PagerDuty

PagerDuty

Senior HRIS Analyst

San Francisco · Senior

Sponsorship not specified$127k-$191kDetected 30 days ago
Data AnalysisLLMsAgentic AIAccessibilityAgileSalesforceHRISLeadership

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • PagerDuty is looking for a Senior HRIS Analyst to join our centralized, dedicated Workday HRIS team.
  • If you're a big-picture thinker, a hands-on collaborator, and technologically proficient, results-oriented HRIS professional, we want to hear from you.

Responsibilities

  • Collaborate with cross-functional stakeholders to streamline processes, advise on new functionality, and drive user adoption.
  • Lead the review, testing, and implementation of Workday feature releases, including evaluating new AI-powered capabilities for fit and readiness before rollout to the business.
  • Partner with stakeholders to configure, test, and deliver AI-enabled features and automation within Workday, acting as a key contributor in bringing new AI-powered HR products from pilot to production.
  • Use AI tools in your own day-to-day work - for tasks like data analysis, documentation, testing, or reporting - to increase personal and team efficiency and free up time for higher-value work.
  • Partner with Security, Legal, and IT on responsible AI governance: data privacy, access controls, and change management for AI-enabled business processes.
  • Maintain data integrity across systems by running audits, analyzing data, and correcting discrepancies.

Requirements

  • 5+ years of Workday experience.
  • Experience working in a fast-paced, growth-focused company.

Nice to have

  • Agile or Scrum certification.
  • This role is expected to come into our San Francisco office two times per week, so you can thrive in your new role and fully embrace being a Dutonian!**
  • Hesitant to apply?
  • We encourage you to submit your resume even if you don't meet every requirement.
  • We value potential and consider each candidate's full professional story.
  • Whether you're exploring a career change or taking your next step, we look forward to reviewing your application.
  • If this just isn't the right role or time - sign up for job alerts!
  • Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia

Skills

  • PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations.

Compensation

  • Competitive salary

Benefits

  • As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations.
  • Learn more, including country-specific offerings, on our benefits site.
  • Comprehensive benefits package
  • Flexible work arrangements
  • Company equity*
  • ESPP (Employee Stock Purchase Program)*
  • Retirement or pension plan*
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
  • Paid volunteer time off: 20 hours per year

Company info

  • Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more.
  • What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations.

Equal opportunity

  • PagerDuty is an equal opportunity employer.
  • Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.
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This listing is sourced directly from PagerDuty's careers page and normalized into a canonical job model.