Workday HRIS Lead
Accurate Background- Full Time
- Junior (1 to 2 years)
Salary: $150K - $170K Employment Type: Full-Time
Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly.
As our Senior People Systems Analyst, you’ll own and scale the systems that power our People function, with Workday at the core. You’ll be the go-to expert for our HR tech stack—leading configuration, integrations, automation, and data governance across key Workday modules. This role is about more than keeping the system running; it’s about using technology to enhance the employee experience, streamline operations, and enable Harvey to grow globally with precision and care. You’ll work cross-functionally with HR, Finance, Legal, and IT to ensure our people systems are secure, scalable, and aligned with business strategy.
Custom AI solutions for law firms
Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.