Lead Analyst, People Technology & AI

ServiceTitan ServiceTitan · Enterprise · Canada · Remote

This role focuses on identifying and deploying AI and automation use cases within the HR tech stack, specifically using Workday HCM. The Lead Analyst will design and implement AI-powered workflows using tools like Workato AI agents and Claude APIs, integrating them into production-grade automations. The role also involves core HCM ownership, cross-functional partnership, and leading M&A integrations and process design efforts, with a strong emphasis on using AI for daily tasks like research and documentation.

What you'd actually do

  1. Identify and own a continuous pipeline of AI and automation use cases across the HR tech stack; from intelligent data validation to LLM-assisted document generation, classification, and employee-facing tooling.
  2. Design and deploy AI-powered workflows using tools like Workato AI agents, Claude APIs, and equivalent orchestration platforms, not as one-off experiments, but as production-grade automations with monitoring and documentation.
  3. Serve as the People Technology SME for Core HCM in Workday and our broader tech stack, owning configuration across the employee lifecycle.
  4. Lead and execute M&A integrations and new entity builds end-to-end including due diligence support, data migration via EIBs, Day 1 readiness, and post-close harmonization, ensuring a clean foundation for all downstream modules from day one.
  5. Mentor team members and stakeholders on system configuration, data models, and best practices; actively raise the collective technical skill floor and contribute to hiring decisions.

Skills

Required

  • 8+ years of hands-on Workday HCM configuration experience across complex, global tenants.
  • Demonstrated current AI fluency - you can walk us through specific tools you use (Workato, Claude, GPT, Zapier, or equivalent), how you've integrated them into real work, and what you've built or automated as a result.
  • Proven delivery in high-stakes programs: M&A, new entity builds, or major org restructuring - where you owned the technical workstream from due diligence through stabilisation.
  • Deep fluency in Workday's data model, security architecture, and business process framework, enough to reason confidently about downstream impact across modules you don't own.
  • Comfort in the integrations layer: you know the difference between EIBs, Studio, Orchestrate, Core Connectors, and APIs, can read logs, and can triage issues independently without being an integrations developer.
  • Strong documentation habits - you treat written documentation as a deliverable, not an afterthought, and you use AI to produce it faster without sacrificing quality.
  • Strategic mindset: you push back when requests would create technical debt, come with informed opinions grounded in best practices, and shape the roadmap rather than waiting to be assigned work.
  • Exceptional stakeholder communication skills - you can translate complex configuration decisions for both engineers and executives, and you know when to flag risk early.

What the JD emphasized

  • AI-native mindset
  • production-grade automations
  • AI in your own daily workflow
  • agentic or LLM-driven automation
  • current AI fluency
  • Vague interest won't cut it
  • Strong documentation habits

Other signals

  • AI-powered workflows
  • LLM-assisted document generation
  • Workato AI agents
  • Claude APIs
  • agentic or LLM-driven automation