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Bank of America

Senior Identity and Access Management (IAM) Consultant

Bank of America

Senior Consultant in Identity and Access Management for safeguarding bank information systems at Bank of America. Leading identity security and governance initiatives across cloud and AI environments.

Posted 8/1/2026full-timeBoston • Colorado, District of Columbia, Massachusetts • 🇺🇸 United StatesSenior💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Identity and Access Management (IAM) principles, cloud security across AWS, Microsoft Azure, and Google Cloud Platform, and the implications of AI technologies on identity governance. Capable of developing strategic recommendations and frameworks that align with regulatory expectations and business objectives.

Highest-signal resume keywords
Identity And Access ManagementPublic Cloud SecurityGenerative AI KnowledgeComparative Technology AssessmentNIST Cybersecurity Framework

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Identity Lifecycle GovernanceAuthenticationAuthorizationPrivileged Access ManagementSecrets ManagementZero TrustCloud-Native Solutions EvaluationAI Risk ManagementAPI AuthorizationControl Requirements Development
Soft Skills
Analytical SkillsCritical ThinkingStakeholder ManagementCommunication SkillsOrganizational Skills
Tools & Technologies
AWSMicrosoft AzureGoogle Cloud PlatformMITRE ATLASISO 27001COBIT
Industry Keywords
Identity GovernanceCloud SecurityAI Identity RisksRegulatory ComplianceOperational Risk

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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 considerations for cloud and AI, including workload identities, service principals, managed identities, short-lived credentials, token-based access, API authorization, policy-based access, identity and entitlement drift, and human and non-human access governance.
  • Ability to interpret complex technical, market, regulatory, and vendor information and translate it into concise executive analysis, strategic options, roadmaps, control requirements, and investment recommendations.
  • Experience partnering across cybersecurity, cloud engineering, AI and data teams, enterprise architecture, product management, compliance, operational risk, Audit, and senior leadership.
  • Strong analytical and critical-thinking skills, with the ability to challenge assumptions, identify architectural and control gaps, assess emerging technologies, and distinguish production-ready capabilities from developing or vendor-roadmap functionality.
  • Highly organized and motivated self-starter who can lead complex, cross-functional initiatives and deliver results with minimal direction in a fast-paced, evolving environment.
  • Excellent written, verbal, presentation, and stakeholder-management skills, including the ability to communicate with business leaders, technical teams, risk partners, and senior executives and influence enterprise outcomes.

Benefits

Comp & perks
  • Discretionary incentive eligible
  • Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
  • Currently benefits eligible
  • We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.