Director, Agentic Employee Relations Data & Systems

Salesforce Salesforce · Enterprise · Indianapolis, Illinois - Chicago, Georgia - Atlanta, Washington - Seattle, California -, Texas - Austin, IN · Remote

Salesforce is seeking a Director to lead the Agentic Employee Relations Data & Systems initiative. This role will architect the evolution of the Employee Relations function into a data-centric powerhouse, leveraging autonomous agents to analyze ER data, identify trends, and develop predictive models for workplace issues. The Director will own the HR Acuity platform, partner with data engineering, and deliver executive-level insights to inform human capital strategy.

What you'd actually do

  1. Utilize autonomous agents within the Agentic ER model to efficiently retrieve and analyze ER data.
  2. Serve as the primary owner for the HR Acuity investigation platform, moving beyond its initial stabilization to maximize feature utilization.
  3. Leverage ER data to identify emerging behavioral trends, mental health challenges, and policy violation patterns.
  4. Develop predictive models to identify early-warning signs of workplace conflict or attrition.
  5. Design and deliver high-impact Quarterly Business Review (QBR) decks for the Chief Operations and Finance Officer (COFO), Chief People Officer (CPO) and Employee Success Business Partners (ESBPs).

Skills

Required

  • 10+ years in Employee Relations, HR Technology, or People Analytics
  • 5+ years in a leadership role
  • Mastery of HR Acuity or similar ER case management platforms
  • Ability to integrate ER data with broader HRIS datasets

Nice to have

  • Proficiency in Tableau for data visualization
  • Proficiency in Slack for process automation

What the JD emphasized

  • Mastery of HR Acuity or similar ER case management platforms is essential.
  • Demonstrated ability to implement AI or automated workflows within a sensitive HR environment.

Other signals

  • Leverage ER data to identify emerging behavioral trends, mental health challenges, and policy violation patterns.
  • Develop predictive models to identify early-warning signs of workplace conflict or attrition.
  • Utilize autonomous agents within the Agentic ER model to efficiently retrieve and analyze ER data.