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Bank of America

Runs a US consumer bank, brokerage and investment bank

Identity and Access Management Senior Consultant

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of experience in Identity and Access Management, information security, cloud technology, technology risk, enterprise architecture, public cloud security, or related disciplines within a large, complex, 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.
  • Understanding of public cloud IAM and security capabilities across AWS, Microsoft Azure, and Google Cloud Platform, including platform approaches, strengths, limitations, control models, and enterprise integration considerations.
  • Knowledge of Generative AI, machine learning, large language models, AI agents, Agentic AI, and related identity and access risks; deep engineering or model-development expertise is not required.
  • Experience conducting comparative technology, architecture, product, or vendor assessments and making 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, including 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 to challenge assumptions, identify architectural and control gaps, assess emerging technologies, and distinguish production-ready capabilities from developing or vendor-roadmap functionality.
  • Ability to lead complex, cross-functional initiatives and deliver results with minimal direction in a fast-paced, evolving environment.
  • Written, verbal, presentation, and stakeholder-management skills to communicate with business leaders, technical teams, risk partners, and senior executives and influence enterprise outcomes.

Responsibilities

  • 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 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, 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 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.
  • Apply knowledge of laws, rules, regulations, and information security frameworks to establish and maintain policies, validate alignment of processes and controls, report on adherence to policy requirements, and maintain governance programs related to IAM standard controls.
  • Leverage data analytics, governance process management, and cross-functional partnerships to verify policy compliance, identify gaps, and support remediation activities.

About the Company

Bank of America

Runs a US consumer bank, brokerage and investment bank

Bank of America runs one of the largest US banks, serving consumers, small businesses, wealthy families, corporations and institutional investors. Alongside checking accounts, credit cards, mortgages and business loans, it owns the Merrill brokerage, a private bank for wealthy clients and a global investment bank that advises on deals and trades stocks and bonds. Customers reach it through thousands of branches and ATMs and its mobile banking app. It earns money mainly from the gap between what it charges on loans and pays on deposits, plus fees from advice, asset management, deal work and trading. It grew from a San Francisco bank founded in 1904 and is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1904

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