Director, Data Science - Graph & Insights

Responsibilities

• Lead the vision, roadmap, and execution strategy for TelevisaUnivision’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 improve audience intelligence, advertising capabilities, and customer experiences.
• Define success metrics, monitor performance, and continuously improve graph quality, operational efficiency, and business outcomes.
• Lead multiple high-impact initiatives simultaneously while balancing long-term strategic investments with immediate business priorities.
• Lead the technical direction and subject matter expert for Graph and Insights across the organization.
• Foster strong cross-functional relationships and influence technical and business decisions across a highly matrixed organization.
• Remain hands-on with complex technical work where appropriate while empowering team members through effective delegation and coaching.

Qualifications and Experience

• 8+ years of experience in Data Science, Applied Statistics, Machine Learning, or a related quantitative field.
• 3+ years of experience leading, managing, mentoring, and developing technical teams.
• Proven experience defining technical strategy and influencing cross-functional business and technology decisions.
• Strong expertise in statistical modeling, machine learning, graph-based analytics, and quantitative methodologies.
• Advanced proficiency in Python and SQL.
• Experience working with large-scale cloud-based data warehouse environments such as BigQuery or Snowflake.
• Experience conducting complex analyses that drive measurable business impact.
• Proven ability to communicate technical concepts effectively to both technical and executive audiences.
• Demonstrated success managing multiple complex initiatives and competing priorities in a fast-paced environment.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Data Science, or another quantitative discipline.

Desired Skills, Qualifications And Experience

• Experience building pseudonymous identity frameworks leveraging device graphs.
• Experience with household graphs, identity graphs, entity resolution, or conflict resolution frameworks.
• Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, Engineering, Data Science, or another quantitative discipline.
• Experience working with very large datasets and distributed data processing environments.
• Experience developing proprietary data products that support advertising technology, personalization, customer analytics, or audience measurement.
• Demonstrated ability to influence senior leaders and drive alignment across highly matrixed organizations.
• Strong strategic thinking and business acumen with the ability to translate business priorities into scalable data science solutions.
• Strong relationship-building, coaching, and leadership skills.
• Excellent written, verbal, and presentation communication skills.
• Ability to thrive in a rapidly changing, high-growth environment while balancing strategic priorities and execution.