AI-Driven HRIS & Compensation Project Lead

Jobtailor; Arcueil; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Jobtailor in the Île-de-France region seeks an experienced compensation and HRIS leader to shape equitable policies and robust data systems that support business goals. Turn HR data into actionable insights, run benchmarks, and coordinate cross-functional projects with HR, IT, Finance, and external partners; experience with AI use cases is a plus and handling confidential data is required.

Master’s in HR and 8+ years in compensation or HR data, fluent English, and a methodical, team-oriented

Qualifications

• Master’s degree in human resources or related field.
• 8+ years experience in compensation, HRIS, HR data, or HR project management.
• Strong command of HRIS, project management, data analysis, and Excel/Google Workspace.

Responsabilités

• Develop and maintain a compensation policy aligned with business goals.
• Improve HRIS reliability, data flows, and processes.
• Turn HR data into actionable insights to support decisions.
• Benchmark compensation data and make recommendations.
• Map HRIS landscape and lead data quality improvement plans.
• Coordinate HRIS and compensation projects with cross-functional teams.
• Ensure secure data exchanges between HR tools.
• Explore AI use cases and develop related automations.
• Support stakeholders as practices evolve.

Connaissances

HRIS Management

Data Analysis

Project Management

Compensation Analysis

AI Use Cases Exploration

Formation

Master’s degree in Human Resources

Outils

Excel

Google Workspace

Description du poste

Jobtailor in the Île-de-France region seeks an experienced compensation and HRIS leader to shape equitable policies and robust data systems that support business goals. Turn HR data into actionable insights, run benchmarks, and coordinate cross-functional projects with HR, IT, Finance, and external partners; experience with AI use cases is a plus and handling confidential data is required.

Master’s in HR and 8+ years in compensation or HR data, fluent English, and a methodical, team-oriented