People Tech & Analytics Leader
Quick Summary
People Systems & Technology Own the strategy, governance, and optimization of People systems and related technologies. Drive system adoption, compliance, data integrity, and process efficiency.
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,
8Fleet is hiring. 8Fleet is a rapidly growing LA based technology and logistics startup building the operational infrastructure for both autonomous and non autonomous rideshare fleets. With our anticipated growth, we’re searching for a People Tech & Analytics Leader to support our expanding multi location workforce and help build a high performance People function that scales with us.
About the Role
~1 min readWe are looking for a People Tech & Analytics Leader who is responsible for the end-to-end strategy, development, optimization, and scaling of people technology, workforce analytics, and AI-enabled employee experience solutions. This role 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 combines 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.
Responsibilities
~1 min readOwn 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.
Requirements
~1 min readBachelor'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.
What We Offer
~1 min readBase Salary Range: 150k to 165k plus equity
8Fleet is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This job description may be updated at any time without prior notice.
Location & Eligibility
Listing Details
- Posted
- June 19, 2026
- First seen
- June 19, 2026
- Last seen
- June 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 63%
- Scored at
- June 19, 2026
Signal breakdown
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