Senior Manager, Data Analytics

This is a Full Time Job

Location: Santa Monica, California, United States; New York, New York, United States

Job Summary:

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.