Univision’s data ecosystem and enable new data-driven products and services.

The Director of Data Science, Graph and Insights will lead the strategy, development, and continuous evolution of Televisa Univision’s household and identity graph capabilities. This leader will be responsible for advancing the quality, scalability, and business value of our proprietary graph assets through statistical modeling, algorithm development, identity resolution, and integration of first- and third-party datasets. The Director will establish technical direction, prioritize initiatives, and partner closely with senior leaders across Product, Engineering, Data Engineering, Marketing, Research, and Ad Sales to ensure our graph capabilities continue to drive competitive advantage.

This is a player-coach leadership role, balancing strategic leadership with hands-on technical contributions. The Director will mentor and develop a team of data scientists while remaining actively involved in solving complex technical challenges, guiding architectural decisions, and delivering high-impact analytical solutions. A successful candidate will be an integral leader within the Enterprise Data organization and a trusted partner to stakeholders across the company.

This individual will build and develop a high-performing data science team through coaching, technical leadership, and operational excellence while fostering collaboration across the broader data organization to deliver innovative data products and measurable business impact.

YOUR DAY-DAY: (aka Responsibilities)
  • Lead the vision, roadmap, and execution strategy for Televisa Univision’s household and identity graph capabilities.
  • Manage, coach, mentor, and develop a high-performing team of data scientists, fostering a culture of innovation, technical excellence, collaboration, and continuous learning.
  • Establish technical direction and best practices for graph science, identity resolution, statistical modeling, and machine learning initiatives.
  • Own and continuously improve household and identity graph assets, including entity resolution frameworks, conflict resolution methodologies, audience segmentation, and graph enrichment strategies.
  • Evaluate, validate, integrate, and optimize new first-party and third-party data sources to strengthen graph quality and business value.
  • Apply advanced statistical techniques, machine learning, and algorithmic modeling to improve graph accuracy, audience understanding, and identity resolution.
  • Partner closely with Product, Engineering, Data Engineering, Marketing, Research, and Ad Sales leaders to prioritize initiatives that support strategic business objectives.
  • Translate complex analytical findings into actionable recommendations that influence executive decision-making and product strategy.
  • Drive the development of scalable data science solutions that…
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