Senior, Internal Audit AI Enablement & Automation

Okta Okta · Enterprise · San Francisco, CA · Internal Audit-135

Okta is seeking a Senior, Internal Audit AI Enablement & Automation to own the build, adoption, and measurement of their AI automation program. This role is hands-on, focusing on delivering AI tools to improve internal audit functions, tracking metrics, and representing Internal Audit in company-wide AI networks. The program is already live and scaling, requiring someone to build and maintain automations, manage the intake pipeline, report on AI impact, coordinate adoption through working groups, and contribute to external AI initiatives.

What you'd actually do

  1. Build and maintain AI automations across all Internal Audit functions using the department's existing AI Hub and SOX testing engine as the foundation. Manage the problem statement intake pipeline, acknowledging every submission with a clear disposition (built, deferred, or declined with rationale) and prioritizing the backlog using impact, frequency, and build complexity. Keep the intake process simple, and maintain visibility into open problem statements so the team knows submissions go somewhere.
  2. Maintain the AI Impact Dashboard with accurate, function-level attribution. Protect the integrity of the measurement methodology, tracking protocols, time categories, and verification standards. Surface delivery risk early, contribute to periodic AI Value Reports, and support executive and Audit Committee-ready materials that translate hours saved into dollar value and strategic audit impact.
  3. Maintain regular check-ins with each Working Group, coordinate the Bi-Weekly Showcase cadence, and track each group against its phased plan. Flag delivery risk early and assist Working Group leads in sequencing deliverables against the overall automation backlog.
  4. Track individual participation against department expectations. Reach out directly one-on-one, not via group reminder, to any team member with no recorded participation. Lead every team communication with what auditors gain from participating, not what is required of them.
  5. Maintain the AI Hub knowledge repository and AI Learning Catalog, keeping resources current, connected to real audit tasks, and tracked at the individual level. Follow up individually with anyone below learning pace. Represent Internal Audit in cross-functional and company-wide AI initiatives — contributing IA's automation learnings to broader enterprise conversations and returning external intelligence back into the IA tool-building program. Success is measured by bidirectional value: what IA contributes to the enterprise, and what the enterprise contributes back.

Skills

Required

  • CPA, CIA, CISA, or other relevant certification (active or in progress); CISA preferred
  • 3–6 years of internal audit experience across at least two disciplines (internal audit, IT audit, SOX business process, SOX ITAC/ITGC, or data analytics)
  • Sufficient audit technical depth to build automations that meet Internal Audit quality standards — including evidence documentation, workpaper integrity, and SOX testing requirements across financial and IT controls
  • Demonstrated ability to build or operate AI tools, automations, or structured prompt workflows applied to real audit work — not just coursework or certifications
  • Demonstrated ability to represent a team or function in cross-functional settings — can prepare, present, and defend a point of view to audiences outside Internal Audit, including Finance leadership and enterprise program stakeholders
  • Comfortable managing multiple concurrent workstreams with defined deliverables and deadlines
  • Strong written communication skills — able to translate technical output into plain-language narratives for non-technical audiences
  • Hands-on experience with AI productivity tools (Claude, Gemini, ChatGPT, or equivalent)

Nice to have

  • Big 4 public accounting or IT audit advisory experience
  • Experience with audit management platforms (AuditBoard, Workiva, or equivalent)
  • Experience coordinating working groups, project timelines, or cross-functional initiatives
  • Experience representing a function or team in cross-functional working groups, communities of practice, or enterprise-level program networ

What the JD emphasized

  • build, adoption, and measurement of Okta Internal Audit's AI automation program
  • turning auditor problem statements into working tools
  • tracking every measurable metric to a verified strategic outcome
  • representing Internal Audit across Finance and company-wide AI networks
  • The AI enablement program is live, tools are in production
  • scale that engine
  • hands-on builder
  • program coordinator
  • adoption driver
  • This is not a strategy or advisory role — it is a delivery role
  • ships tools
  • closes the loop on problem statements
  • translates recovered audit capacity into documented strategic value
  • Automation Delivery - This is the core of the role. Everything else supports it.
  • Build and maintain AI automations
  • Manage the problem statement intake pipeline
  • Measurement & Reporting - This role owns the data that makes recovered hours real and attributable.
  • Maintain the AI Impact Dashboard
  • Protect the integrity of the measurement methodology
  • Working Group Coordination - The Working Groups are the primary vehicle for team-wide adoption. This role keeps them moving.
  • Individual Contributor Activation - Broad participation is essential. This role removes the friction that prevents it.
  • Culture, Knowledge Management & External Collaboration - This role sustains momentum through recognition, a maintained knowledge base, and active participation in company-wide AI initiatives.
  • Represent Internal Audit in cross-functional and company-wide AI initiatives
  • Sufficient audit technical depth to build automations that meet Internal Audit quality standards
  • Demonstrated ability to build or operate AI tools, automations, or structured prompt workflows applied to real audit work
  • Demonstrated ability to represent a team or function in cross-functional settings

Other signals

  • building AI automations
  • AI automation program is live
  • tools are in production
  • scale that engine
  • ships tools
  • measurement and reporting of AI impact
  • cross-functional AI initiatives