Vice President, Audience Analytics

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:


* 1015+ 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...