Senior Manager Analytics Engineer, Content Data

Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.

Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.

If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!

Sr. Manager Analytics Engineer, Content Data 

Req - 46420

Overview and Responsibilities

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 includes experts who create and improve data systems and products. They evaluate, combine, and analyze data. They develop insights and stories from both qualitative and quantitative data. Their work helps stakeholders make decisions. It also helps them understand performance and receive business recommendations.

Role Details

In this important role, you will develop and maintain scalable data pipelines. You will build reliable core business reasoning. 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 convert basic metadata feeds and content data into reliable datasets, dashboards, and insights. These will support decision-making for Paramount+, Pluto TV, and other Paramount streaming services.

This role is ideal for someone who thrives at the intersection of engineering and analytics and wants to drive data excellence at scale. This role has people management responsibilities.

Responsibilities

Pipeline Ownership: Design, build, and maintain scalable data pipelines. These pipelines will manage content metadata like titles, rights and licensing windows, genres, talent, franchise or series hierarchies, and availability. You will work with data engineering and analytics teams. Content Metadata Modeling: Develop and improve reliable data models. These models will unify content metadata from different sources. This includes ingest, catalog management, licensing, and rights management systems. They will support detailed reporting. This reporting will be at the title, franchise, and window levels.

Data Quality: Collaborate with software and data engineering teams. Make sure the metadata is complete, precise, and consistent. This involves identifying 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. Collaboration across functions is important. You will work closely with analysts. Collaborate with content operations, programming teams, licensing, and product managers. You will translate 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 & Standards: Lead the creation and maintenance of clear technical documents. Set coding standards and practices for data governance. Focus on metadata taxonomy standards and ensure compliance with content rights.

Basic Qualifications

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 expertise.

Deep knowledge of ETL/ELT principles, data architecture, and performance optimization. Proven experience building scalable data products and pipelines using tools such as Databricks, Airflow, Spark, or similar platforms. You should have direct experience with modeling and maintaining content metadata pipelines. This includes working with title catalogs, rights and windowing data. You should also be acquainted with genre and talent taxonomies, or similar structured data in entertainment or media. Proficient ability to collaborate with both technical and non-technical stakeholders to deliver high-impact data solutions.

Fluency in building and maintaining production-grade datasets in cloud-based data environments (e.g., Snowflake, Redshift, BigQuery). Proficiency with BI tools such as Looker and Tableau, including building curated data layers and performance tuning. Solid data hygiene practices, including version control, code reviews, unit testing, and documentation. Exemplary problem-solving skills and attention to detail, especially when reconciling metadata inconsistencies across systems.

Additional Qualifications

Experience working with content rights and licensing data, including availability windows, territory restrictions, and content lifecycle management. Knowledge with content taxonomy and classification systems used in entertainment or media. Proficiency in Python or another scripting language for data transformation or orchestration.

Knowledge with streaming media or direct-to-consumer digital products.

Experience implementing anomaly detection systems or contributing to root cause investigations for metadata issues. Knowledge of data governance and compliance best practices as they relate to licensed content.

#LI-RJ1

About SkydanceSkydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.

Skydance is an equal opportunity employer (EOE)

We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.

If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [email protected]. Only messages left for this purpose will be returned.