Sr Product Manager- Data product management, instrumentation, telemetry

About the role

The Data Product team is seeking a Senior Product Manager I to drive data collection outcomes across Disney’s DTC streaming products. Data Product bridges the analytics and product teams who depend on high-quality behavioral data and the engineering teams who implement the systems that capture it — and this role sits at that intersection for Disney’s streaming portfolio.

Responsibilities and Duties of the Role

• Define analytics instrumentation across Disney's DTC streaming products, accountable for data completeness, accuracy, and quality.
• Convert product requirements and business questions into precise telemetry specs — events, parameters, identifiers, schemas — that engineering teams can implement consistently.
• Drive instrumentation from discovery through solution design, implementation, validation, and launch, coordinating across Product Engineering and Platform teams.
• Work closely with engineering to ensure telemetry is implemented correctly, performs reliably, and aligns with platform standards.
• Proactively identify telemetry gaps and risks and drive resolution through sharper requirements and tight engineering collaboration.
• Ensure telemetry reliably supports experimentation frameworks, personalization, and downstream analytics through consistent, documented behavioral signals.
• Use data to audit telemetry health and downstream usage, and inform future instrumentation decisions.
• Improve documentation, share learnings, and help evolve instrumentation schemas and patterns across the team.

Basic Qualifications

• 5+ years in analytics instrumentation, telemetry, data product management, or a closely related technical discipline
• Hands-on experience designing event-based data models and telemetry schemas — including event taxonomies, parameters, identifiers, and data contracts — for web, mobile, or connected TV
• Ability to translate product requirements and business questions into precise, actionable telemetry specifications that engineering teams can implement consistently
• SQL fluency and comfort working in cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent) to validate telemetry quality and drive your own analysis
• Experience driving cross-functional instrumentation delivery across Product Engineering and platform partners
• A bias for action and comfort with ambiguity — you make progress without a fully defined playbook and close open questions rather than waiting for resolution
• You use AI-enabled tools as an accelerant — to move faster, validate smarter, and solve problems more completely
• Clear written communication: crisp technical specs, accessible explanations for both engineers and business stakeholders, and the ability to build trust across functions

Preferred Qualifications

• Experience in streaming, media, or direct-to-consumer subscription products and an understanding of how behavioral signals map to product and business metrics
• Familiarity with first-party telemetry infrastructure and how data flows from collection through analytics, experimentation, and personalization
• Experience supporting experimentation frameworks (A/B testing, feature flagging) through high-quality behavioral telemetry
• Understanding of privacy, consent, and identity considerations in first-party data collection (GDPR, CCPA) and their practical implications for instrumentation design
• Ability to improve or standardize telemetry schemas, instrumentation patterns, or documentation practices across product teams
• Familiarity with event-driven architectures or streaming data infrastructure and their relationship to telemetry quality

Required Education

• Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience.