Professional Information Security

HJ Staffing

15d

About The Position

We are seeking a visionary Professional Information Security to lead and shape our organization’s AI security, governance, and risk management strategy from the ground up.
This is a senior, enterprise-facing role that transcends traditional security analysis. You will serve as a strategic leader, securing our AI/ML ecosystems and ensuring total alignment between cutting-edge technology, regulatory requirements, and business objectives. Acting as the bridge between AI engineering, DevSecOps, Legal, and Executive leadership, you will translate technical risks into actionable business strategies.
What You Will Do
Strategic Leadership: Define enterprise-wide AI security and governance strategies, including secure model development and AI threat modeling.
Bridge Technical & Business Divides: Serve as the primary liaison between technical teams (AI/ML Engineering) and non-technical stakeholders (Legal, Compliance, Executive leadership).
Process Optimization: Oversee the design of complex business processes related to AI systems, data pipelines, and security controls.
Risk Translation: Convert advanced concepts—such as adversarial ML risks and model drift—into meaningful policy recommendations and business impacts.
Governance & Compliance: Lead the creation of AI governance forums and ensure all architectures meet global regulatory requirements.
Security Validation: Provide oversight for complex testing strategies, including red-teaming and security validation of AI systems.
Mentorship: Provide high-level guidance to project teams and mentor junior analysts within the security and IT domains.
You Will Be Successful If...
You are a pioneer who enjoys building governance frameworks from scratch rather than just maintaining existing ones.
You are comfortable operating at the intersection of Cybersecurity and AI/ML Engineering.
You can influence without authority, leading enterprise-scale initiatives across cross-functional departments.
You possess the executive presence to brief leadership on high-visibility, high-risk initiatives.
You thrive in high-visibility environments that require rapid, strategic decision-making.
What You Will Bring
Experience: 12+ years of experience in business analysis, technology strategy, or business process design within complex enterprise environments.
AI/ML Fluency: A deep understanding of AI/ML concepts, including MLOps/LLMOps, adversarial machine learning, and model protection.
Security Expertise: A strong background in information security leadership or secure systems design.
Regulatory Knowledge: Familiarity with frameworks such as NIST AI RMF, EU AI Act, or ISO/IEC 42001.
Education: Bachelor’s degree in Cybersecurity, Information Systems, Business Administration, or a related field (or equivalent experience).
Skills: Exceptional analytical, problem-solving, and presentation skills, with the ability to lead and mentor high-performing teams.

Requirements

• 12+ years of experience in business analysis, technology strategy, or business process design within complex enterprise environments.
• A deep understanding of AI/ML concepts, including MLOps/LLMOps, adversarial machine learning, and model protection.
• A strong background in information security leadership or secure systems design.
• Familiarity with frameworks such as NIST AI RMF, EU AI Act, or ISO/IEC 42001.
• Bachelor’s degree in Cybersecurity, Information Systems, Business Administration, or a related field (or equivalent experience).
• Exceptional analytical, problem-solving, and presentation skills, with the ability to lead and mentor high-performing teams.

Responsibilities

• Define enterprise-wide AI security and governance strategies, including secure model development and AI threat modeling.
• Serve as the primary liaison between technical teams (AI/ML Engineering) and non-technical stakeholders (Legal, Compliance, Executive leadership).
• Oversee the design of complex business processes related to AI systems, data pipelines, and security controls.
• Convert advanced concepts—such as adversarial ML risks and model drift—into meaningful policy recommendations and business impacts.
• Lead the creation of AI governance forums and ensure all architectures meet global regulatory requirements.
• Provide oversight for complex testing strategies, including red-teaming and security validation of AI systems.
• Provide high-level guidance to project teams and mentor junior analysts within the security and IT domains.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior