People Tech & Analytics Leader

8Fleet Inc.Los Angeles, CA
$150,000 - $165,000Hybrid

About The Position

8Fleet is hiring a People Tech & Analytics Leader to support its expanding multi-location workforce and help build a high-performance People function that scales with the company. This role is responsible for the end-to-end strategy, development, optimization, and scaling of people technology, workforce analytics, and AI-enabled employee experience solutions. The position serves as a key partner to People, Product, Engineering, Operations, and Business Operations teams to build scalable systems, actionable insights, and predictive models that drive workforce effectiveness, compliance, operational efficiency, and business growth. The ideal candidate will combine expertise in HR technology, workforce analytics, AI adoption, and cross-functional program leadership to transform data into strategic workforce decisions and create a best-in-class employee experience.

Requirements

  • Bachelor's degree in Human Resources, Information Systems, Data Analytics, Business, Computer Science, or related field.
  • 8+ years of experience in HR Technology, People Analytics, Workforce Planning, Business Intelligence, or related functions.
  • 5+ years leading enterprise-scale people systems, analytics, or workforce technology initiatives.
  • Experience partnering with Product, Engineering, and Operations organizations.
  • Strong understanding of HRIS, ATS, ticketing systems, workflow automation, and workforce management platforms.
  • Experience building and deploying workforce analytics dashboards and predictive models.
  • Demonstrated success leading cross-functional programs in high-growth, technology-driven environments.
  • Strong executive communication and stakeholder management skills.

Responsibilities

  • Own the strategy, governance, and optimization of People systems and related technologies.
  • Drive system adoption, compliance, data integrity, and process efficiency.
  • Partner with Product and Engineering to automate workflows and enhance employee-facing tools.
  • Build and scale workforce analytics capabilities that support business decision-making.
  • Develop predictive models focused on attrition, talent attraction, internal talent mobility, workforce planning, and labor risk.
  • Deliver dashboards, KPIs, and insights that enable proactive workforce decisions.
  • Lead AI strategy and adoption across the employee lifecycle.
  • Implement AI-driven solutions that improve employee support, ticketing, self-service, and operational efficiency.
  • Identify opportunities to automate manual processes and enhance the employee experience.
  • Partner with People, Product, Engineering, Operations, and Business Operations teams to prioritize and deliver workforce technology initiatives.
  • Lead large-scale projects from design through implementation and adoption.
  • Influence stakeholders through data-driven recommendations and measurable business outcomes.

Benefits

  • Equity
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