Track Manager - Identity And Access Management, Service-Oriented Architecture

Job Description

Track Manager - Identity And Access Management, Service-Oriented Architecture

Hyderabad, Telangana

Job Summary

Lead the privacy and security architecture for the Enterprise TDM Accelerator. Define policy-driven masking, tokenisation, encryption, access, audit, retention, and deletion controls that enable the safe use of production-like data in lower environments. Support Data Protection Impact Assessments (DPIAs), assess re-identification risk, and provide evidence required for security, privacy, and governance approvals. Work with legal, risk, compliance, data owners, and engineering teams to ensure the platform meets regulatory and enterprise control obligations. \"• Define enterprise masking, tokenisation, encryption, redaction, retention, and access-control policies. • Lead DPIA activities and provide architecture inputs, control evidence, and remediation recommendations. • Assess re-identification, linkage, inference, and residual privacy risks across masked and synthetic datasets. • Define least-privilege access, segregation-of-duties, audit logging, monitoring, retention, and deletion controls. • Translate regulatory and enterprise privacy requirements into implementable platform patterns. • Review masking rules and approve treatment strategies for sensitive and regulated data classes. • Support FPOB, security, risk, privacy, and architecture assurance reviews through approval closure. • Maintain privacy threat models, decisions, control mappings, and compliance evidence.\" \"• Data Privacy Architecture • Security Architecture • DPIA • Data Masking and Tokenisation • Re-identification Risk Assessment • Identity and Access Management • Audit and Retention Controls • Regulatory Compliance\"

Key Responsibilities

Lead the privacy and security architecture for the Enterprise TDM Accelerator. Define policy-driven masking, tokenisation, encryption, access, audit, retention, and deletion controls that enable the safe use of production-like data in lower environments. Support Data Protection Impact Assessments (DPIAs), assess re-identification risk, and provide evidence required for security, privacy, and governance approvals. Work with legal, risk, compliance, data owners, and engineering teams to ensure the platform meets regulatory and enterprise control obligations. \"• Define enterprise masking, tokenisation, encryption, redaction, retention, and access-control policies. • Lead DPIA activities and provide architecture inputs, control evidence, and remediation recommendations. • Assess re-identification, linkage, inference, and residual privacy risks across masked and synthetic datasets. • Define least-privilege access, segregation-of-duties, audit logging, monitoring, retention, and deletion controls. • Translate regulatory and enterprise privacy requirements into implementable platform patterns. • Review masking rules and approve treatment strategies for sensitive and regulated data classes. • Support FPOB, security, risk, privacy, and architecture assurance reviews through approval closure. • Maintain privacy threat models, decisions, control mappings, and compliance evidence.\" \"• Data Privacy Architecture • Security Architecture • DPIA • Data Masking and Tokenisation • Re-identification Risk Assessment • Identity and Access Management • Audit and Retention Controls • Regulatory Compliance\"

Skill Requirements

Lead the privacy and security architecture for the Enterprise TDM Accelerator. Define policy-driven masking, tokenisation, encryption, access, audit, retention, and deletion controls that enable the safe use of production-like data in lower environments. Support Data Protection Impact Assessments (DPIAs), assess re-identification risk, and provide evidence required for security, privacy, and governance approvals. Work with legal, risk, compliance, data owners, and engineering teams to ensure the platform meets regulatory and enterprise control obligations. \"• Define enterprise masking, tokenisation, encryption, redaction, retention, and access-control policies. • Lead DPIA activities and provide architecture inputs, control evidence, and remediation recommendations. • Assess re-identification, linkage, inference, and residual privacy risks across masked and synthetic datasets. • Define least-privilege access, segregation-of-duties, audit logging, monitoring, retention, and deletion controls. • Translate regulatory and enterprise privacy requirements into implementable platform patterns. • Review masking rules and approve treatment strategies for sensitive and regulated data classes. • Support FPOB, security, risk, privacy, and architecture assurance reviews through approval closure. • Maintain privacy threat models, decisions, control mappings, and compliance evidence.\" \"• Data Privacy Architecture • Security Architecture • DPIA • Data Masking and Tokenisation • Re-identification Risk Assessment • Identity and Access Management • Audit and Retention Controls • Regulatory Compliance\"

Other Requirements

Lead the privacy and security architecture for the Enterprise TDM Accelerator. Define policy-driven masking, tokenisation, encryption, access, audit, retention, and deletion controls that enable the safe use of production-like data in lower environments. Support Data Protection Impact Assessments (DPIAs), assess re-identification risk, and provide evidence required for security, privacy, and governance approvals. Work with legal, risk, compliance, data owners, and engineering teams to ensure the platform meets regulatory and enterprise control obligations. \"• Define enterprise masking, tokenisation, encryption, redaction, retention, and access-control policies. • Lead DPIA activities and provide architecture inputs, control evidence, and remediation recommendations. • Assess re-identification, linkage, inference, and residual privacy risks across masked and synthetic datasets. • Define least-privilege access, segregation-of-duties, audit logging, monitoring, retention, and deletion controls. • Translate regulatory and enterprise privacy requirements into implementable platform patterns. • Review masking rules and approve treatment strategies for sensitive and regulated data classes. • Support FPOB, security, risk, privacy, and architecture assurance reviews through approval closure. • Maintain privacy threat models, decisions, control mappings, and compliance evidence.\" \"• Data Privacy Architecture • Security Architecture • DPIA • Data Masking and Tokenisation • Re-identification Risk Assessment • Identity and Access Management • Audit and Retention Controls • Regulatory Compliance\"

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Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.