People Analytics and Planning Specialist

Ford Motor Company

Specialist driving people analytics projects at Ford to enhance workforce decisions and talent strategies. Collaborating on insights, developing analytics solutions, and improving HR practices.

Posted 4/24/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $86,720 - $142,120 per yearWebsite

About the role

Key responsibilities & impact

Leverage advanced analytics and predictive modeling to solve complex HR problems, identify trends, and inform strategic decisions (e.g., retention, performance, talent acquisition) to maximize human capital ROI through data-backed insights and scenario planning.
Serve as a consultant and external spokesperson on people analytics trends, objectives, and policies. Provide thought leadership, staying current on emerging trends and best practices. Demonstrate expertise in people analytics, including AI/ML for HR planning, and contribute to new concepts and standards.
Develop and maintain analytics platforms for integrating diverse employee data (e.g., turnover, performance, engagement). Collaborate with external vendors to access advanced analytics tools and techniques.
Partner with HR and business leaders to identify critical questions, prioritize initiatives, and use data to inform decisions in workforce planning, organizational design, and talent management. Collaborate with internal/external experts to research, analyze, and present multi-source data for problem-solving.
Develop dashboards and reports to effectively communicate key HR metrics, trends, and actionable insights to senior leadership through compelling data visualizations and storytelling.
Utilize employee listening tools to gather feedback, identify trends, and address employee experience issues. Lead the design, development, and deployment of analytics products that drive data-informed workforce decisions, aligning employee needs and organizational effectiveness.
Participate in developing and maintaining an HR data governance framework to ensure data quality, security, and regulatory compliance.
Contribute to the roadmap for continuous evolution of the people analytics function, incorporating new technologies, processes, and methodologies in collaboration with senior People Analytics and HR leaders.

Requirements

What you’ll need

Bachelor’s Degree or Master’s Degree (Preferred) in Mathematics, Statistics, Analytics, Human Resources, Organizational Development, Business Administration, or any other related discipline.
Experience in hypothesis testing, statistical modeling, and data-driven problem-solving.
Strong background in critical thinking, project lifecycle planning, and organizational development.
Proficient in AI prompt engineering, model evaluation, and the application of Responsible AI principles.
Expertise in creating intuitive reports and dashboards for executive-level audiences.
Deep understanding of HRIS, workforce policies, and cross-functional stakeholder management.
Advanced skills in the Microsoft Office Suite.

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

advanced analyticspredictive modelingpeople analyticsAI/ML for HR planninghypothesis testingstatistical modelingdata-driven problem-solvingAI prompt engineeringmodel evaluationHRIS

Soft Skills

critical thinkingproject lifecycle planningorganizational developmentcollaborationcommunicationdata storytellingleadershipproblem-solvingstrategic decision-makingstakeholder management