Cybersecurity Platform Engineering Manager

Ford Motor Company is seeking a Cybersecurity Platform Engineering Manager to lead and scale a team of Risk Engineers focused on engineering risk-reducing solutions. The role involves people leadership, technical direction, and ensuring that risk intent is translated into practical, automated, and measurable solutions.

Responsibilities:

• Manage, coach, and develop a team of Risk Engineers with diverse technical skill sets
• Set clear expectations for technical rigor, ownership, and outcomes
• Build a high-performing culture that values engineering excellence, accountability, and collaboration
• Support career development, performance management, and succession planning
• Establish and maintain technical direction for how risk is engineered into platforms, architectures, and pipelines
• Ensure risk requirements are consistently translated into implementable solution patterns, not just documentation
• Prioritize work based on risk reduction value, system criticality, and recovery dependencies
• Review and challenge designs to ensure controls are effective, automatable, and evidence-driven
• Partner with cloud, platform, security, and SRE leaders to embed risk controls directly into engineering workflows
• Balance near-term risk mitigation with long-term architectural resilience
• Represent Risk Engineering in senior forums, articulating tradeoffs and decisions with clarity and credibility
• Ensure teams deliver outcomes that measurably reduce risk—not just activity

Requirements:

• 10+ years in IT operations & engineering, security engineering, SRE, or technical risk roles
• 5+ years managing engineers or technical practitioners in a large enterprise
• Demonstrated success leading teams to deliver large scale technical solutions as code, in order to seize opportunity and/or to address risk
• Solid understanding of how risk manifests in technology, especially cloud, distributed systems, identity, and recovery architectures
• Proven ability to influence across organizational and functional boundaries
• Strong familiarity with cloud platforms (GCP preferred)
• Site Reliability Engineering practices
• Translating observability signals into actionable insights
• Backup, recovery, and resilience implementation architectures
• ITIL-based IT Service Management (ITSM)
• Everything as Code
• Infrastructure as Code (Terraform)
• Automation and configuration management (Ansible)
• Scripting or programming (Python)
• CI/CD pipelines and policy-as-code
• Familiarity with Cloud IAM, networking, and control planes
• GRC Platforms: Archer, ServiceNow
• Agentic AI Implementations
• Comfortable reviewing designs, architectures, and automation produced by the team
• Able to ask the right technical questions—even if not writing code daily