Senior Manager – AI Security Product Owner

Greetings, We have an immediate opening for a Senior Manager – AI Security Product Owner position at Synechron in Abu Dhabi. • Role Title: Senior Manager – AI Security Product Owner • Experience:12+ Years • Location: Abu Dhabi • Employment type: Full-time • Domain: Banking About Company: Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,700 professionals across around 60 offices in over 22 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community. Synechron: Technology and AI Consulting for Business Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses. Diversity, Equity, and Inclusion Synechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity. We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn’t matter where you’re from or what you’ve had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we’ll support you like we support each other. Choose a career with us and let’s pursue innovation, together. Job Description 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. Stakeholder & Vendor Management: • 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 internal and external audits, ensuring timely closure of findings and remediation tracking. • Maintain AI risk registers, documentation, and governance reporting. Monitoring, Incident Response & Continuous Improvement: • 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 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) Show more Show less

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.

Role Purpose: define, drive, and oversee the strategy, design, and delivery of secure AI/ML products and platforms. Ensure AI solutions are developed and deployed in alignment with cybersecurity standards, regulatory requirements, and enterprise risk frameworks while enabling innovation and business value realization. AI Security Product Strategy & Ownership: define 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 into AI/ML product development. AI/ML Security & Risk Governance: establish and enforce AI security controls for model development, deployment, and monitoring; perform AI risk assessments addressing data privacy, model bias, explainability, and regulatory compliance; align with frameworks like 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 with continuous control validation; drive secure SDLC, including threat modeling, vulnerability management, and secure deployment. Stakeholder & Vendor Management: act as the primary 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 regulatory compliance (e.g., UAE regulations, GDPR, internal policies); support audits and remediation tracking; maintain AI risk registers and governance reporting. Monitoring, Incident Response & Continuous Improvement: define monitoring frameworks for AI systems (logging, anomaly detection, abuse prevention); lead AI-related incident response and root cause analysis; continuously enhance AI security posture against emerging threats (e.g., OWASP LLM risks).