Technical Program Manager 6 - Games Data Science & Engineering
$420,000–$630,000 year
Remote · United States
Job Summary
Drive end-to-end programs for Games Platform DSE initiatives, including telemetry instrumentation, data pipeline development, metrics infrastructure, and the systems that power game quality and performance measurement. Partner with data engineers, platform engineers, and product teams to build and ship foundational data capabilities for games across TV, mobile, web, and cloud. Manage cross-functional dependencies between Games Platform engineering and Games DSE, ensuring teams are unblocked and aligned on deliverables. Create visibility into program health through high-quality written communications and structured reviews. Enable Studio Analytics and Data Partnerships by serving as the TPM interface between Games DSE and game studio partners, shaping analytics tooling from concept to launch. Lead experiments infrastructure programs, including A/B testing frameworks and holdout methodology, translating measurement strategy into actionable programs with clear milestones. Develop a deep understanding of the Games data architecture, telemetry ingestion, and data warehouse patterns to identify risks and evaluate trade-offs. Represent Netflix’s culture and values in leadership and collaboration, while supporting a remote-ready US-based team with core working hours in PST and occasional on-site engagements.
Required Qualifications
- Experience delivering complex multi-stakeholder programs in data engineering, data science, or analytics-adjacent domains
- Technically fluent with data pipelines, telemetry architectures, experimentation frameworks, and analytic tooling
- Strong written program updates for engineers and readable executive summaries for leadership
- Proven ability to map dependencies across platform, studio, and cross-functional data teams and drive clarity in ambiguous paths
- Experience collaborating with data engineers, data scientists, platform engineers, and game studio teams
- Familiarity with experimentation platforms and A/B testing methodology
- Experience supporting game development or game analytics in a studio, platform, or publisher context
- Comfort working across multiple game platforms (mobile, TV, cloud/web) and with developer-facing tools
- Ability to leverage GenAI tools to accelerate work
Desired Qualifications
- Experience delivering complex multi-stakeholder programs in data engineering, data science, or analytics-adjacent domains
- Technical fluency to engage with data engineers and scientists
- Systems thinker who can map dependencies across platform, studio, and cross-functional data teams
- Strong written and verbal communication for engineers and leadership
- Proactive risk identification and solution-focused mindset
- Inclusive mindset and ability to work across diverse teams
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