Define and steer IAM standards, governance models, controls, and effectiveness measures for public cloud, SaaS, Generative AI, machine learning, and Agentic AI environments.
Lead comparative assessments of IAM and identity-security capabilities across AWS, Microsoft Azure, Google Cloud Platform, and emerging AI platforms, evaluating strategic alignment, security, control coverage, integration complexity, sustainability, and implementation effort.
Evaluate cloud-native, enterprise, and vendor-provided IAM solutions against business requirements, regulatory expectations, target-state architecture, existing investments, and long-term operating-model objectives.
Develop recommendations, decision frameworks, roadmaps, and reusable IAM patterns for cloud and AI adoption, including identity lifecycle management, human and non-human identities, authentication, authorization, privileged access, secrets management, and entitlement governance.
Assess identity and access implications of AI solutions, including AI agents, models, platforms, APIs, data sources, tools, and agent-to-agent interactions, with particular focus on ownership, least privilege, lifecycle governance, runtime authorization, traceability, and access drift.
Partner with cloud, AI, cybersecurity, architecture, engineering, product, risk, and compliance teams to identify control gaps, compare solution alternatives, and translate strategic requirements into actionable recommendations.
Monitor public cloud, AI, IAM, and cybersecurity market developments and use industry research, peer practices, and regulatory guidance to inform IAM strategy, standards, investment priorities, and vendor direction.
Drive modernization and risk-reduction initiatives that improve cloud and AI identity governance, reduce reliance on legacy or highly customized approaches, and promote scalable, cloud-native and sustainable capabilities.
Lead IAM assessments for new cloud services, AI use cases, platforms, and vendors, documenting risks, dependencies, control requirements, strategic fit, and recommended disposition.
Represent IAM with senior management, Audit, Compliance, Operational Risk, regulators, and independent assessment organizations on public cloud and AI identity risks, controls, strategy, and remediation plans.
Develop executive-level analysis, presentations, decision materials, and recommendations that clearly explain complex cloud and AI identity considerations, options, tradeoffs, risks, and proposed outcomes.
Influence enterprise technology decisions, investment priorities, architecture direction, and vendor strategies to support IAM, public cloud, and AI objectives.