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Manager, Data Pipelines – Media Analytics & Engineering image - Rise Careers
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Manager, Data Pipelines – Media Analytics & Engineering

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. 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.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

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.

Job Description

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

This critical role is embedded in the NBCU Media Group Decision Sciences team and partners closely with a large team of strategic and data-focused media analytics professionals, advanced analytics teams, data engineering specialists, and marketing leadership. The Manager, Data Pipelines will focus on Media Data Access and Media Data Engineering, supporting all media aspects of the NBCU Media Group, including Peacock and Linear channels. The primary focus is ensuring robust and scalable data pipelines, optimizing access to media data, and surfacing insights into paid media performance via techniques such as MMM and MTA to drive growth-maximizing decisions.

Responsibilities

  • Lead the design, development, and maintenance of scalable, secure media data pipelines, ensuring seamless data access and high data quality for analytics and business decision-making.
  • Partner with engineering and analytics teams to integrate new data sources, including media platforms, conversion APIs, and third-party tools such as funnel.io, enabling comprehensive media data aggregation.
  • Develop and manage stakeholder-facing user interfaces that democratize access to media data and empower business users to derive actionable insights.
  • Drive project management for all media data engineering initiatives, ensuring on-time delivery, cross-team alignment, and effective prioritization of resources, including coordination with offshore contractors.
  • Collaborate closely with marketing analytics and decision sciences teams to support advanced media measurement strategies, including Marketing Mix Models (MMM), Multi-Touch Attribution (MTA), and experimentation frameworks.
  • Implement and monitor data governance best practices to maintain data integrity, privacy, and compliance across all media data flows.
  • Act as a key point of contact for stakeholders, translating complex technical concepts into accessible business terms and driving adoption of new data-driven capabilities.
  • Continuously evaluate, recommend, and implement new technologies and architectures that improve pipeline efficiency, scalability, and reliability.

 

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Deep understanding of media data, including structure, sources, and business applications in the context of marketing, digital, and linear media platforms.
  • 4+ years of hands-on experience designing and operating data pipelines in a media or marketing analytics environment.
  • Proven experience working with cross-functional data engineering and analytics teams, both onshore and offshore.
  • Demonstrated expertise in building and managing conversion APIs and integrating with tools such as funnel.io for marketing data ingestion.
  • Strong project management skills, with a track record of delivering complex data engineering projects on time and within scope.
  • Mastery of at least one major business insight or BI tool (Looker, Tableau, PowerBI, or equivalent), including dashboard design and deployment.
  • Strong communication, presentation, and interpersonal skills, with the ability to influence cross-functional stakeholders and leadership.
  • Working knowledge of marketing analytics methodologies, including MMM, MTA, and experimentation, and experience collaborating with analytics teams on these initiatives.
  • Proficiency in SQL, as well as experience with modern data pipeline technologies (e.g., Python, Airflow, DataBricks, Snowflake, BigQuery).
  • Familiarity with data governance, data privacy, and security best practices as applied to media and marketing data ecosystems.
  • Strong sense of accountability, curiosity, and an innovative mindset, with the ability to thrive in a fast-paced, evolving environment.
  • NBCU is committed to fostering an inclusive and empowering environment where every team member is valued and given the opportunity to contribute to world-class media experiences. If you are passionate about unlocking the power of media data, optimizing data engineering practices, and leading collaborative teams, we encourage you to apply.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.

Salary range: $100,000 - $160,000 (bonus and long-term incentive eligible)

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

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We are in business to create and deliver content so compelling it entertains, informs and shapes our world. We believe that the talent, creativity and diversity of our people are our greatest resources. We take our business seriously, but do no...

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Full-time, hybrid
DATE POSTED
August 29, 2025
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