Lead end-to-end application security assessments (SAST/DAST/SCA, penetration testing, secure code review, threat modeling)
Design and implement Secure SDLC frameworks for Agile/DevOps environments
Advise CISOs and CTOs on application security strategy, roadmaps, and ROI
Manage large multi-workstream engagements
Advise clients on secure adoption of AI/ML and GenAI solutions, including risk assessments, governance, and secure enterprise integration
Lead client-facing engagements to assess and secure AI/ML applications, providing strategic direction on risk management, governance, and mitigation of vulnerabilities such as prompt injection and data exposure
Develop proprietary methodologies, accelerators, and IP in AppSec (e.g., AI-driven secure coding, intelligent vulnerability prioritization, zero-trust application architecture)
Contribute to thought leadership — whitepapers, webinars, conference talks (Black Hat, RSA, OWASP)
Support proposal development and deal closure for strategic pursuits
Build and enhance AI security offerings, including GenAI security frameworks and AI risk governance models
Mentor and performance-manage a team of 20–25 consultants (Managers, Seniors, Analysts)

BE / B.Tech / MCA
Minimum of 12+ years of experience in application security, secure SDLC, DevSecOps, or security architecture
Strong communication and stakeholder management skills
Prior experience in a Big 4 or similar consulting environment as a Manager / Senior Manager.

Senior Manager

Key skills