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Netops Jobs in New York (NOW HIRING)

Broadcom

Solution Engineer - ValueOps

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expand and learn about other enterprise software management solutions for NetOps and Automation by working with some of the top domain experts on your team. * Gain valuable experience and develop ...

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$54.7K

$95K

$163.6K

How much do netops jobs pay per year?

As of Aug 17, 2026, the average yearly pay for netops in New York is $95,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $103,900.00 per year, depending on experience, location, and employer.

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Infographic showing various Netops job openings in New York as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,009 per year, or $45.7 per hour.

Head of Network Operations (NetOps) Analytics and Automation

Texas State Library and Archives Commision

Jersey City, NJ • On-site

Full-time

Re-posted 28 days ago

Job description

Position Summary
The Head of Network Operations (NetOps) Analytics and Automation will lead the transformation of our global Network Operations function through advanced analytics, AI-driven insights, and automation solutions. This strategic leadership role will be responsible for developing and executing a comprehensive roadmap to improve network reliability, performance, and efficiency while reducing operational risk.
You will lead a global team of analysts and engineers to deliver innovative solutions in centralized reporting, AI/ML observability, and self-healing automation that enhance agility and minimize downtime.
Key Responsibilities
  • Develop, maintain, and execute a comprehensive analytics and automation strategy aligned with business and technology objectives.
  • Drive automation-first strategies that reduce manual effort and enhance operational reliability.
  • Lead and mentor a global high-performing team of analysts and software engineers.
  • Ensure compliance with regulatory, security, and industry standards across network automation initiatives.
  • Define and track Key Performance Indicators (KPIs) and Service-Level Objectives (SLOs) to measure effectiveness.
  • Build and manage teams, including talent development, workforce strategy, and performance management.
  • Promote design, engineering, and Agile practices across technology delivery.
  • Manage relationships with business and technology partners, fostering cross-functional collaboration.
  • Champion an inclusive and collaborative culture that drives innovation and continuous improvement.
Managerial Responsibilities
At Client, managers demonstrate the following leadership qualities:
  • Opportunity & Inclusion Champion - Model inclusivity for employees and clients.
  • Process & Data Manager - Drive operational excellence through simplicity and data-driven decision making.
  • Enterprise Advocate & Communicator - Align team goals with enterprise strategy.
  • Risk Manager - Ensure proper controls, discipline, and culture are in place.
  • People Manager & Coach - Provide coaching, feedback, and development opportunities.
  • Financial Steward - Manage budgets effectively and responsibly.
  • Talent Leader - Build bench strength and succession readiness.
  • Driver of Business Outcomes - Deliver results through prioritization and effective delegation.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related discipline.
  • 15+ years of experience in technology leadership roles.
  • Deep expertise in network automation, analytics, and AI/ML-driven automation.
  • Strong knowledge of:
    • Network protocols & technologies
    • Automation tools (Terraform, Itential, NetDevOps)
    • Observability & analytics (Splunk, AI/ML platforms)
    • Programming & development (Python, ReactJS, Django)
    • Databases (MySQL, Redis)
  • Proven track record of building and leading global high-performing teams.
  • Experience in custom application development, advanced analytics, and data science.
  • Excellent communication, stakeholder management, and problem-solving skills.

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