AI-Driven HR Shared Services Specialist (Hybrid)

Ford Model e U.S.; Naucalpan de Juárez; Hybrid; MXN 360,000 - 480,000; Full time

Job summary

Ford of Mexico is seeking a Senior Associate, HR Shared Service, to execute core HR functions such as HRIS, compensation, benefits, staffing, and compliance. The role emphasizes tech-enabled service delivery and collaboration with modern tools to support employees and managers.

The ideal candidate will have 1+ year in HR Operations or Shared Services with a focus on leveraging technology, AI tools, and data analytics to improve processes in a hybrid work environment.

Qualifications

• Bachelor's degree preferred in HR, Business Administration, Information Technology, Digital Business, or related field.
• Minimum 1 year of experience in HR Operations, HR Shared Services, Customer Service Operations, or Business Process Improvement roles with technology used to solve problems.
• English proficiency level C1 or C2 required; Portuguese proficiency is desired.

Responsibilities

• Execute core human resources functions including HRIS, compensation, benefits, staffing, and compliance.
• Deliver exceptional, tech-enabled customer service to employees and managers, addressing inquiries with speed, empathy, and accuracy.
• Bridge traditional HR operations with modern technology to optimize service delivery and maintain compliance.

Skills

Microsoft Office Suite

Excel

PowerPoint

AI Fluency

Power BI

Python

Customer service

Analytical mindset

Adaptability

Teaching digital tools

Education

Bachelor's degree (preferred)

Tools

Power BI

Python

Copilot/ChatGPT

Job description

Ford of Mexico is seeking a Senior Associate, HR Shared Service, to execute core HR functions such as HRIS, compensation, benefits, staffing, and compliance. The role emphasizes tech-enabled service delivery and collaboration with modern tools to support employees and managers.

The ideal candidate will have 1+ year in HR Operations or Shared Services with a focus on leveraging technology, AI tools, and data analytics to improve processes in a hybrid work environment.