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 

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