Job Description Summary
Job Description
Key Responsibilities
Program Strategy & Leadership
- Transformation Roadmap: Own the end-to-end "agentic" product security roadmap, defining clear milestones for transitioning from traditional to autonomous security operations.
- Executive Reporting: Present quarterly AI transformation scorecards to the VP of Product Cybersecurity and senior leadership.
- Cross-Functional Alignment: Partner with the CISO and Advanced Research Center to align strategies with enterprise risk frameworks and explore frontier technologies (e.g., field robotics, quantum-resilient crypto).
- Business Engagement: Embed security capabilities into business unit engineering workflows through proactive stakeholder collaboration.
Agentic Technology & Platforms
- Tooling Strategy: Lead the evaluation and selection of LLM providers, agentic tooling, and AI security platforms.
- Economic Discipline: Manage unit economics, including token cost management and per-application budgeting.
- Validation: Enforce rigorous "shadow mode" validation—requiring 95%+ parity before retiring any legacy security tools.
Build & Field Track Operations
- Secure Development (Build): Integrate security agents into CI/CD pipelines to achieve 100% repository coverage for code review and threat modeling by FY2027.
- Fielded Response (Field): Build autonomous vulnerability response capabilities; map all supported product versions to CVE exposure agents by FY2027 and reduce PSIRT advisory SLAs.
Contractor & Pipeline Governance
- Pipeline Personas: Define and govern role-based identities, permissions, and behavioral profiles for all autonomous agents.
- Program Management: Manage multi-vendor contractor programs (development, model drift monitoring, regression testing) and ensure GE Vernova ownership of all agent code/IP.
- Internal Capability: Build a resilient AI security team through strategic hiring, reskilling, and a dual-vendor strategy to mitigate single-vendor dependency.
Qualifications
Required
- Bachelors in CS, Cybersecurity, Engineering or in a related field (master’s preferred).
- 10+ years in product cybersecurity, software security, or technical leadership.
- Demonstrated experience deploying AI/ML systems within DevSecOps or software engineering contexts.
- Working knowledge of GE Vernova products (grid, power, industrial) and their operational environments.
- Deep expertise in secure SDLC, DevSecOps toolchains, and large-scale vulnerability management.
- Experience managing complex multi-vendor programs, including IP governance and performance metrics.
Desired Characteristics