Sr Dir, Content Analytics - CNN Digital Product And Services

Senior Director Of Content Analytics

CNN is seeking a Senior Director of Content Analytics who will be instrumental in leading and fostering a culture of data-informed decision-making. This individual should be self-motivated, work well independently and as part of a team, and be passionate about what they do. The role will be responsible for leading a team of data analysts and data scientists who analyze audience and engagement trends through behavioral, quantitative and qualitative data to guide product and editorial decision-making across a variety of platforms.

The Senior Director will report to the VP of Audience and Engagement Analytics.

The Senior Director of Content Analytics will:

• Develop comprehensive methodologies to assess performance of individual pieces of content compared to expectations
• Deeply understand, measure, and explain the news cycle, providing assessments of content and overall digital performance relative the news cycle of the day
• Support the growth and deepening of audience engagement for content delivered via streaming products and produce best-in-class insights with tangible opportunities for editorial teams to act on
• Inform long-term content strategy through deep analytics and modeling synthesized with research
• Drive the development self-serve tools for the newsroom to be able to quickly understand performance and inform real-time decisions for coverage and content promotion
• Co-lead the conversation on digital performance in daily news meetings with editorial partners
• Partner with audience and engagement analytic teams to evaluate how content drives overall reach and deepens engagement
• Develop and lead a team of data analysts who partner with product and editorial teams
• Execute on the analytic strategy of content groups within CNN, building programs to deliver data analysis, experimentation, and survey-based research in support of product and editorial decisions
• Evaluate existing and develop new metrics, reports, and dashboards for internal audiences; create consistent and documented data definitions for key content metrics
• Apply both quantitative disciplines and creativity to translate data into actionable insights through data visualization
• Define and validate data by working with business partners to ensure data quality and alignment with company-wide data logic/naming conventions
• Work with internal or external data partners to process, organize, and connect various data sources, including content metadata, behavioral user data, and third-party audience and customer satisfaction data.

Qualifications & Experience...

• 10+ years of experience in data/analytics or related field
• 3+ years of experience managing and building an analytics team
• Experience with BI tools (e.g. Looker, Domo, Tableau, etc.)
• Significant experience using SQL to explore and analyze large data sets in cloud environments
• Experience with providing data requirements while working with structured and unstructured data sets
• Experience with digital news, streaming content or relevant digital analytics experience plus strong interest in news

Key Contributors to Success...

• Ability to attract, retain, and develop data talent through caring leadership and an inclusive mindset
• Collaborative approach to partnership
• Comfortable communicating with a diverse set of backgrounds, seniority levels, and knowledge sets, particularly in translating complex data concepts to strategic recommendations
• Logical mindset capable of making appropriate trade-offs between speed and analytical depth without sacrificing quality
• A self-starter who is passionate about getting data, using data, making sense of data, and helping others benefit from making analytics driven decisions

Nice-to-Haves...

• BA/BS degree or higher in Math/Stats, Operations Research, Computer Science, Engineering, or other related quantitative field
• Industry knowledge of digital streaming services and how to approach them with an analytical lens strongly preferred
• Experience working with editorial teams
• Strong background in experimentation and statistics
• Experience with writing Python and R scripts