Job Description:
***Crop to Crop resumes are accepted
Location Requirement: Onsite or Remote: Candidate MUST be a WI resident or willing to relocate to WI prior to starting the role at their own expense. This position can work 100% remote with occasional onsite visits 1-2 times required throughout the duration of the contract.
The State of Wisconsin, Department of Administration (DOA), Division of Enterprise Technology (DET), Bureau of Security (BOS) requires an expert senior technical leader and engineer to serve as a strategic advisor to the CISO and drive the statewide implementation of the Accelerated Exposure Reduction Plan.
This role balances high-level strategic advisory with hands on engineering, operating on a "teach-by-doing" knowledge transfer model. The primary objective is to build long- term internal capabilities while operationalizing and enforcing the State''s newly updated Flaw Remediation (SI-2) Standard. This initiative transitions the State from reactive, manual vulnerability management to an AI-accelerated, continuous authorization, and automated DevSecOps posture
The consultant shall perform hands-on engineering, deliver strategic CISO advisory, and provide direct mentoring across the following core operational pillars:
CISO Strategic Advisory and Engineering
- Act as a direct technical advisor to the CISO, translating federal mandates, emerging AI threat models, and architectural gaps into actionable enterprise security directives.
- Execute a hands-on knowledge transfer model, co-engineering data pipelines and security automation alongside internal DET staff to institutionalize elite technical skills.
- Deliver real time training and co-develop automation playbooks within the security operations (SecOps) using live demonstration approach.
Clean Deployment Architectures: Partner with agency development teams to pivot away from manual, in-place patching. Author and implement automated templates for clean deployments using virtualized system images, containers, and cloud-native configurations.
- DevSecOps Integration: Embed secure builds, automated software testing, code scanning, and dependency updates natively into agency deployment pipelines.
AI Capability Deployment & Toolchain Integration
- Operationalize Gemini Government and Google Codemender or equivalent directly inside active workflows, showing security analysts and application
developers how to leverage generative AI to automate log parsing, threat hunting, and source-code remediation. - Engineer automated data pipelines to feed the centralized enterprise platform (incorporating telemetry from Tenable.io, Google Mandiant ASM, Microsoft Azure Arc, Splunk, and Google SecOps) to maintain a single, authoritative pane of glass.
- Ensure all AI-assisted capabilities comply strictly with State privacy, data classification, and logging safeguards, preventing non-public vulnerability metrics from leaking into unvetted environments.
Governance Safeguards & Escalation Automation
- Build automated low-code workflows to manage the SI-2 time-bound exception lifecycle, ensuring every granted exception maps back to a named owner, specific compensating controls, and an explicit financial tiedown capturing technical debt.
- Configure automated alert thresholds and workflow routing for significant business risks that exceed normal management tolerance, ensuring rapid escalation in line with the SI-2 update.
4. Minimum Qualifications and Core Competencies
The designated expert must demonstrate a unique blend of strategic advisory presence and deep, practical engineering capability:
- Executive Advisory: Proven experience serving as a trusted technical advisor to CISOs, CIOs, or senior executive leaders within public sector or heavily federated enterprise environments.
- Teach-by-Doing Expertise: Documented success as a technical mentor, trainer, or engineering lead focused on pair-engineering and technical upskilling of infrastructure and security operations staff.
- Security Control Mastery (SI-2): Comprehensive expertise operationalizing security controls, including tiering models, compensating control validation, and time bound risk governance structures.
- Advanced Tooling Fluency: enterprise cyber stack Google Threat Intel or VirusTotal, Google SecOps, Mandiant ASM, Tenable.io, Microsoft Azure Arc, GitHub, GitHub Advanced Security, Ansible Tower, and Gemini/Anthropic AI security frameworks.
- Cloud Architecture & DevSecOps Engineering
Required Skills:
- Must be able to demonstrate prior experience doing the following in a large/complex environment:
- Proven experience serving as a trusted technical advisor to CISOs, CIOs, or senior executive leaders within public sector or heavily federated enterprise environments.
- Documented success as a technical mentor, trainer, or engineering lead focused on pair-engineering and technical upskilling of infrastructure and security operations staff.
- Comprehensive expertise operationalizing security controls, including tiering models, compensating control validation, and time bound risk governance structures.
- Enterprise cyber stack Google Threat Intel or VirusTotal, Google SecOps, Mandiant ASM, Tenable.io, Microsoft Azure Arc, GitHub, GitHub Advanced Security, Ansible Tower, and Gemini/Anthropic AI security frameworks.
- Cloud Architecture & DevSecOps Engineering
Desired Skills:
- Federated/Government environment
- Tech Stack to include: Google, Microsoft, AWS, Splunk
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