Sr Manager, Product Analytics - CNN Digital

Division

Turner

Position Type

Full Time

Interests

Digital/Interactive Media

Location

United States - California - Los Angeles, United States - California - San Francisco, United States - New York - New York

Posted Date

Nov. 25, 2020

Req Number

179775BR

Company Overview

WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others.

Opportunity Overview

The Vision: Redefining News in the AI Era

We are CNN: The world's most essential and engaging source of digital news. We are in the midst of rapid transformation and need you to help us find the next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more informed, and more connected place widening and enriching consumers' world views.

Underlying our aspiration is the belief that technology can align with journalists and consumers' best interests. We are taking a human-led, machine informed approach to designing the next generation online news experience. This includes transforming consumer goals into intelligent algorithms that maintain our editorial values while delivering personalized news to millions of consumers.

The CNN Core News and Data Intelligence (DI) teams are at the forefront of addressing these challenges. Our Core News team is responsible for CNN's flagship web and mobile app products. The Core News team is creating the future of digital news experiences for more than 170mm people around the world every month. Our DI team is responsible for developing CNN’s data analytics and machine learning capabilities that power our digital news experience. The DI team is developing CNN's product analytics and recommender systems. Both these teams are collaborating to solve high-impact problems, including:
  • Editorial Diversity. How can journalists and editors monitor and choose what stories to write about that increase coverage among tens of thousands of potential news topics?
  • Consumer Discovery. How do we help consumers quickly discover news stories of interest while also expanding their interests and perspectives over time?
  • Product Insights. What improvements can we make to the user experience that will drive long term engagement and retention for each consumer?

Our team members include a diverse set of product managers, designers, scientists, and engineers. We seek 't-shaped' individuals who are data ninjas but also have strong direct-to-consumer product experience and operate with a growth mindset. If you are passionate about applying data and machine learning to help transform the world's leading news brand, join us!

The Job: Senior Manager, Product Analytics (Core News)

We are seeking a Senior Manager, Product Analytics to join our Data Intelligence (DI) team. This individual will be fully ‘embedded’ into our Core News team, playing a critical integrator role between both teams. He/she will empower the Core News team members with the tools and insights they need to ensure cnn.com and CNN mobile apps are engaging its users around the globe. Core areas of focus and desired outcomes include:
1.Establish a Measurement Framework. Lead the definition, implementation, and adoption of the Core News product metrics and self-serve analytics reporting tools.
2.Perform Predictive Analysis. Perform user data exploration and modeling to establish causal links between product behaviors and long-term user engagement and retention.
3.Execute Insights Experiments. Design and interpret statistically significant experiments that validate user behavior metrics and or related new product features.

This is a collaborative role, where you’ll work to accomplish our objectives with cross-functional teams and peers including product managers, revenue, content and design strategists, engineering, consumer science and research. You’ll lead through influence to challenge assumptions in favor of building and maturing a data-driven, insightful culture that has the insights it needs to make informed decisions fast and deliver impactful experiences.

Role Responsibilities include:
  • Serve as central point-of-contact for product analytics on the Core News team, connecting product, design, engineering, consumer science, and research teams
  • Develop metrics for web and mobile app KPI tracking (including complex algorithm-based metrics), including the definition of new user events required for tracking and instrumentation
  • Conduct detailed analyses such as user journey patterns, product feature use, user-behavior trends, user segmentation to create tangible insights that inform product strategy and/or plans.
  • Identify opportunities/risks in user behaviors and patterns through quantitative analysis – e.g., comparing cohort behavior, running regressions and classifications
  • Effectively form and communicate recommendations based on analysis to a variety of technical and non-technical audiences
  • Operationalize access to data, dashboards and key insights - and conduct training to empower teams to self-serve the data and dashboards they need.
  • Build proactive relationships with peers and cross-functional teams in the company so you understand the relevant questions and needs of the business, and use that to advise your analysis
  • Manage the design, execution, and analysis of A/B/N testing programs that support data intelligence driven product experiences
  • Partner with data platform and engineering team to continually interrogate the tools, methods, and processes supporting analysis to optimize the cost and function of our tech stack
  • Evangelize and champion an objective data driven culture which includes the use and application of various statistical methods and tooling

Desired Experience & Characteristics include:
  • 8+ years’ experience working on or with cross-functional product teams, preferably within online direct-to-consumer (DTC) types of companies
  • 5+ years of data analyst and/or data science experience including strong statistical and data modeling skills (SQL, R, Python), hands on analysis and data wrangling from complex data sets (Snowflake, Segment, AWS Redshift)
  • 3+ years’ experience implementing and supporting self-serve product analytics and visualization tools (e.g., MixPanel, Amplitude, Looker, etc.)
  • Strong domain knowledge of the end-to-end online user funnel, including demonstrated ability to partner with Product Leaders to form questions and design supporting analysis
  • Demonstrated ability to manipulate, analyze, and interpret large amounts of data, organize findings, and translate into actionable insights
  • Quick learner, with the ability to work independently in a matrixed environment; adaptability and a strong self-teaching ethic are highly valued
  • Outstanding organizational, interpersonal (ability to influence without hierarchy) and communication skills
  • Functional and conversant understanding of technologies and the role they play in the delivery of digital consumer news products
  • Thrives in a fast-paced, dynamic and nimble environment which can pivot very quickly to capture opportunities from changing needs of the users and business.
  • Outstanding organizational, interpersonal (ability to influence without hierarchy) and communication skills
  • Strong work ethic, integrity and collaborative approach to work
  • Academic background in quantitative field such as mathematics, statistics, physics, computer science, or engineering preferred (advanced degrees a plus)
*Location is flexible for the right candidate.

Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.