Senior Manager, AI Governance & Security Lead

Aspire Lifestyles; Gurugram District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Aspire Lifestyles in Gurugram seeks an experienced Senior Manager, AI Governance & Security Lead to drive AI governance, risk management and secure AI deployments for clients in financial services. You will establish governance, controls, and responsible AI practices across initiatives.

You will partner with business leaders, technology teams and regulators to ensure compliance with evolving global AI regulations, while delivering secure, ethical AI solutions at scale. Hybrid work model.

Qualifications

• 8-12+ years of experience in AI governance, risk, and security.
• Experience in regulated financial services environments.
• Strong stakeholder management and executive communication.
• Hands-on with AI governance, AI risk, and security controls.
• Knowledge of MAS, NIST, ISO 27001 frameworks is a plus.

Responsibilities

• Develop and maintain AI governance frameworks and operating models.
• Lead AI risk assessments and risk mitigation strategies.
• Define security requirements for AI solutions and threat modelling.
• Ensure regulatory alignment for AI initiatives and client engagements.
• Collaborate with clients and regulators to support audits.

Skills

AI Governance

Cybersecurity

Regulatory Compliance

Technology Risk

Stakeholder Management

Executive Communication

Risk Assessment

Cloud Security

Education

Bachelor's degree in Computer Science, Information Security, Engineering, Data Science, Law, Risk Management, or related discipline

Tools

Azure

AWS

GCP

ISO 27001

Job description

Essential Job Duties and Responsibilities:Description:FooterJob Title- Senior Manager, AI Governance & Security LeadLocation- Sector 48, Gurugram. Sohna, Tikri Road. Candor TechspaceWork Mode- HybridReports to- Director, Information Security & Compliance, Aspire Lifestyles GlobalExp- 8+ yearsJD-A. Overall Purpose Of The Job (Brief description of the primary purpose of this position)We are seeking an experienced AI Governance & Security Lead to help drive our organization's AI transformation and support our clients in the financial services sector. This role will be responsible for establishing and embedding AI governance, risk management, security, compliance, and responsible AI practices across internal and client-facing AI initiatives.The successful candidate will serve as a trusted advisor to business leaders, technology teams, risk functions, and clients, ensuring that AI solutions are deployed securely, responsibly, ethically, and in compliance with applicable regulatory requirements.This role combines expertise in AI governance, cybersecurity, technology risk, regulatory compliance, and responsible AI, with a strong focus on financial industry expectations and emerging global AI regulations.B. Key Responsibilities (Critical responsibilities and skills of this position, listed in order of importance)AI Governance Strategy & FrameworksDevelop and maintain enterprise-wide AI governance frameworks, standards, policies, procedures, and operating models.Establish governance structures, accountability models, and oversight processes for AI systems and AI-enabled business processes.Conduct gap assessments, maturity reviews and present findings and recommendations to leadershipDesign and implement AI lifecycle governance covering design, development, testing, deployment, monitoring, and retirement.Create governance requirements for Generative AI, Agentic AI, Machine Learning models, and third-party AI solutions.Establish AI inventories, risk registers, approval workflows, control frameworks, and reporting mechanisms.Drive adoption of Responsible AI principles including fairness, transparency, explainability, accountability, privacy, and human oversight.Develop training materials and awareness programs to promote responsible AI practices across the organization.AI Risk ManagementLead AI risk assessments for internal initiatives and client engagements.Identify and assess risks relating to:Model bias and fairnessHallucinations and output reliabilityExplainability and transparencyData privacy and confidentialityIntellectual property risksThird-party AI dependenciesModel drift and performance degradationAI operational and reputational risksEvaluate contractual, security, privacy, regulatory, and operational risks associated with AI solutions.Define AI risk mitigation controls and remediation plans.Develop risk rating methodologies and AI assurance processes.AI Security & CybersecurityDefine security requirements and controls for AI solutions and platforms.Conduct AI threat modelling and security assessments.Assess and mitigate AI-specific threats including:Prompt injectionData leakageModel poisoningAgent hijackingUnauthorized accessPrivilege escalationAdversarial attacksSensitive information exposureEstablish secure-by-design requirements for AI applications and agentic AI systems.Collaborate with cybersecurity teams to integrate AI controls into security architecture, identity management, vulnerability management, monitoring, and incident response programs.Assess AI vendors, models, service providers, and cloud platforms.Develop AI vendor due diligence and ongoing monitoring processes.Establish controls for use of external LLMs and AI services.Regulatory ComplianceProvide expert guidance on AI governance and security requirements relevant to regulated financial institutions.Interpret and operationalize regulatory and industry frameworks, including:Monetary Authority of Singapore (MAS) requirementsMAS FEAT PrinciplesMAS Technology Risk Management (TRM)NIST AI Risk Management FrameworkISO/IEC 42001ISO 27001EU AI ActData protection and privacy regulationsMonitor emerging AI regulations, supervisory guidance, and industry best practices.Support client audits, regulatory reviews, assessments, and remediation programs.Develop governance roadmaps and maturity assessments for clients.C. Job ProfileRequired Competencies & Work Experience (Critical behaviors necessary to successfully perform the job)Bachelor's degree in Computer Science, Information Security, Engineering, Data Science, Law, Risk Management, or related discipline.8-12+ years of experience in one or more of the following:AI GovernanceTechnology RiskCybersecurityIT GovernanceFinancial Services Risk ManagementRegulatory ComplianceData GovernanceAI SecurityDemonstrated experience designing and implementing governance frameworks in regulated environments.Strong understanding of AI and Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), machine learning, and agentic AI systems.Experience conducting technology, cybersecurity, or AI risk assessments.Strong stakeholder management and executive communication skills.Experience working with financial institutions and regulated industries.PreferredExperience designing AI governance operating models.Experience implementing Responsible AI frameworks.Hands-on knowledge of cloud security controls (Azure, AWS, GCP).Experience supporting regulatory inspections, audits, and assurance reviews.Familiarity with AI security testing and AI red teaming.Experience with AI model governance and model risk management.Consulting or professional services experience.Professional Certifications (Preferred)CISSPCISMCRISCCCSPISO 27001 Lead Implementer or Lead AuditorCertified Information Privacy Professional (CIPP)Certified in AI Governance (AIGP)NIST AI RMF related certificationsMicrosoft Certified: Cybersecurity Architect ExpertAWS Security SpecialtySuccess ProfileThe ideal candidate is:Equally comfortable discussing AI architecture with engineers and governance requirements with regulators.Able to balance innovation with risk management.A pragmatic problem solver who can translate regulatory expectations into actionable controls.Confident engaging senior executives, regulators, auditors, and client stakeholders.Passionate about enabling the responsible, secure, and trustworthy adoption of AI.