Manager, Business Intelligence, Prime Video Trust & Safety Ops

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment

Prime Video Trust & Safety (T&S) is responsible for ensuring that every title in our catalog meets the highest standards of content classification maturity ratings and regulatory compliance across hundreds of territories worldwide. We operate at massive scale managing millions of titles while balancing accuracy speed and cost efficiency.

We are looking for a Leader Business Intelligence and Analytics to transform and scale our BI function to meet the demands of a rapidly evolving operating this role you will own the full BI stack for Trust & Safety: from building foundational data infrastructure and establishing our T&S Datamart to instrumenting products for telemetry to delivering self-service dashboards and analytics that drive operational decision-making. You will lead a team of 6 analysts and partner closely with Product Engineering Policy and Programs to ensure data is a strategic asset not just a reporting function.

This is a role for a builder. You will inherit a foundation and transform it into a scalable automated and trusted analytics platform.

You will need to Dive Deep into complex data ecosystems Invent and Simplify to reduce friction for stakeholders Earn Trust through data quality and reliability and be Right a Lot by making high-quality decisions with imperfect information.

Key job responsibilities
Own and scale the end-to-end BI stack for Trust & Safety including data pipelines data modeling warehousing instrumentation and reporting
Establish and maintain the Trust & Safety Datamart as the single source of truth for operational metrics coverage accuracy speed and cost-to-serve
Design and implement instrumentation strategies within T&S products to capture meaningful telemetry that powers both operational visibility and strategic insights
Build self-service dashboards reporting frameworks and analytics capabilities that enable stakeholders across Product Engineering Policy and Programs to make data-driven decisions independently
Define and enforce data quality standards governance practices and documentation to ensure trust in the data across the organization
Lead mentor and grow a high-performing team of 6 analysts fostering a culture of ownership technical excellence and customer obsession
Partner with Engineering teams to influence system design and ensure data capture requirements are integrated into product architecture from the ground up
Develop scalable data models that support both current operational reporting and future analytical needs as the organization increases its automation footprint
Drive efficiency through automation of recurring reporting data validation and pipeline monitoring
Translate complex data into clear narratives and actionable recommendations for senior leadership enabling strategic investment decisions

- 10 years of business intelligence and analytics experience
- 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience
- Experience in data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding
- Bachelors degree in engineering statistics computer science mathematics or a related quantitative field
- Experience programmatically testing products measuring test coverage developing the best automation driving testability and diagnostic

- Masters degree in computer science machine learning engineering or related fields or experience including building and maintaining data flows and pipelines
- Experience working with industry tools and analytics packages including web analytics targeting testing CRM and marketing automation platforms
- Knowledge of real-time or near-real-time data architectures and streaming data systems. Experience with infrastructure-as-code and CI/CD for data pipelines.

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