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Sr. Director, Network Engineering

Ford

Sr. Director, Network Engineering

Ford

Dearborn, MI, United States, US

·

On-site

·

Full-time

·

4mo ago

We are seeking a strategic and hands-on Senior Director of Network Engineering to lead the design, deployment, and operational excellence of our enterprise network across global automotive manufacturing facilities. This role will manage a global team of six Directors of Platform Engineers (Direct reports) and an organization of 300+ people, focusing on modernization and platform-based network strategies to ensure robust, secure, and scalable LAN, WAN, wireless, and 5G networks that support mission-critical manufacturing operations. The ideal candidate combines deep technical expertise with leadership experience in complex, industrial, and operational technology environments.
 

  • Lead the network engineering organization responsible for LAN, WAN, wireless, and 5G-enabled networks across automotive manufacturing facilities globally.
  • Define and execute a strategic network platform roadmap aligned with manufacturing digitalization, Industry 4.0, IIoT, and edge computing initiatives.
  • Ensure network reliability, resiliency, and performance to support manufacturing operations, including OT/IT convergence.
  • Oversee network security and compliance across all sites in partnership with cybersecurity teams.
  • Implement network automation, monitoring, and observability frameworks to reduce operational toil and improve service quality.
  • Collaborate with manufacturing, IT, and supply chain leaders to translate business needs into network requirements.
  • Drive vendor and partner management, including evaluation, selection, and performance oversight of network service providers and technology vendors.
  • Mentor, grow, and lead a high-performing network engineering team, fostering innovation, accountability, and continuous improvement.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
  • 15+ years of network engineering experience, with at least 5 years in a leadership role managing large, global networks.

Preferred Qualifications:

  • Experience in automotive manufacturing or other industrial sectors with complex, multi-site networks.
  • Knowledge of Industry 4.0, IIoT, edge computing, and 5G-enabled manufacturing.
  • Experience implementing network as code frameworks or automation platforms in large-scale environments
  • Proven experience in network modernization and platform-based approaches in manufacturing or industrial environments.
  • Strong expertise across LAN, WAN, wireless (Wi-Fi 6/6E), SD-WAN, 5G, and network security.
  • Familiarity with industrial networking protocols (Ethernet/IP, etc.) and OT/IT convergence.
  • Experience with network automation and observability tools (Ansible, Terraform, NetOps frameworks, monitoring platforms).
  • Strong vendor management experience with Cisco, Palo Alto, or equivalent enterprise networking technologies.
  • Excellent strategic thinking, problem-solving, and leadership skills.
  • Strong communication skills, capable of influencing both technical and non-technical stakeholders.

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About Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

Employees

Dearborn

Headquarters

$48B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.9

Management

2.3

45%

Recommend to a Friend

Pros

Good pay and benefits

Decent work-life balance options

Learning and advancement opportunities

Cons

Poor management and favoritism

Mandatory overtime and exhausting schedules

Limited growth opportunities

Salary Ranges

36 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total / year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Phone Screen

2

Technical Interview

3

Behavioral Interview

4

Final Round Interview

Common Questions

Behavioral

Technical

Assessment