Senior Manager, Data Platform Operations

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we'll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

NBCUniversal is seeking a Senior Manager to join the Data Platform Operations team within our Measurement and Data Collaboration organization in the Global Advertising & Partnerships division.

This team builds and scales systems that enable secure, privacy-first data collaboration utilizing a variety of methods including file-based server to server integrations and data clean rooms such as Snowflake Samooha and Habu.  These integrations help inform digital ad measurement and/or optimization with collaborators such as measurement vendors, agencies, advertisers, Retail Media Networks (RMNs), and Customer Data Platforms (CDPs).

Our mission: To power NBCUniversal’s suite of measurement and optimization products through state-of-the-art data clean room platforms.

As an ideal candidate, you will have strong technical expertise in Snowflake, Python, Streamlit and AI-driven automation combined with a deep understanding of ad tech and data collaboration workflows.

As a Senior Manager, you will:

• Lead the development of automation solutions, partner integrations, and internal tools to enhance our collaborative measurement infrastructure.
• Work closely with Product teams, external partners, and your peers to deliver scalable solutions that drive impactful business outcomes in ad sales. 

Duties and Responsibilities:

• Design and implement automation solutions to streamline operational workflows, including clean room operations, server-to-server integrations, and ad exposure data pipelines.
• Build internal RAG-based systems to enhance data collaboration operations with AI-enhanced insights.
• Collaborate with Product teams to gather requirements and develop scalable integrations with external partners, including measurement vendors, agencies, advertisers, RMNs, and CDPs.
• Develop and maintain efficient, secure, and scalable data pipelines using Snowflake and Python, with an emphasis on performance, governance, and privacy.
• Lead high-impact initiatives with autonomy while mentoring junior developers and promoting engineering excellence.

Qualifications

• 6+ years of experience in software development or data engineering.
• Bachelor's or master's degree in computer engineering or a related field like Data Science.
• Advanced proficiency in Python and SQL, including performance tuning, advanced data modeling, query optimization for cloud compute environments, orchestration of batch and streaming workloads, and scalable data pipeline development
• Demonstrated ability to build and maintain data pipelines, automation tools, and integration systems.
• Familiarity with GitHub workflows, CI/CD, and infrastructure-as-code practices.

Preferred Qualifications:

• Understanding of the digital advertising ecosystem: media platforms, programmatic