AI Analyst – Security & Governance

Fortive

. Assess AI systems, tools, and use cases for security, privacy, data protection, IP, and misuse risks .

Posted 10/27/2026full-timeIndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI governance, risk management, and compliance, with a strong focus on security and privacy principles throughout the AI lifecycle. Capable of translating complex regulatory requirements into actionable governance artifacts and insights for leadership.

Highest-signal resume keywords

AI GovernanceRisk ManagementData ProtectionSecurity AnalysisCompliance Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Information SecurityData AnalyticsRisk AssessmentGovernance FrameworksAI ConceptsSecure Development LifecycleAnalytical SkillsControl ValidationIncident AnalysisRegulatory Readiness

Soft Skills

Clear CommunicationCollaborationProblem-SolvingAnalytical ThinkingEducation and Awareness

Tools & Technologies

Governance ToolingSecurity Monitoring PlatformsDashboardsMetrics TrackingRisk Registers

Industry Keywords

Generative AIData LeakageThird-Party RiskPrivacy EngineeringEthical AI PrinciplesAudit SupportEnterprise Risk ManagementCompliance TrackingAI LifecycleMatrixed Organizations

About the role

Key responsibilities & impact

Assess AI systems, tools, and use cases for security, privacy, data protection, IP, and misuse risks
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
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 and translate requirements into governance artifacts, tracking, and evidence
Maintain AI inventories, risk registers, metrics, and dashboards for 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 including AI coverage, risk posture, control adoption, policy compliance, and remediation progress
Identify recurring issues and recommend 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
Contribute to standard work, playbooks, and templates supporting AI governance at scale

Requirements

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
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