Senior Identity & Access Management Associate

PwC; Minneapolis (MN); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Medical, dental, vision

401k

Holiday pay

Vacation

Sick leave

Job summary

PwC is seeking a Saviyant Identity and Access Management Sr Associate to secure access across enterprise systems and help design identity strategies. You will build client connections, navigate complex situations, and mentor others while advancing identity and access programs in a Cybersecurity practice.

The role spans configuring Saviynt, RBAC, and PAM, analyzing access needs, and delivering practical recommendations from data and logs.

Qualifications

• Bachelor's degree required.
• 3+ years of experience required.
• Saviynt IAM implementations in client settings.
• RBAC and privileged access management knowledge.
• Translating client needs into technical tasks.
• Mentoring junior practitioners.
• Interpreting data to refine recommendations.

Responsibilities

• Implement Saviynt IAM configurations for secure access across systems.
• Analyze access requirements and design RBAC models.
• Provision, modify, and remove user access across cloud/on-prem.
• Support PAM activities by reviewing entitlements.
• Troubleshoot identity governance and authentication issues.
• Document access workflows and system configurations.
• Interpret audit trails to identify anomalies and improvements.
• Collaborate with client teams on IAM workstreams.

Skills

Saviynt IAM

RBAC

Privileged access mgmt

Data analysis

Mentoring

Client communication

Education

Bachelor's degree

Tools

Saviynt IAM

Job description

PwC is seeking a Saviyant Identity and Access Management Sr Associate to secure access across enterprise systems and help design identity strategies. You will build client connections, navigate complex situations, and mentor others while advancing identity and access programs in a Cybersecurity practice.

The role spans configuring Saviynt, RBAC, and PAM, analyzing access needs, and delivering practical recommendations from data and logs.