AI Analyst – Security & Governance

Overview

Supports the secure, responsible and compliant use of artificial intelligence across the enterprise, focusing on AI risk analysis, security control validation, governance reporting and regulatory readiness.

What you'll do

• Assess AI systems, tools and use cases for security, privacy, data protection, IP and misuse risks, including generative and traditional AI.
• Support AI risk classification, intake reviews and control validation aligned to enterprise AI governance frameworks.
• Monitor risks related to data leakage, prompt misuse, model drift, third-party AI exposure and unauthorized AI usage (AI Shadow IT).
• Partner with Security Operations to support AI-related incident analysis, reporting and lessons-learned activities.
• Support execution of the enterprise AI Governance Policy, including tracking compliance, approvals and exceptions.
• Assist with regulatory readiness (e.g., AI regulations, data protection laws), translating requirements into governance artifacts, tracking and evidence.
• Maintain AI inventories, risk registers, metrics and dashboards to support audit and leadership reporting.
• Help operationalize security-by-design and privacy-by-design principles across the AI lifecycle.
• Analyze AI usage data, monitoring signals and security controls to identify trends, gaps and emerging risks.
• Develop executive-ready insights and summaries for leadership, risk committees and audit reviews.
• Track governance KPIs such as AI coverage, risk posture, control adoption, policy compliance and remediation progress.
• Support continuous improvement by identifying recurring issues and recommending governance enhancements.
• Partner with Legal, Privacy, IT, Product Security, Procurement and OpCo teams to evaluate AI tools, vendors and use cases.
• Support education and awareness efforts by translating governance requirements into clear guidance for business and technical teams.
• Contribute to standard work, playbooks and templates supporting AI governance at scale.

What you'll need

• Bachelor's degree in Information Security, Data Analytics, Computer Science, Risk Management, or a related field.
• 3–5+ years of experience in security analysis, risk management, governance, compliance, or technology assurance.
• Working knowledge of AI concepts, including generative AI, model training/inference, data usage and AI-enabled tools.
• Experience assessing or supporting controls related to data protection, access management, third-party risk and secure development.
• Strong analytical skills with the ability to synthesize complex technical topics into clear, executive-ready insights.

Nice to have

• Experience supporting AI governance, product security, privacy engineering or secure development lifecycle (SDL).
• Familiarity with emerging AI regulations and responsible/ethical AI principles.
• Experience with governance tooling, dashboards or security monitoring platforms.
• Background in GRC, audit support or enterprise risk management.
• Ability to work effectively across global, matrixed organizations.

Details

• Location: Karnataka, India.