AI Security Product Owner - Governance & Risk

TechDigital Group; Bolingbrook (IL); On-site; USD 110,000 - 140,000; Full time

Job summary

TechDigital Group is seeking an AI Product Owner to own the roadmap for security's AI-related products and controls — translating enterprise AI risk, governance, and compliance requirements into backlogs that engineering and architecture teams can execute against.

This person is the primary bridge between security leadership, business stakeholders, and the technical delivery team for all AI security initiatives.

Qualifications

• 5+ years of product owner/product management experience, including 2+ years focused on AI/ML, data platforms, or security products.
• Working knowledge of AI/ML lifecycle risk and governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act awareness).
• Experience in a cybersecurity or GRC organization.

Responsibilities

• Own and prioritize the product backlog for AI security initiatives (e.g., AI/ML risk assessment tooling, model governance workflows, AI usage monitoring, generative AI guardrails).
• Translate requirements into actionable user stories and acceptance criteria.
• Partner with security leadership, enterprise AI/data science teams, legal, and risk functions to define product vision and success metrics.
• Run sprint planning, backlog grooming, and release reviews with the AI Engineer and AI Architect roles; remove blockers and sequence delivery.
• Define and track KPIs for AI security posture (e.g., model inventory coverage, risk assessments completed, vulnerabilities remediated).
• Produce roadmap artifacts, status reporting, and executive-ready updates for leadership.
• Evaluate third-party AI security tooling and vendors in partnership with procurement and architecture.

Skills

AI/ML

Agile/Scrum

Stakeholder communication

Tools

Jira

Azure DevOps

Job description

TechDigital Group is seeking an AI Product Owner to own the roadmap for security's AI-related products and controls — translating enterprise AI risk, governance, and compliance requirements into backlogs that engineering and architecture teams can execute against.

This person is the primary bridge between security leadership, business stakeholders, and the technical delivery team for all AI security initiatives.