Vice President

The Enterprise Data Team is looking for a Vice President of Audience Analytics to be responsible for blending advanced data science with consumer insights to drive business impact across enterprise-level marketing and advertising. Reporting to the SVP of Data Product Development, this role leads and develops a high-performing, cross-functional team that combines expertise in analytics, research, and data science to unlock a deep understanding of audience behavior and engagement.

This leader will guide the organization’s transition to consumer-centric decision-making, applying cutting-edge techniques—including machine learning models, segmentation, and persona development—to support business growth, campaign performance, and brand resonance.  The ideal candidate will possess an entrepreneurial ethos, an ability to operate in a dynamic environment, and a working knowledge of the current digital media landscape. This role is based in New York City.

KEY RESPONSIBILITIES:

• Lead the development and execution of data-driven audience strategies that serve both enterprise-level Marketing and Ad Sales objectives.
   
• Manage and grow a multidisciplinary team of data scientists, analysts, and researchers, fostering a culture of creativity, innovation, and accountability.
   
• Build and deploy machine learning models for persona development, segmentation, and behavioral prediction.
   
• Activate audience insights across departments, partnering with business unit Marketing, Product, and Ad Sales teams to drive personalization, targeting, and performance measurement.
   
• Oversee the integration of diverse data sources—including first-party, third-party, and behavioral data—to create a unified audience view.
   
• Translate complex analytical and cultural insights into clear narratives and actionable business recommendations for senior leadership.
   
• Identify enterprise-level whitespace opportunities and design research projects that inform content ideation, competitive strategy, and creative direction.
  
   

QUALIFICATIONS:

• 10–15+ years of experience in data science or audience analytics, with some consumer research experience, including at least 3 years in a senior leadership role.
   
• Proven experience applying advanced analytics and machine learning models to segment audiences and build predictive frameworks.
   
• Strong understanding of both B2C Marketing and Ad Sales environments, with the ability to influence across business units.
   
• Exceptional storytelling and communication skills; able to synthesize data and cultural signals into compelling strategic narratives.
   
• Experience leading cross-functional teams and large-scale insight initiatives.
   
• Proficiency with tools such as Python, R, SQL, and cloud platforms like AWS or BigQuery.
   
• Bachelor’s degree required; Master’s preferred in a relevant field (e.g., Data Science, Marketing Analytics).

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $260,000 to $350,000. Please note this information is specific to those hired in New York City. If this role is open to candidates outside of New York City, the salary range would be aligned to that specific location. A final decision on the successful candidate’s starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills and experience, training, certifications, and education. Hearst provides a competitive benefits package, including medical, dental, vision, disability, and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.