Sr Manager, Data Engineering

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

As part of the global Operations & Technology organization, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties.

As the Sr Manager of Data Engineering, you'll lead exciting technical projects and manage budgets from start to finish, while transforming our internal engineering teams into efficient, scalable, and reliable forces. You're perfect for this role if you have a background in proactively removing impediments from the group, understanding the importance of clear communication, and is able to provide relevant reporting at both the team and executive level. Here you can create the extraordinary. Join us!

Responsibilities:

• Thinking like a Data Engineer to help discover, design & build Data Engineering initiatives
• Manage and mentor a team of data engineers and managers to foster a culture of collaboration, innovation, and continuous learning.
• Manage budgets, vendors, resources & delivery of large, high-impact programs aimed at improving operational efficiencies for Data Engineering.
• Develop close working relationships with stakeholders to identify functional requirements for the data lakes, data warehouse, reports, and final data products.
• Ensure all technical projects are understood, documented, and progressing with complete visibility of all budgets, timelines, status, progress, dependencies, risks, opportunities, etc.
• Ensure all work is captured, vetted, planned, and tracked within JIRA, according to established practices
• Help the product teams and development teams achieve their goals aligned with program roadmaps and initiatives
• Lead development teams in self-organization, time, budget management and workload balance
• Define project roadmaps: ensure all milestones are met, risk is communicated, and data quality is never compromised.
• Prioritize department project work, delegate responsibilities effectively and ensure accountability
• Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies.
• Collaborate with the IT platform, infrastructure, and architecture teams in introducing and integrating new analytics/data tools into the organization.
• Participate in the department’s data governance initiatives: assist in developing, promoting, and enforcing documentation, data standards and quality in the Data & Analytics programs.
• Organize and socialize metadata resources, such as data lineage documents, data mappings, data dictionaries, training documents, knowledge base/wiki, etc.
• Coordinate final production releases with project team, platform teams, business team ensuring communications, relea