Responsibilities
- Define and lead the enterprise-wide strategy for non-human identities by evaluating active initiatives, eliminating redundancies, and implementing a unified governance model spanning on-premises, cloud, and agentic systems.
- Develop and sustain a complete registry of non-human identities, including service accounts, APIs, bots, applications, RPA, and AI agents, ensuring discovery, classification, and continuous oversight within IAM frameworks.
- Govern the identity posture of AI agents across the organization, ensuring integration with IAM systems for proper registration, ownership mapping, access control, and monitoring—even when AI platforms are managed externally.
- Identify newly deployed AI agents and agentic workloads across the enterprise, collaborate with AI, cloud, and business teams to integrate them into the NHI framework, and address onboarding gaps.
- Act as the primary IAM authority for agent identity matters, setting standards for authentication methods, credential usage, security practices, and identity-based observability of agent activities.
- Enable centralized visibility into non-human identities by integrating IAM systems with cloud platforms such as AWS, Azure, GCP, and agentic ecosystems like Microsoft Copilot or AWS Bedrock.
- Implement advanced credential security measures for machine identities, including just-in-time access, dynamic secrets, short-lived certificates, automated rotation, and runtime authentication to minimize persistent privileges.
- Evaluate current tools for non-human identity and cloud IAM management to determine if enhancements, reconfigurations, or new solutions are required, and develop a practical, phased modernization plan.
- Advance the cloud IAM and identity governance strategy by bridging gaps between cloud-native identity services and central IAM/IGA platforms, ensuring automated, consistent governance of cloud identities and entitlements.
- Create governance models for cloud identities, including role-based access, entitlement management, access certifications, and least-privilege enforcement across cloud environments.
- Foster collaboration across IAM, AI, cloud, security, compliance, audit, and business units, translating evolving requirements into actionable priorities and ensuring partner accountability for IAM integration.
- Define KPIs and maturity benchmarks for NHI and cloud IAM programs to provide leadership with insights into inventory accuracy, risk levels, progress, and unresolved issues.
- Ensure machine identity and cloud access controls comply with SOX, GDPR, and PCI-DSS regulations, and address audit findings promptly.
- Oversee budgeting, resource allocation, and vendor management for all technologies and solutions related to non-human identity and cloud IAM.
- Lead and develop a team of technical experts, promoting a culture focused on proactive governance, automation, and continuous improvement.
Responsibilities
- Define and lead the enterprise-wide strategy for non-human identities by evaluating active initiatives, eliminating redundancies, and implementing a unified governance model spanning on-premises, cloud, and agentic systems.
- Develop and sustain a complete registry of non-human identities, including service accounts, APIs, bots, applications, RPA, and AI agents, ensuring discovery, classification, and continuous oversight within IAM frameworks.
- Govern the identity posture of AI agents across the organization, ensuring integration with IAM systems for proper registration, ownership mapping, access control, and monitoring—even when AI platforms are managed externally.
- Identify newly deployed AI agents and agentic workloads across the enterprise, collaborate with AI, cloud, and business teams to integrate them into the NHI framework, and address onboarding gaps.
- Act as the primary IAM authority for agent identity matters, setting standards for authentication methods, credential usage, security practices, and identity-based observability of agent activities.
- Enable centralized visibility into non-human identities by integrating IAM systems with cloud platforms such as AWS, Azure, GCP, and agentic ecosystems like Microsoft Copilot or AWS Bedrock.
- Implement advanced credential security measures for machine identities, including just-in-time access, dynamic secrets, short-lived certificates, automated rotation, and runtime authentication to minimize persistent privileges.
- Evaluate current tools for non-human identity and cloud IAM management to determine if enhancements, reconfigurations, or new solutions are required, and develop a practical, phased modernization plan.
- Advance the cloud IAM and identity governance strategy by bridging gaps between cloud-native identity services and central IAM/IGA platforms, ensuring automated, consistent governance of cloud identities and entitlements.
- Create governance models for cloud identities, including role-based access, entitlement management, access certifications, and least-privilege enforcement across cloud environments.
- Foster collaboration across IAM, AI, cloud, security, compliance, audit, and business units, translating evolving requirements into actionable priorities and ensuring partner accountability for IAM integration.
- Define KPIs and maturity benchmarks for NHI and cloud IAM programs to provide leadership with insights into inventory accuracy, risk levels, progress, and unresolved issues.
- Ensure machine identity and cloud access controls comply with SOX, GDPR, and PCI-DSS regulations, and address audit findings promptly.
- Oversee budgeting, resource allocation, and vendor management for all technologies and solutions related to non-human identity and cloud IAM.
- Lead and develop a team of technical experts, promoting a culture focused on proactive governance, automation, and continuous improvement.
