Description

Drive IAM security, risk analytics, and compliance through data-driven insights and identity intelligence.

Responsibilities

• Lead identity analytics strategy, defining roadmaps, KPIs, and predictive models for proactive risk management.
• Develop identity risk analytics models to detect anomalies, policy violations, and insider threats.
• Implement risk-based access controls (RBAC, ABAC, PBAC) using advanced data analytics.
• Perform User and Entity Behavior Analytics (UEBA) to identify access anomalies and prevent misuse.
• Lead integration of IAM analytics with SIEM platforms for proactive threat detection.

Required Skills

• 10+ years of experience in IAM, cybersecurity, or data analytics, with 3+ years in a leadership role.
• Strong expertise in IAM risk modeling and behavioral anomaly detection.
• Proficiency in SQL and Python for data analysis.
• Deep knowledge of SIEM solutions including Splunk.
• Hands-on experience with IAM tools (Broadcom Identity Governance, Okta, CyberArk, Veza).
• Strong background in cloud IAM security (AWS, Azure, Google Cloud).
• Expertise in data visualization tools (Power BI, Tableau, Kibana).
• Experience leading role mining and risk-based authentication initiatives.

Key Skills

Education

Any Graduate