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People Operations Specialist

Own end-to-end US onboarding and Workday data integrity across payroll and compliance processes daily operations
Phoenix, Arizona, United States
Mid-Level
21 hours agoBe an early applicant
ThoughtSpot

ThoughtSpot

Provides AI-powered business intelligence and search-driven analytics, enabling users to explore and visualize data without technical expertise.

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HR Operations Professional

We are looking for a high-impact HR Operations professional who thrives in fast-paced, scaling environments and brings strong systems thinking, operational rigor, and data discipline.

This role sits at the intersection of HR Operations, Workday, Payroll Controls, and Contingent Workforce governance. You will play a critical role in strengthening our HR infrastructure, improving audit readiness, and ensuring Workday remains our single source of truth.

If you're excited by automation, AI-enabled workflows, process optimization, and building scalable governance models - this role is for you.

What You'll Do:

Onboarding & Workforce Lifecycle Excellence

  • Own end-to-end US onboarding operations in Workday
  • Drive system accuracy across offer → pre-onboarding → Day 1 activation
  • Partner with Recruiting, IT, and Payroll to ensure clean data flow and access readiness
  • Lead structured offboarding and involuntary termination compliance
  • Ensure workforce transitions (internal mobility, status changes, location changes) are audit-ready

Contingent Workforce & Compliance Governance

  • Manage Global contingent workforce lifecycle (contractor onboarding, extensions, conversions, offboarding)
  • Partner with Legal, Procurement, and Finance on workforce compliance
  • Monitor tenure thresholds, worker classification risks, and audit controls
  • Support contract-to-FTE conversion governance framework

Payroll Controls & Compensation Data Integrity

  • Serve as HR Ops lead for payroll audit validation
  • Implement and maintain preparer–reviewer (maker–checker) controls
  • Ensure bonuses (sign-on, retention, one-time payments) are structured correctly in Workday
  • Partner with Payroll to reconcile discrepancies proactively
  • Support SOC, audit, and compliance reporting

Workday Operations & Data Governance

  • Maintain high data integrity across Core HCM
  • Support business process framework updates and testing
  • Validate integrations impacting payroll and finance data
  • Drive reporting accuracy for Finance & HR stakeholders
  • Support Workday release testing and change governance

AI & Operational Automation

  • Leverage AI tools to streamline HR workflows and reduce manual effort
  • Identify opportunities for automation within onboarding, ticketing, and reporting
  • Partner with HRIS to optimize system-based controls
  • Contribute to HR AI initiatives and operational innovation

What You Bring:

  • 3–5 years in HR Operations, HR Systems, or People Operations
  • Strong hands-on Workday experience (Core HCM required)
  • Experience working with Payroll teams and compensation workflows
  • Solid understanding of US compliance (I-9, EEO-1, audit controls)
  • Experience with ticketing systems (Jira preferred)
  • Strong data mindset and comfort working with reports
  • Ability to operate in ambiguity and bring structure
  • Exposure to automation or AI-enabled tools (strong plus)
  • Highly collaborative, calm under pressure, solutions-oriented

What Will Make You Stand Out:

  • Experience in high-growth / pre-IPO companies
  • Built or improved payroll controls
  • Experience working across HRIS + Finance + IT
  • Built SOPs or governance frameworks
  • Experience in using AI for Automations
  • Comfort presenting process gaps and improvement plans to leadership

Mandatory and Required Skills for All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include the ability to:

  • Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
  • Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
  • Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
  • Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it's required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot's AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

Hybrid Work at ThoughtSpot

This office-assigned role is available as a hybrid position, reporting to the office in US - Phoenix.

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you're a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you're excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that's right for you.

About ThoughtSpot

The world's most innovative companies turn to ThoughtSpot's AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we're a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That's why we build products that make asking and answering data questions as natural as having a conversation.

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People Operations Specialist
Phoenix, Arizona, United States
Strategy & Ops
About ThoughtSpot
Provides AI-powered business intelligence and search-driven analytics, enabling users to explore and visualize data without technical expertise.