AI Workforce Transformation Manager

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

At HCLTech Australia, we value the unique perspective and contributions of all individual and we actively encourage applications from Aboriginal and Torres Strait Islander people to apply for this role.

Are you ready to be an important part of this ever-transformational journey?

The Senior Manager – AI Security Product Owner is responsible for defining, driving, and overseeing the strategy, design, and delivery of secure AI/ML products and platforms. The role ensures that AI solutions are developed and deployed in alignment with cybersecurity standards, regulatory requirements, and enterprise risk frameworks, while enabling innovation and business value realization.

• Define and own the end-to-end product vision, roadmap, and lifecycle for AI security solutions.
• Collaborate with business, technology, and cybersecurity teams to identify secure AI use cases and prioritize delivery.
• Embed security-by-design and privacy-by-design principles into AI/ML product development.

• Establish and enforce AI security controls covering model development, deployment, and monitoring.
• Perform AI risk assessments addressing data privacy, model bias, explainability, and regulatory compliance.
• Ensure alignment with frameworks such as NIST AI RMF, ISO 42001, and enterprise cybersecurity standards.

• Lead secure AI product delivery across cloud, on-prem, and hybrid environments.
• Integrate security controls into MLOps/LLMOps pipelines, ensuring continuous control validation.
• Drive secure SDLC practices including threat modeling, vulnerability management, and secure deployment.
• Act as the key interface between Product, Engineering, Cybersecurity, Risk, Compliance and external vendors.
• Manage third-party AI solution risk assessments and ensure adherence to security and contractual obligations.

• Ensure compliance with regulatory requirements (e.g., UAE regulations, GDPR, internal policies).
• Support interhcnal and external audits, ensuring timely closure of findings and remediation tracking.
• Maintain AI risk registers, documentation, and governance reporting.
• Define monitoring frameworks for AI systems including logging, anomaly detection, and abuse prevention.
• Lead AI-related incident response and root cause analysis.
• Continuously enhance AI security posture based on emerging threats (e.g., OWASP LLM risks, adversarial AI).

• 12+ years of experience in Cybersecurity, AI/ML Security, Product Ownership, or related domains.
• Strong expertise in:
• AI/ML security, governance, and risk management
• Cloud security (AWS, Azure, GCP) and Dev Sec Ops
• GRC frameworks (ISO 27001, NIST, SOC2, GDPR)
• Experience in AI governance frameworks (NIST AI RMF, EU AI Act, ISO 42001).
• Proven experience in product ownership, agile delivery, and stakeholder management.
• Strong understanding of MLOps, LLM security, and AI threat landscape.

• CISSP / CISM / CRISC
• Certified AI Security / AI Governance certifications
• Cloud security certifications (e.g., AWS Security Specialty,…