General Manager - Global Information Security

About The Company Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications Accountable for managing the secured development, deployment, operations and lifecycle management for internal and external applications, AI platforms and projects as well as public and private cloud infrastructure across the organisation and al subsidiaries. Secure-by-design, DevSecOps transformation, AI model governance, and cloud security architecture across hybrid and multi-cloud environments. Build security domain capability Influence CoE, product and engineering functional leadership Drive security culture in development teams Application security Define and implement enterprise application security strategy across all digital products and services. Collaborate with business and technology stakeholders to maintain ongoing security governance and address security risks associated with applications and digital platforms to provide security assurance for customer facing application platforms/services. Embed secure SDLC (SSDLC) practices across engineering teams. Establish DevSecOps frameworks integrated with CI/CD pipelines. Oversee SAST DAST SCA API security Mobile application security Container and microservices security Cloud Security Lead security for multi-cloud and hybrid cloud environments including AWS, GCP, Azure as well as private cloud services Define and implement enterprise cloud security strategy across all digital products and platforms. Collaborate with business and technology stakeholders to maintain ongoing security governance and address security risks associated with cloud infrastructure and automation. Cloud security architecture and guardrails CSPM and CNAPP governance Identity and access security for cloud workloads Cloud-native security monitoring Container and Kubernetes security Serverless security Data security in cloud environments AI Security and Governance Develop enterprise framework for AI and ML security and risk management including, AI model security Protection against model theft and poisoning Secure training data pipelines Responsible AI governance Adversarial AI threat mitigation AI risk assessment and regulatory compliance Establish AI security standards aligned with emerging frameworks such as: NIST AI RMF, ISO 42001, Responsible AI guidelines Governance and Operational Responsibilities Lead Implementation Of DevSecOps At Scale Including Security testing automation in CI/CD pipelines Container image security Software integrity and artifact signing Open-source software dependencies Threat modelling Security architecture reviews API Security Governance API discovery and inventory API gateway security Strong Knowledge Of Application Security OWASP Top 10 Secure coding practices Application threat modelling API security Cloud Security AWS / Azure / GCP security architectures Kubernetes security CNAPP / CSPM platforms Zero Trust architecture AI Security AI model lifecycle security ML pipeline security AI governance frameworks Engineering Practices DevSecOps pipeline security Infrastructure as Code security Software supply chain security