Sr Manager Analytics Engineer

Paramount; New York (NY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Benefits package

Generous PTO

On-site & virtual events

Job summary

Paramount, a renowned entertainment company, is seeking a Sr. Manager Analytics Engineer for Content Data to lead scalable data pipelines and core metadata models supporting Paramount’s streaming services.

You will collaborate with analytics, engineering, content operations, licensing, and product teams to deliver trusted datasets, dashboards, and insights at scale. The role emphasizes data governance, production-grade data solutions, and leadership across cross-functional teams within Paramount

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.
• 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 (Snowflake, Redshift, BigQuery).
• Proficiency with BI tools such as Looker and Tableau, including building curated data layers and performance tuning.

Responsibilities

• Pipeline Ownership: Design, build, and maintain scalable data pipelines managing content metadata.
• Content Metadata Modeling: Develop reliable data models unifying content metadata from different sources.
• Data Quality: Ensure metadata completeness, precision, and consistency across systems.
• Performance Monitoring: Contribute to dashboards tracking catalog health and KPIs.
• Tooling & Enablement: Build scalable datasets in Databricks, Looker, and Snowflake for self-service analytics.
• Documentation & Standards: Lead technical documents, coding standards, and data governance practices.

Skills

SQL

Data modeling

Python

Unit testing

Documentation

Data governance

ETL/ELT

Stakeholder management

Education

Bachelor’s degree

Tools

Databricks

Airflow

Spark

Snowflake

Redshift

BigQuery

Looker

Tableau

Job description

#WeAreParamount on a mission to unleash the power of content… you in? We’ve got the brands, we’ve got the stars, we’ve got the power to 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.

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.

What We Offer:

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.