Manager, Data Product Management at The Walt Disney Company | USA | Rezi

Manager, Data Product Management at The Walt Disney Company

Manager, Data Product Management

The Walt Disney Company · USA

1 months ago

Manager, Data Product Management

The Walt Disney Company · USA

a month ago
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About the Role

Lead measurement and instrumentation across Disney's direct-to-consumer experiences, including Disney+ and Hulu. The data collection layer your team designs powers experimentation, data science, and personalization across the business, determining the trustworthiness of engagement and product health data used for decision-making. You will lead a team of Data Product Managers driving DTC instrumentation end-to-end, setting a high bar for exceptional measurement work and staying close to delivery risk.

Responsibilities

  • Lead and develop the team, setting the standard for DTC data collection and raising the bar across Product & Technology.
  • Own the DTC data collection roadmap across the Disney+ and Hulu product experiences, sequencing by business need and evaluating emerging capabilities.
  • Drive execution and stay ahead of delivery risk, balancing speed with long-term telemetry health.
  • Write and review instrumentation solution designs (events, parameters, schemas) that feed analytics, experimentation, and ML downstream.
  • Own data quality outcomes, closing coverage gaps before downstream teams do, increasingly through AI-assisted monitoring.
  • Move the team toward intelligent, contract-based instrumentation that scales coverage automatically and accelerates the engineering lifecycle.
  • Partner with Data Engineering, Product Engineering, Product Management, and Business Operations on shared measurement goals.
  • Represent the team's strategy to senior leaders across the company.

Requirements

  • 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.
  • 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.

Skills

  • AI tools
  • SQL
  • Python
  • Data governance
  • Privacy
  • Compliance (GDPR, CCPA)

Location

  • New York, NY, USA
  • San Francisco, CA, USA
  • Santa Monica, CA, USA
  • Bristol, CT, USA

Work Type

  • Full time

Experience Level

  • 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.

Education Level

  • Bachelor's degree in Computer Science, Engineering, Business, Analytics, or a related field, or equivalent practical experience.
  • Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience.

Salary/Compensations

  • New York City, NY: $179,700 - $241,000 per year
  • San Francisco, CA: $187,900 - $252,000 per year
  • Santa Monica, CA and Bristol, CT: $171,600 - $230,100 per year

Benefits

  • A bonus and/or long-term incentive units may be provided as part of the compensation package.
  • Full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About the Company

  • Disney+ and Hulu are direct-to-consumer experiences.
  • The company is referred to as #Disneytech.