Sr. Manager, Data Engineering (MLOps) , NBCU Media Group

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.

Here you can be your authentic self. 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

Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. 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.

In this role, the Sr. Manager, Operations will share responsibilities in the development and maintenance of TechOps tooling and automation to optimize highly available data pipelines that facilitate deeper analysis and reporting by the business, as well as support ongoing operations related to the Direct to Consumer data ecosystem. The candidate will act as a liaison between data engineering and other teams, advocating for data-driven decision making and best operational practices.
 
Responsibilities include, but are not limited to:

•  Manage and mentor a high-performance team of ML and Data Engineers
• Collaborate with Data Science teams to transform experimental ML models into robust, production-ready applications, ensuring scalability, performance optimization, and minimal latency.
• Develop and maintain automated, observable, and secure data and model pipelines, embracing a "you build it, you run it" approach and focusing on automation and GitOps practices.
• Drive the evaluation and selection of technologies for MLOps, model monitoring, and CI/CD, ensuring alignment with organizational goals and industry best practices.
• Facilitate cross-functional agile ceremonies and story definition, ensuring that business stakeholders’ acceptance criteria are integrated effectively.
• Partner with Principal Engineers and Architects to contribute to and align with the broader technical vision for ML operations.
• Champion best practices within the ML Engineering team, continuously raising the bar on performance, efficiency, and reliability.
• Operationalize data processing systems and enable SRE practices for model observability and reliability in production.

Qualifications

• 7+ years of relevant experience in Machine Learning Engineering, Data Engineering, or MLOps, with a focus on operationalizing ML models in production.
• Proven leadership skills, with experience managing and mentoring ML or Data Engineering teams.
• Strong background in creating and maintaining data and model pipelines for a large-scale ML environment.
• Proficiency in designing scalable, distributed, and highly available systems using cloud platforms (Google Cloud or AWS preferred; AWS experience a plus).
• Expertise with orchestration and workflow tools such as Apache Airflow, and familiarity with CI/CD pipelines for ML models.
• Proficiency in one or more programming languages, such as Python, Java, or Scala, with experience in writing reusable and efficient code for automating ML processes.
• Hands-on experience with technologies like Kubernetes, Apache Spark, Snowflake, Databricks, or equivalent.
• Deep understanding of MLOps best practices, including model monitoring, serving, versioning, and automated retraining.

Desired Characteristics

• Strong understanding of Test-Driven Development, with a focus on creating automated tests for model validation and deployment.
• Experience with structured and unstructured data processing, including integration with diverse data sources (e.g., advertising metrics, consumer devices).
• Team-oriented with an aptitude for learning and adopting new technologies, tools, and best practices.
• Effective at fostering constructive dialogue and resolving complex issues in a collaborative, cross-functional setting.
• Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal

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: $140,000-$180,000 (bonus and LTI 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 AccessibilitySupport@nbcuni.com.