AI Systems Analyst, Ping Identity

• This role is ideal for someone who is highly organized, data-savvy, and excited to operate at the intersection of AI enablement, platform administration, and enterprise analytics
• 2–4 years of experience in platform administration, IT operations, business analysis, or a related role focused on enterprise SaaS tools or data platforms
• Analytical mindset with experience building reports or dashboards to track platform usage, adoption, or operational KPIs (e.g., in Tableau, Looker, Google Sheets, or similar)
• Strong organizational skills — comfortable managing multiple workstreams, tracking open items, and keeping stakeholders informed without dropping the ball
• Familiarity with enterprise AI or SaaS platforms — you don't need to be an engineer, but you're comfortable navigating admin consoles, user management interfaces, and platform settings
• Clear, confident communicator — able to translate technical platform details into plain language for business audiences and write documentation that people actually use
• Collaborative by nature — you work well across IT, data, and business teams and are comfortable navigating a fast-moving, cross-functional environment

Desirable

• Ping Identity is seeking a detail-oriented and analytically curious AI Analyst / Admin to join the Data & AI team within the Office of the CIO. This is a unique opportunity to be at the center of Ping's enterprise AI ecosystem — helping govern, optimize, and expand how we deploy AI tools and platforms across the organization
• As an AI Analyst / Admin, you'll be the operational backbone of our AI platform portfolio. You'll manage platform configurations, track adoption and usage metrics, support AI governance processes, and help connect the dots between our tools, our people, and our strategic priorities
• Administer and configure AI platforms across Ping's enterprise AI stack (e.g., Glean, Databricks, and other deployed tools), including user provisioning, access management, connector configuration, and settings governance
• Support the AI governance process by maintaining a registry of approved AI tools, tracking use case submissions, monitoring compliance with AI policies, and flagging risks or anomalies
• Coordinate vendor relationships and platform operations, including license management, renewal tracking, support escalations, and liaison work with external AI vendors
• Assist in onboarding and enablement of new AI tools and capabilities — creating documentation, training guides, and FAQs to help Identians get the most out of available platforms
• Support the AI Automation Engineer(s) with platform-level configuration needs, agent publishing workflows, and operational tasks that keep automation running reliably
• Triage and respond to AI platform support requests, partnering with IT and business stakeholders to resolve access issues, configuration questions, and integration challenges
• Monitor platform health and performance, proactively identifying issues and working with vendors or internal teams to resolve them
• Contribute to AI use case intake and tracking, helping teams log, prioritize, and move use cases through the pipeline in coordination with the broader AI & Data team