Job Summary
Disney Streaming is seeking an experienced and strategic Senior Manager, Product & Technology Analytics to lead our Product Performance and Forensics Analytics team. This team plays a critical role in evaluating product health, ensuring data integrity, and delivering actionable insights that influence product development and executive decision-making.
You will lead a multidisciplinary team of analysts and analytical engineers responsible for assessing and improving browse telemetry data quality and producing high-impact analysis of streaming product performance across Hulu and Disney+. Working cross-functionally with Product, Engineering, Data Engineering, and Analytics partners, you will help develop scalable solutions, ensure metric consistency, and uncover the “why” behind key product trends and anomalies.
Responsibilities
Strategic Leadership: Set the vision and priorities for a high-impact analytics team focused on product telemetry, anomaly detection, and performance reporting. Data Quality & Instrumentation: Partner with engineering and data engineering teams to monitor, validate, and improve the quality of browse telemetry and event instrumentation. Product Performance Reporting: Lead the creation and ongoing development of core performance metrics, executive dashboards, and deep-dive analyses on user behavior and platform engagement. Cross-functional Collaboration: Act as a trusted advisor to Product, Engineering, and Business stakeholders across Disney+, Hulu, and ESPN to influence product roadmaps and feature prioritization. Forensics & Root Cause Analysis: Drive rapid-response investigations and anomaly detection efforts to diagnose data or product issues and guide timely remediation. Data Infrastructure: Oversee the development and maintenance of scalable data pipelines and business logic to support consistent, reliable reporting. Tooling & Enablement: Deliver intuitive self-serve dashboards and analytics tools using Looker, Tableau, and Databricks to democratize data access. Team Development: Hire, mentor, and grow a diverse team of analysts and analytical engineers, fostering a culture of curiosity, collaboration, and excellence.
Required Qualifications
Bachelor’s degree in Statistics, Data Science, Computer Science, Economics, or a related field 10+ years of experience in data analytics, data engineering, or analytical engineering, including at least 3 years managing technical teams. Proven ability to lead multifunctional teams and drive strategic impact through data. Deep fluency in SQL and experience with large-scale, distributed data systems (e.g., Databricks, Snowflake, Redshift). Strong business intuition and ability to translate technical analysis into clear, actionable insights for stakeholders at all levels. Expertise in exploratory data analysis, anomaly detection, and root cause investigation. Proficiency with data visualization and reporting tools (e.g., Looker, Tableau, Databricks). Strong understanding of product telemetry, user funnel analysis, and operational monitoring. Demonstrated experience building and maintaining scalable data products or pipelines. Exceptional communication skills, both written and verbal.
Desired Qualifications
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
#DISNEYANALYTICS
#DISNEYTECH
The hiring range for this position in Santa Monica is $152,200 - $204,100 per year and in New York is $159,500 - $213,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.