AI-Driven Technical Portfolio Security Lead

Lincoln Motor Company

Stati Uniti

Remoto

USD 142.000 - 268.000

Tempo pieno

8 giorni fa

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Vantaggi offerti da questo lavoro

Medical, dental, vision coverage

Parental leave

Back-up child care

Vehicle discount program

Tuition assistance

Employee resource groups

Paid time off

Descrizione del lavoro

Ford Motor Company is seeking a Technical Program Leader to own the integrated plan for a modernization program across 5,000+ assets, applications, and SaaS platforms, coordinating workstreams, milestones, and issue resolution.

You will define AI-enabled assessment and remediation processes, establish governance across technology and risk stakeholders, and lead complex, enterprise-scale programs in cybersecurity, IT, and portfolio management.

Competenze

Bachelor’s degree in computer science or equivalent field is required or work equivalent experience.
Relevant certifications (PMP, SAFe, CISSP, or equivalent)
10+ years in technical program management within cybersecurity, IT infrastructure, or application portfolio management.
Proven experience managing complex, multi-workstream technology programs at enterprise scale.
Strong background in risk and compliance, enterprise architecture, vulnerability management, or risk-based remediation prioritization.
Working knowledge of NIST AI RMF, ISO/IEC 42001, and emerging AI regulatory requirements.
Relevant certifications (CRISC, CISA, AI governance-specific credentials).
Strong working knowledge of enterprise systems including CMDB/EAMS, ServiceNow, and enterprise asset management practices.
Excellent stakeholder management and cross-functional coordination skills.
Experience integrating AI/ML-enabled tooling into security or IT operations workflows.
Excellent written and verbal communication skills for executive audiences.

Mansioni

Create a complete and trusted inventory of technology assets across enterprise portfolios, including applications, technology components, SaaS platforms, vendors, and supporting infrastructure.
Classify assets by business criticality, security exposure, compliance relevance, operational resilience, and modernization requirements.
Identify and prioritize high-value assets, externally facing capabilities, and assets with elevated risk or material service-level implications.
Define an AI-enabled assessment and remediation process that supports proactive monitoring, continuous validation, and faster decision-making.
Establish clear governance across the enterprise, accountability, reporting, and execution cadence across technology, cybersecurity, enterprise architecture, risk, compliance, and finance stakeholders.