Senior Leader, Time, Labor & Payroll Solutions (Hybrid)

AECO

Inwood (TX)

Hybrid

USD 160,000 - 205,000

Full time

14 days+
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Job summary

AECOM is seeking a Senior Manager for Time, Labor & Payroll Solutions in a hybrid setup in Texas. The role leads enterprise applications, oversees a diverse team, and partners with IT and business stakeholders to deliver scalable, compliant solutions.

Responsibilities include end-to-end delivery, governance, and driving AI-enabled automation initiatives, while aligning with strategic business priorities and security standards across a global enterprise.

Qualifications

  • BA/BS degree plus a minimum of 10 years of relevant systems support experience.
  • Experience implementing, supporting, and maintaining time and labor and payroll solutions in a large, global organization.
  • Proven leadership experience with the ability to manage vendor resources and cross-functional teams.

Responsibilities

  • Serve as technology lead for time, labor and payroll enterprise applications and functions.
  • Shape and maintain the technology roadmap for time, labor and payroll solutions.
  • Lead AI and automation initiatives across time, labor, and payroll with governance and security focus.
  • Oversee end-to-end delivery of enhancements and projects from concept to deployment.
  • Provide technical leadership across time, labor, payroll, and related processes.

Skills

Leadership experience
Communication
Automation / AI
Project management
Time and labor knowledge
Payroll systems
Stakeholder management
IT governance
SDLC methodologies
Cross-functional collaboration

Education

BA/BS degree
10+ years experience in systems support

Tools

Oracle Time and Labor

Job description

AECOM is seeking a Senior Manager for Time, Labor & Payroll Solutions in a hybrid setup in Texas. The role leads enterprise applications, oversees a diverse team, and partners with IT and business stakeholders to deliver scalable, compliant solutions.

Responsibilities include end-to-end delivery, governance, and driving AI-enabled automation initiatives, while aligning with strategic business priorities and security standards across a global enterprise.

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