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Key Responsibilities

AI enablement and automation

• Identify repetitive, manual, or error-prone Identity Governance activities that can be improved through AI, workflow automation, scripting, or analytics.

• Design, prototype, test, and operationalize AI-enabled solutions for use cases such as access request triage, entitlement analysis, certification support, policy interpretation, control monitoring, issue classification, and evidence preparation.

• Develop reusable patterns, prompt templates, automation components, and operating procedures that can be adopted across the IAM team.

• Integrate AI and automation capabilities with identity governance platforms, access management systems, ticketing tools, reporting platforms, and approved enterprise data sources.

• Establish appropriate human review points, escalation paths, and fallback procedures for AI-assisted IAM activities.

Identity Governance analytics and insight

• Build dashboards, reports, and analytical views that help the IAM team monitor access risk, certification progress, control performance, exceptions, orphaned accounts, inactive identities, and remediation status.

• Analyze identity and access data to identify trends, anomalies, control gaps, and opportunities for risk reduction.

• Translate analytical findings into clear recommendations for IAM leadership, application owners, control owners, audit stakeholders, and business partners.

• Improve the quality, consistency, and usability of IAM metrics and management reporting.

• Support data-driven prioritization of access reviews, remediation activities, application onboarding, and governance improvements.

Identity Governance delivery and controls

• Support the implementation and continuous improvement of identity lifecycle, access request, access certification, role, entitlement, segregation-of-duties, and access review processes.

• Partner with IAM engineers, application teams, security teams, risk and compliance functions, and process owners to deliver governed solutions.

• Ensure AI-enabled and automated processes align with security policies, privacy requirements, audit expectations, segregation-of-duties principles, and least-privilege objectives.

• Document process designs, data flows, control points, decision logic, technical configurations, and operational procedures.

• Participate in testing, change management, incident analysis, root-cause analysis, and post-implementation reviews.

Enablement and adoption

• Act as an AI and automation champion within Identity Governance.

• Create practical guidance, playbooks, demonstrations, training materials, and knowledge articles for IAM users and stakeholders.

• Coach team members on responsible use of AI, data handling, prompt design, automation opportunities, and validation of AI-generated outputs.

• Facilitate discovery workshops and working sessions to identify opportunities and define measurable outcomes.

• Promote repeatable, secure, and maintainable approaches rather than isolated or unsupported automations.

Governance and responsible AI

• Define and apply standards for the safe use of AI in identity-related processes, including data minimization, access controls, logging, traceability, model or prompt evaluation, and human oversight.

• Assess the risks, limitations, and failure modes of proposed AI solutions before production use.

• Maintain an inventory of AI-enabled IAM use cases, owners, data sources, controls, and review requirements.

• Monitor solution performance and accuracy, investigate exceptions, and recommend improvements.

• Ensure sensitive identity, access, employee, customer, and security data is handled only through approved tools and processes.

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package