The Product and Technology Analytics team is looking for a Senior Manager to lead the Personalization, Programming and Search Analytics function supporting a growing ecosystem of Disney’s streaming service offerings (Disney+, Hulu, ESPN+).
The broader Product and Tech Analytics function partners closely with business teams to measure, understand, and provide insights across the Product and Programming teams. Our team excels in exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
This team collaborates cross-functionally across the Disney Streaming organization as well as with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analysis and plans. This role will build strong relationships and partner closely with Product, Business Operations, Engineering, Analytics, and Data Science teams to execute on innovative methods and best-in-class practices that power all of our improvements. The team’s work will drive the development of product and business plans that are expected to have broad influence at all levels of the organization.
Provide leadership and set strategic vision and direction for the Product & Tech Analytics team focused on personalization, programming and search
Manage relationship with stakeholders across the business, including but not limited to the Disney+, ESPN and Hulu Product teams as well as our Content Programming business partners
Partner closely with business stakeholders to develop short and long-term product roadmaps based on rigorous analytics
Lead a team of talented analysts at varying levels through quick analytics, anomaly detection, and product bug sizing and remediation
Develop and maintain core business logic, data pipelines, and key metrics for measuring health of the personalization, programming and search products across Disney+ & Hulu
Oversee the development of operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools
Drive team development through coaching, mentoring, training, and leadership growth
10+ years of relevant data analytics experience including domain expertise in the areas of personalization, programming and search
Bachelor's degree in Computer Science, MIS, Statistics, Economics, Mathematics Data Analytics or related field
Proven track record of building and leading teams of analysts, data scientists, or data engineers
Extremely skilled at simplifying complex problems, distilling data, and constructing compelling narratives to guide decision making
Excellent relationship building and communication skills with all levels of the organization, from junior analysts to C-suite leaders
Expertise working with extremely large, disparate data sets and using SQL for data wrangling, ETL design, and analysis
Experience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and tools
Experience building and scaling experimentation programs
Fluent in data exploration and visualization tools such as Looker and Tableau
Familiarity with advanced analytics methodologies such as anomaly detection, regression analysis, clustering, statistical inference, hypothesis testing, causal inference, and modeling techniques
Very comfortable translating highly technical analyses into easily understandable insights for non-technical stakeholders
Proven ability to rapidly grasp new technical systems and processes and partner effectively with highly technical product and engineering teams
Experience working with scripting languages such as Python or R
Experience in the streaming media industry and/or supporting a direct-to-consumer subscription-based product
Experience in the technology industry and knowledge of how to build and implement data products
Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
Experience operating in an SDLC environment and deploying code
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