Sr Manager Analytics Engineer

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West Hollywood, CA, US, 90069 New York, NY, US, 10036

Research

West Hollywood

Full-Time

On-Site

We’ve got the brands, we’ve got the stars, we’ve got thepowerto achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Paramount Streaming is a division of Paramount that encompasses both free, paid, and premium streaming services including Paramount+ and Pluto TV.

We are the Global Content and Lifecycle Analytics team, part of the Paramount Streaming, Data & Insights Group (DIG) team. DIG is a key connector among the Paramount Streaming verticals. The group has subject matter experts. They prototype, build, and scale data infrastructure and products. They assess, aggregate, and analyze data. They also create qualitative and quantitative narratives and insights. This work helps stakeholders make decisions, understand performance, and get business recommendations.

In this role you will develop and maintain scalable data pipelines. You will also build reliable core business reasoning. Additionally, you will ensure high data quality standards for content metadata. This includes titles, rights, taxonomy, and catalog data that support Paramount's streaming business.

You will work closely with analysts, data engineers, content operations, programming, licensing, and product teams. Your goal is to turn raw metadata feeds and content telemetry into consistent datasets, dashboards, and insights. These resources will support decision-making for Paramount+, Pluto TV, and Paramount's larger streaming portfolio. This role is ideal for someone who thrives at the intersection of engineering and analytics and wants to drive data excellence s role has people management responsibilities.

Pipeline Ownership:
Design, build, and maintain robust data pipelines. These pipelines will oversee content metadata, including titles, rights, licensing windows, genres, talent, franchise or series hierarchies, and availability. You will work closely with data engineering and analytics teams. Content Metadata Modeling:
Develop and refine reliable data models. These models will unify content metadata from different sources. This includes ingest, catalog management, licensing, and rights management systems. This will help with precise reporting at the title, franchise, and window levels.

Data Quality:
Work with software and data engineering teams. Ensure that metadata is complete and reliable. This includes catching issues such as duplicate titles, missing or conflicting rights windows, incorrect genre or talent tagging, and misclassified territories.

Performance Monitoring:
Contribute to anomaly detection systems and operational dashboards that track content catalog health, metadata completeness, and data quality KPIs.

Cross-functional Collaboration:

Work closely with analysts. Collaborate on projects. Share insights. Collaborate with the content operations team. Work with programming teams, licensing, and product managers. Your goal is to turn business needs into technical data solutions.

Tooling & Enablement:
Build scalable, performant datasets in platforms such as Databricks, Looker, and Snowflake to enable self-service analytics for content stakeholders. Documentation and Standards:
We support creating and maintaining clear technical documents. Set coding standards and data governance practices. Focus on metadata taxonomy standards and ensure content rights compliance.

Bachelor’s degree in economics, Statistics, Analytics, Computer Science, MIS, Data Engineering, or related field.

7+ years of experience in analytical engineering, data engineering, or data analytics with solid SQL and data modeling…