Senior Manager

Key Responsibilities

• Assess, design, implement, and govern enterprise-wide cybersecurity and technology risk frameworks, including NIST, Zero Trust Architecture, MITRE ATT&CK, and other global standards.
• Build and deploy AI/ML and Generative AI-based solutions to automate cyber risk detection, response, control validation, and reporting processes.
• Utilize Prompt Engineering and Large Language Models (LLMs) such as GPT (OpenAI), Gemini (Google), LLaMA (Meta), Claude (Anthropic), etc., to solve real-world cybersecurity challenges.
• Apply code, low-code, and no-code approaches for automating and modernizing risk controls and compliance processes.
• Leverage advanced technologies including Next-Gen SIEM, SOAR, CNAPP, ZTNA, passwordless authentication, EDR/XDR, DLP, Microsegmentation, and multi-cloud native security services.
• Lead the design and implementation of AI-powered observability platformsto drive real-time telemetry, threat detection, behavioral analytics, and performance insights across infrastructure, applications, and security domains.
  • Familiarity with platforms like Datadog, Dynatrace, New Relic, Splunk, Azure Monitor, Elastic, OpenTelemetry, and Grafana is expected.
• Collaborate across cross-functional teams to deliver secure-by-design outcomes for digital transformation and modernization programs.
• Frontend Internal / External audits and First Line Compliance control assurance and ensure key Risks are Self-Identified.

Required Skills & Experience

• 10–12 years of experience in cybersecurity, technology risk, and compliance, with proven delivery in AI-infused environments.
• Hands-on expertise in Generative AI, ML, LLMs, vector databases, and related toolchains (e.g., LangChain, OpenAI APIs, HuggingFace, Pinecone, Weaviate).
• Experience with observability, AIOps, and telemetry pipelines using tools like Datadog, Prometheus, Loki, Fluentd, and Elastic Stack.
• Strong scripting and automation experience (e.g., Python, PowerShell, Bash, YAML) and proficiency in low-code/no-code platforms (e.g., Power Automate, ServiceNow, UiPath).
• Deep understanding of cloud-native security, DevSecOps, and risk automation across AWS, Azure, and GCP environments.
• Strong communication, stakeholder engagement, and analytical problem-solving abilities.

Preferred Certifications

• CISSP, CISM, CRISC, CCSP, or equivalent cybersecurity and risk credentials.
• Certifications in AI/ML, cloud platforms (AWS, Azure, GCP), are a plus.

Mindset & Culture Fit

• Passion for innovation, automation, and continuous learning in cybersecurity and AI.
• Ability to collaborate across technology, operations, compliance, and business teams to build future-ready solutions.
• Self-starter with a bias toward action and measurable impact.