Director, Engagement Analytics

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Your New Role...

The Director, Engagement Analytics will lead analytics efforts that help CNN understand how audiences experience, engage with, and return to our digital products across platforms. This role sits at the intersection of Product, Engineering, Experimentation, Design, and Audience teams, translating complex behavioral data into insights that shape product strategy, roadmap prioritization, and long-term engagement growth.

As a people manager and senior analytics leader, you will manage and mentor a team of Product and Engagement analysts, set standards for analytical rigor and interpretation, and serve as a trusted thought partner to senior product and executive stakeholders. You will play a critical role in defining how CNN measures engagement, habit, and audience value - and in ensuring those metrics are used responsibly and consistently across the organization.

Your Role Accountabilities...

Product & Engagement Analytics Leadership

• Lead strategic analysis of product engagement across web, mobile web, and mobile app and CTV, focusing on usage patterns, frequency, retention, and behavioral signals that inform product decisions.

• Partner closely with Product, Engineering, and Design leaders to embed analytics into product discovery, roadmap planning, and post-launch evaluation.

• Develop and evolve engagement measurement frameworks that distinguish between scale, habit, and depth of use.

• Guide interpretation of engagement trends to ensure insights are descriptive, defensible, and appropriately bounded by what the data can support.

• Oversee the development and validation of product-focused metrics, data models, and pipelines in collaboration with Data Engineering.

• Partner with product teams to design, evaluate, and interpret experiments (A/B tests, feature rollouts, natural experiments) to assess product impact on engagement and retention.

• Ensure consistency and quality across dashboards, reporting, and recurring deliverables that support product and engagement decision-making.

• Identify data quality issues, instrumentation gaps, or methodological risks and work cross-functionally to resolve them.

• Manage, mentor, and develop a team of Product and Engagement analysts, providing coaching on analytics methods, storytelling, and stakeholder communication.

• Serve as a QA lead for analyst work - reviewing methodologies, assumptions, SQL queries, and interpretations to ensure accuracy, consistency, and executive readiness.

• Establish best practices for data storytelling, metric interpretation, and executive-level communication.

• Foster a culture of curiosity, rigor, and disciplined thinking about what engagement metrics do - and do not - represent.

• Translate complex analytical findings into clear insights and implications for senior Product, Audience, and Executive stakeholders.

• Present insights in concise, compelling formats that connect product performance to broader engagement and business objectives.

• Partner with senior analytics and product leaders to shape engagement analytics roadmaps and priorities aligned with CNN's strategic goals.

• 9+ years of experience in product analytics, digital analytics, data science, or similar analytical roles.

• 3+ years of experience as a people manager, with a demonstrated ability to mentor, coach, and quality-check analytical work.

• Advanced proficiency in SQL and experience working with large, complex behavioral datasets.

• Strong experience partnering with Product, Engineering, and Design teams on measurement, experimentation, and product decision-making.

• Experience designing and interpreting experiments (A/B testing or quasi-experimental methods) in a product context.

• Proficiency with data visualization tools (e.g., Tableau, Domo, Looker) and strong slide-based storytelling skills.

• Excellent communication and stakeholder management skills, including experience presenting to senior leaders.

• Ability to balance strategic thinking with hands-on analytical problem solving in a fast-paced environment.

• Experience working with dbt, modern data modeling practices, or analytics engineering workflows.

• Proficiency in Python or other statistical scripting languages.

• Familiarity with digital media, publishing, subscription, or news products.

• Experience shaping or operationalizing engagement measurement frameworks at scale.

• Background working in highly matrixed organizations with multiple stakeholder groups.