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Identity Access Jobs in Michigan (NOW HIRING)

Conexess Group

IAM Architect

Farmington Hills, MI · On-site

Identity and Access Management (IAM) Architect - Seeking an Identity and Access Management (IAM) Architect . As an IAM Architect, you will own and mature our identity security posture across a ...

AaraTechnologies Inc

CYBER SECURITY

Wyoming, MI · On-site

Support Identity & Access Management (IAM) activities * Assist with security audits, risk assessments, and compliance requirements * Maintain security documentation and incident reports Required ...

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Identity Access information

See Michigan salary details

$9

$21

$42

How much do identity access jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for identity access in Michigan is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $23.46 per hour, depending on experience, location, and employer.

What is identity access?

Identity Access, often referred to as Identity and Access Management (IAM), is a framework of policies and technologies that ensures the right individuals have appropriate access to an organization’s resources. It involves the processes for identifying, authenticating, and authorizing users to access systems and data. IAM helps protect sensitive information, supports compliance requirements, and reduces the risk of data breaches by managing user permissions and credentials. Professionals in this field work to streamline user access while maintaining security across various platforms.

What are the key skills and qualifications needed to thrive as an identity and access management (IAM) professional?

To thrive as an Identity and Access Management (IAM) professional, you need a solid understanding of cybersecurity principles, identity governance, and access control frameworks, usually supported by a degree in information technology or cybersecurity. Familiarity with IAM tools such as Okta, Microsoft Azure AD, and certifications like Certified Information Systems Security Professional (CISSP) or Certified Identity and Access Manager (CIAM) are highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for this role. These competencies are crucial for protecting organizational data, ensuring secure user access, and maintaining compliance with security regulations.

What are some common challenges faced by professionals working in identity access management (IAM) and how can they be overcome?

Professionals in Identity Access Management often encounter challenges such as keeping up with evolving security threats, managing user access across multiple systems, and ensuring compliance with regulatory requirements. Balancing the need for robust security with user convenience can also be demanding. These challenges can be addressed by staying updated on the latest security trends, implementing automated tools for access provisioning and deprovisioning, and maintaining clear documentation and audit trails. Collaborating closely with IT, security, and compliance teams is essential to ensure effective and secure identity management across the organization.

What is the difference between Identity Access vs Identity Access Management?

AspectIdentity AccessIdentity Access Management
Credentials/CertificationsOften requires basic security or IT certificationsRequires certifications like CISSP, CISA, or CompTIA Security+
Work EnvironmentTypically involves user account setup, access provisioning, and troubleshootingEncompasses policy development, system integration, and security oversight
Employer/Industry UsageUsed in IT departments for user access controlUsed across organizations for comprehensive identity security management
Search/Comparison IntentFocuses on individual access setupFocuses on overall identity security strategy

While both roles deal with user identities, Identity Access primarily involves managing individual user permissions, whereas Identity Access Management covers the broader strategy and policies for securing and managing digital identities across an organization.

How to get into identity access management?

To enter identity access management, develop skills in cybersecurity, networking, and authentication protocols, and gain experience with identity and access management (IAM) tools such as Active Directory or Okta. Earning relevant certifications like Certified Identity and Access Manager (CIAM) or CompTIA Security+ can improve job prospects. Entry-level roles often require a bachelor's degree in computer science or related fields and familiarity with security policies and compliance standards.

What are identity access management jobs?

Identity access management (IAM) jobs involve overseeing and implementing systems that control user access to digital resources and data. These roles typically require knowledge of security protocols, authentication methods, and tools like Active Directory or IAM platforms, and often involve ensuring compliance with security policies.

What are popular job titles related to Identity Access jobs in Michigan?

For Identity Access jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Identity Access jobs in Michigan look for?

The top searched job categories for Identity Access jobs in Michigan are:

Identity Access jobs near you
Infographic showing various Identity Access job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 29% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,237 per year, or $21.3 per hour.

Cyber Identity - FDE Engineering Manager

Detroit, MI • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Re-posted 23 days ago

Key responsibilities

  • Lead the design, integration, deployment, and operation of AI-enabled identity, access, and data protection solutions.

  • Translate client business needs and privacy requirements into technical solutions aligned with architecture and delivery goals.

  • Manage client delivery by overseeing scope, timelines, quality, and customer satisfaction.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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