HR Technology Automation Analyst

Build & Deploy HR Automation

• Execute against pre-identified automation priorities across recruiting, onboarding, performance management, compensation, and employee lifecycle workflows
• Conduct comprehensive audits of current HR processes and identify high-value automation opportunities across the employee lifecycle.
• Design and deploy automated workflows across recruiting, onboarding, performance management, compensation, and key employee lifecycle processes.
• Build scalable, repeatable systems that support firm growth without adding administrative burden.
• Eliminate manual touchpoints and process friction by reducing duplicate data entry, unnecessary approval layers, and fragmented reporting.
• Rapidly prototype, test, and scale high-impact solutions

AI Enablement in HR

• Embed AI tools such as ChatGPT, Claude, and Microsoft Copilot into HR processes
• Orchestrate LLM-powered agents for research, summarization, documentation, outreach, and follow-up workflows.
• Build practical artificial intelligence use cases including automated reporting, sentiment analysis, job description drafting, and workforce insights.
• Partner with HR and IT teams to ensure responsible, compliant, and ethical use of AI-powered tools and data.
• Train HR team members on effective AI usage to improve day-to-day productivity and decision-making quality.

HR Systems & Integrations

• Serve as system administrator / power user for core HR platforms including the Human Resources Information System, Applicant Tracking System, performance management systems, and employee engagement tools.
• Support system integrations to ensure clean data flow, reporting accuracy, and a seamless employee experience across platforms.
• Support system enhancements, configuration updates, and vendor relationships to ensure platforms meet evolving business needs.
• Support testing and implementation of new features, tools, and system upgrades from planning through go-live.
• Monitor system performance and continuously refine automation logic.

Data & Analytics

• Build dashboards and automate leadership reporting to eliminate ad hoc data requests and enable faster decision-making.
• Improve data accuracy, structure, and accessibility across all HR systems to ensure a single source of truth.
• Transition HR reporting from reactive requests to proactive insights.
• Leverage analytics to identify trends in hiring, retention, engagement, and performance, transitioning HR from reactive reporting to proactive, predictive insight.

Governance & Risk Management

• Ensure data privacy, security, and regulatory compliance across all HR systems, tools, and automated workflows.
• Establish documentation standards and internal controls around automation and AI-driven workflows to support audit readiness and operational continuity.
• Monitor system performance continuously and drive ongoing optimization to ensure HR operations remain efficient and reliable.

What Success Looks Like (First 12–18 Months)

• Measurable reduction in manual HR administrative tasks, freeing the team to focus on strategic priorities.
• Automated reporting delivered to leadership on a regular cadence without ad hoc requests.
• Clear AI use cases implemented with documented return on investment and measurable impact.
• Improved data integrity across HR systems, providing leadership with reliable, actionable workforce information.
• HR team operating faster, with fewer errors and significantly less administrative friction.

Required

• 3+ years of experience in HR operations, Human Resources Information Systems, People Analytics, or HR technology.
• Experience improving and automating HR processes.
• Exposure to AI and automation tools in a professional environment (ex. ChatGPT, Claude, Copilot, PowerAutomate, APIs).
• Strong analytical skills with the ability to translate complex business needs into practical, scalable technical solutions.
• Comfortable working cross-functionally with IT, Finance, and Operations stakeholders at all levels.

Preferred

• Proficiency in Workday.
• Experience leading major system upgrades from requirements through adoption.
• Background in data visualization tools such as Sigma.
• Experience working in financial services.

Competencies

• Systems Thinking: Quickly identifies process inefficiencies and sees opportunities for structural improvement across complex systems.
• Builder Mindset: Executes with urgency, tests ideas rapidly, and iterates toward the best solution without waiting for perfect conditions.
• Change Management: Comfortable challenging legacy workflows and driving adoption of new tools and processes across the organization.
• Data-Driven Decision Making: Anchors recommendations and priorities in data and measurable outcomes rather than intuition or convention.
• Cross-Functional Influence: Builds credibility quickly across teams and translates technical work into language that resonates with business stakeholders.