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 EngineersCollaborate 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.