Manager, Cyber Data Systems Engineering; Data and Analytics

Manager, Cyber Data Systems Engineering (Data and Analytics)

• Full-time
• Business Segment:
  Operations & Technology
• Compensation: USD 125,000 - USD 150,000 - yearly

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 ('Versant') 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, Golf Now, Golf Pass, and Sports Engine. 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.

NBCUniversal Cyber Security is seeking an experienced Engineering Manager to lead our Cybersecurity Data Systems team. This team builds and maintains scalable data platforms and services that power advanced threat detection, analytics, and security operations across the enterprise.

You’ll lead a team of software and data engineers focused on ingesting, transforming, and operationalizing high-volume security data. This is a hands‑on leadership role for someone who thrives in a fast‑paced environment and is passionate about building outcome‑driven, intelligence‑led cybersecurity capabilities.

• Lead and mentor a team of engineers responsible for cybersecurity data pipelines, SIEM integrations, and custom data acquisition tools.
• Oversee development of data parsers, normalization, and enrichment processes aligned to OCSF and other standards.
• Manage onboarding of third‑party data sources via API, including custom app and Lambda development.
• Support and optimize Splunk SIEM infrastructure and integrations.
• Design and manage cloud architecture and automation strategies to ensure reliability, scalability, and compliance.
• Collaborate with threat analytics, detection engineering, and investigations teams to improve alert fidelity and reduce false positives.
• Ensure systems meet regulatory and audit requirements (SOX, PCI, GDPR, CCPA).
• Support internal and external compliance efforts (NIST, ISO 27001, SOC
  2).
• Engage stakeholders across SOC, ISOs, and business units to understand evolving data needs.
• Provide Tier 3 support and subject‑matter expertise during high‑severity incidents.
• Drive Dev Ops practices including CI/CD, infrastructure as code, and automated testing.
• Lead sprint planning, delivery tracking, and cross‑functional collaboration across time zones.

• BS in Computer Science, Information Security, or related field (or equivalent experience).
• 5+ years in cybersecurity, data engineering, or software development.
• 5+ years in systems/infrastructure security with increasing responsibility.
• 2+ years in technical leadership or management roles.
• Hands‑on experience with cloud platforms (AWS, Azure) and Dev Ops practices.
• Strong experience with SIEM platforms (Splunk, Sentinel, etc.) and log integration across diverse systems.
• Proficiency in Python, Bash, or Power Shell.
• Experience with…