1

Data Infrastructure Manager Jobs in New Jersey (NOW HIRING)

Overview A leader in the Infrastructure & Operations team, the Manager of Systems Operations ... Manages backup and recovery including data retention and reporting * Manages routine hardware and ...

Data Engineer

Whippany, NJ · On-site

$65 - $70/hr

Develop and manage cloudbased data infrastructure AWS Azure GCP. * Create and maintain technical documentation and data dictionaries. * Support troubleshooting debugging and performance tuning of ...

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed. * Implement ...

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed.Implement ...

Data Product Lead

New Brunswick, NJ · On-site

$150 - $200/hr

Partner with infrastructure/platform teams to ensure stable, secure, production-ready environments ... Deliver platform improvements with engineers/platform managers/product partners; share patterns ...

next page

Showing results 1-20

Data Infrastructure Manager information

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What are popular job titles related to Data Infrastructure Manager jobs in New Jersey?

For Data Infrastructure Manager jobs in New Jersey, the most frequently searched job titles are:

What cities in New Jersey are hiring for Data Infrastructure Manager jobs?

Cities in New Jersey with the most Data Infrastructure Manager job openings:

Senior Manager, AI Infrastructure and Networking

Verizon

Basking Ridge, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Verizon rating

7.8

Company rating: 7.8 out of 10

Based on 524 frontline employees who took The Breakroom Quiz

36th of 101 rated telecommunications companies


Job description

When you join Verizon
You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you'll be doing...
Verizon Business is seeking a highly motivated and experienced Senior Product Manager to join our AI Connect Infrastructure and Networking Product team. As a key driver of Verizon's AI Connect growth strategy, you will be responsible for scaling product adoption and ecosystem integration across the AI infrastructure value chain-including hyperscalers, GPU cloud providers, data center developers and operators, colocation providers, real estate partners, OEMs, and other emerging AI infrastructure companies. You will be focused on scaling networking products within hyperscale or high-performance computing environments designed for AI. You will own the growth funnel from initial market identification to commercial scale: optimizing product-market fit, driving platform adoption, structuring scalable commercial frameworks, and collaborating cross-functionally with product, network engineering, finance, and legal teams to ensure every growth initiative is commercially sound and technically deliverable.
Key Responsibilities:
  • Growth Strategy & Execution: Lead the 0-to-1 growth lifecycle to ensure alignment with AI Connect revenue objectives. Drive product-market fit from initial market mapping and target identification through commercial launch and active revenue expansion.
  • Data-Driven Market Growth: Conduct thorough analysis of the AI infrastructure landscape, including data center construction pipelines, power availability, GPU deployment trends, fiber route economics, and interconnection dynamics. Leverage these insights to optimize the product go-to-market funnel, inform growth strategy, and prioritize high-value segments.
  • Ecosystem Product Strategy: Define and manage the growth roadmap across hyperscalers, data center and colocation operators, real estate partners, OEMs, and emerging AI infrastructure companies. Identify product white space to build scalable solutions that convert Verizon's fiber footprint, optical services portfolio, and AI-ready facilities into recurring infrastructure revenue.
  • Growth Modeling & Commercialization: Develop scalable commercial models spanning optical and fiber-based services, such as Wavelength Services (10G/100G/400G+), optical extensions, programmable network fabric, data center interconnection, and AI-ready facility partnerships. Establish pricing constructs, capacity commitments, and route-specific terms optimized for rapid market adoption and platform stickiness.
  • Cross-Functional Collaboration: Collaborate effectively with Product, Network Engineering, Finance, Legal, and Sales teams to shape offers and deal terms, and to ensure seamless execution from signature through delivery.
  • Stakeholder Management: Communicate effectively and manage expectations with business sponsors, company executives, external partners, and customers, acting as a credible and technically fluent representative of Verizon AI Connect at the most senior levels.
  • Performance Measurement: Establish and track key performance indicators (KPIs) - pipeline value, signed contract value, revenue conversion, and partner health - to measure partnership success and inform continuous improvement.
  • Technology & Market Fluency: Possess a strong understanding of fiber products, services, and network fabric - including optical networking (DWDM), Wavelength Services, optical extensions, low-latency routing, and programmable, API-driven network fabric - along with data center fundamentals (power, cooling, density, interconnection) and the traffic patterns of AI workloads, including east-west requirements for training and data center interconnection and north-south requirements for enterprise inference. Stay ahead of the curve on emerging AI infrastructure trends to keep Verizon's strategy competitive.
  • Business Strategy:Define partnership business models, pricing strategies, target segments, execution plans, and financial business cases for AI Infrastructure and Networking opportunities.
  • Content Creation: Develop compelling partner-facing collateral, business cases, and executive presentations for internal and external stakeholders.

What we're looking for...
You'll need to have:
  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
  • Six or more years of relevant experience in technology and/or telecommunications.
  • Demonstrated understanding of the AI infrastructure market, including fiber networks and optical services, data centers, colocation, and interconnection.
  • Experience originating, structuring, negotiating, and closing large, complex, multi-year commercial or partnership agreements - from inception to signing.
  • Experience with business models and/or business cases for infrastructure or connectivity services.
  • Experience with Business-to-Business partnerships, enterprise sales, or corporate development.
  • Willingness to travel up to 25% of the time.

Even better if you have one or more of the following:
  • An MBA and/or Bachelor's degree in Business, Engineering, Computer Science, or a related field.
  • Experience in a high-growth company or business unit, scaling a new product, partnership program, or revenue stream from early stage to significant scale.
  • Direct experience in data center development, fiber optic network development, or colocation - on either the operator or buyer side.
  • Existing senior-level relationships within hyperscale cloud providers, GPU/neocloud platforms, data center developers/operators, colocation providers, real estate/infrastructure investors, or AI infrastructure OEMs.
  • Working technical fluency in fiber and optical products and services - Wavelength Services, optical extensions, DWDM, network fabric, and low-latency routing - and data center infrastructure (power, cooling, interconnection) sufficient to lead credible conversations with network architects and infrastructure executives.
  • Familiarity with programmable and software-defined network services - API-driven provisioning, dynamic bandwidth, network-as-a-service, and self-service portals - and how they differentiate connectivity offerings for AI infrastructure customers.
  • Familiarity with AI workload networking requirements, including east-west traffic for GPU cluster interconnection, distributed training, and data center interconnection, and north-south traffic for enterprise inference and AI application delivery.
  • Experience structuring wavelength, interconnection, or data center connectivity transactions on the buy side or sell side.
  • Excellent verbal and written communication skills with the ability to articulate complex infrastructure concepts to diverse audiences, including C-level executives.
  • Strong financial acumen: ability to build and defend business cases, pricing models, and multi-year revenue commitments using solid ROI analysis.
  • Experience navigating large, matrixed organizations and building internal coalitions to get complex deals approved and delivered.
  • Ability to manage multiple, competing priorities simultaneously.
  • Experience leading or participating in industry panel discussions.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.
Where you'll be working
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $128,000.00 - $245,000.00.
The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $140,500.00 - $245,000.00.
The annual salary range for the Maryland location(s) listed on this job requisition based on a full-time schedule is: $140,500.00 - $245,000.00.
The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $140,500.00 - $245,000.00.

What Verizon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom