AI Workforce Transformation Manager

HCLTech; Abu Dhabi; On-site; AED 420,000 - 780,000; Full time

Job summary

HCLTech is seeking a Senior Manager – AI Security Product Owner to drive the strategy, design, and delivery of secure AI/ML products. You will ensure compliance with cybersecurity standards while enabling innovation and business value.

The role requires leadership across Product, Engineering, Cybersecurity, Risk, Compliance, and external vendors, with a focus on secure SDLC, governance, and risk management in a global enterprise environment.

Qualifications

• 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 DevSecOps.
• 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.

Responsibilities

• Define end-to-end AI security product vision, roadmap, and lifecycle.
• Collaborate with business, technology, and cybersecurity teams to identify secure AI use cases.
• Embed security-by-design and privacy-by-design into AI/ML development.
• Establish AI security controls across model development, deployment, and monitoring.
• Perform AI risk assessments addressing data privacy, bias, explainability, and regulatory compliance.
• Ensure alignment with relevant frameworks and enterprise cybersecurity standards.
• Lead secure AI product delivery across cloud, on-prem, and hybrid environments.
• Integrate security controls into MLOps/LLMOps pipelines with continuous validation.
• Drive secure SDLC practices including threat modeling and vulnerability management.
• Interface between Product, Engineering, Cybersecurity, Risk, Compliance, and vendors.
• Manage third-party AI risk assessments and contract obligations.

Skills

12+ years experience

AI/ML security

Cloud security

GRC frameworks

MLOps

LLM security

Tools

AWS

Azure

GCP

Job description

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?

Job Description

Title: Senior Manager – AI Security Product Owner

Role Purpose

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.

Key Accountabilities

AI Security Product Strategy & Ownership

• 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.

AI/ML Security & Risk Governance

• 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.

Secure Product Delivery & Integration

• 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.

Governance, Compliance & Audit

• 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).

Knowledge, Skills & Experience

• 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 DevSecOps
• 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.

Preferred Certifications

• CISSP / CISM / CRISC
• Certified AI Security / AI Governance certifications
• Cloud security certifications (e.g., AWS Security Specialty, Azure Security)
• Product certifications (e.g., Scrum Product Owner)

Why Us

We are one of the fastest-growing large tech companies in the world, with offices in 50+ countries across the globe and 219,000 employees.

• Our company is extremely diverse with 165 nationalities represented.
• We offer the opportunity to work with colleagues across the globe.
• We offer a virtual-first work environment, promoting a good work-life integration and real flexibility.
• We offer comprehensive benefits for all employees.
• We are a certified great place to work and a top employer in 17 countries, offering a positive work environment that values employee recognition and respect.

Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, Aboriginal and Torres Strait Islander people or any other protected classification, in accordance with federal, state, and/or local law.

Candidate Data Privacy Notice | HCL Technologies

We are committed to respecting your privacy and for the protection of your personal data. Your personal data will be collected and processed in line with our candidate privacy notice: https://www.hcltech.com/candidate-privacy-notice. This privacy notice will help you to understand what personal data we collect about you, how we use this personal data, and what rights you have regarding your personal data. By replying to this email or submitting any personal data to HCLTech, you acknowledge that you have read and understood the candidate privacy notice and have provided your consent to the processing of your data for recruitment purposes as described in the privacy notice”.