Manager, Data Product Management-DTC
$179,700–$241,000 year
On-siteNew York, United States
Job Summary
Lead and develop the team setting standards for direct-to-consumer data collection across Disney+ and Hulu. Own the data collection roadmap, sequencing by business need while driving execution and managing delivery risk. Write and review instrumentation solution designs for events, parameters, and schemas that feed analytics, experimentation, and machine learning downstream. Close coverage gaps before downstream teams using AI-assisted monitoring and move the team toward intelligent, contract-based instrumentation. Partner with Data Engineering, Product Engineering, and Business Operations on shared measurement goals, representing strategy to senior leaders. Manage performance and team standards while maintaining fluency with AI tools and deep technical depth in enterprise measurement platforms.
Required Qualifications
- 8+ years in data product management, data instrumentation, digital analytics implementation, or a closely related field
- Direct experience leading and developing teams in instrumentation, analytics, or measurement, accountable for performance and the team's standards
- Fluency with AI tools in your own work, and a track record of raising AI fluency across your team
- Strong product sense applied to measurement: you've owned strategy and roadmap with clear accountability for outcomes
- Deep understanding of first-party and third-party measurement across web, mobile, and connected devices, and how instrumentation choices affect downstream quality and trust
- Hands-on technical depth in instrumentation and analytics implementation on enterprise measurement platforms (AEP/CJA, Amplitude, or comparable), with recent hands-on application, not solely oversight
- Track record of cross-functional execution across Product Engineering, Product Management, Analytics, QA, and Program teams in matrixed organizations
- Proficiency in SQL and/or Python for data validation, troubleshooting, and analysis
- Clear communicator who can translate technical tradeoffs into business terms for any audience, including executives
- Bachelor's degree in Computer Science, Engineering, Business, Analytics, or a related field, or equivalent practical experience
Desired Qualifications
- Experience supporting DTC subscription or commerce products at scale: purchase, upgrade, cancellation, or account management analytics
- Experience building instrumentation for A/B testing and product experimentation at scale
- Data observability experience: monitoring pipelines for quality, freshness, and schema drift
- Strong understanding of data governance, privacy, and compliance (GDPR, CCPA) in analytics instrumentation
- Familiarity with the modern cloud data stack and how analytics data flows downstream
- Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience
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