Senior Identity and Access Management (IAM) Consultant Job Lakewood area,Colorado USA,IT/Tech

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.

Requirements

10+ years of experience in Identity and Access Management, information security, technology risk, enterprise architecture, public cloud security, or related disciplines within a large, complex, and highly regulated organization.
Broad working knowledge of IAM principles and capabilities, including identity lifecycle governance, authentication, authorization, privileged access management, non-human identities, secrets management, least privilege, and Zero Trust.
Demonstrated understanding of public cloud IAM and security capabilities across AWS, Microsoft Azure, and Google Cloud Platform, with the ability to compare platform approaches, strengths, limitations, control models, and enterprise integration considerations.
Demonstrated knowledge of Generative AI, machine learning, large language models, AI agents, Agentic AI, and related identity and access risks, without requiring deep engineering or model-development expertise.
Experience conducting comparative technology, architecture, product, or vendor assessments and developing fact-based recommendations based on strategic alignment, functionality, security, risk, cost, implementation effort, sustainability, and operational fit.
Ability to evaluate cloud-native solutions against enterprise, hybrid, and legacy alternatives and recommend pragmatic target-state and transitional approaches.
Familiarity with AI and cybersecurity risk frameworks and guidance, such as NIST AI Risk Management Framework, NIST Cybersecurity Framework, MITRE ATLAS, OWASP guidance for AI and large language model applications, ISO 27001, COBIT, and applicable regulatory expectations.
Understanding of modern identity…