Remote HR Service Center Manager

Ascensus; New York (NY); Remote; USD 70,000 - 100,000; Full time

Benefits offered by this job

401(k) match

Medical

Dental

Vision

Paid-Time-Off

Job summary

Ascensus seeks a Manager, HR Service Center to lead end-to-end HR support across the organization, ensuring timely, accurate, and consistent service while improving efficiency and associate experience.

You will supervise service center teams, partner with HR Centers of Excellence, and drive performance metrics, standardize processes, and explore automation with AI Agents to accelerate service delivery while protecting confidential data and complying with policies.

Qualifications

• Bachelor’s degree in HR, Business, or related field.
• 5+ years of progressive HR experience.
• 2+ years leading HR service delivery, shared services, or associate support teams.
• Strong understanding of HR policies, processes, and fundamentals.
• Experience in a shared services or global environment.

Responsibilities

• Lead the HR Service Center operating model with high-quality support.
• Monitor service performance and associate experience metrics.
• Provide leadership oversight for complex, sensitive, or high‑risk issues.
• Ensure smooth handoffs and escalation between support levels.
• Lead, coach, and develop HR Service Center associates.
• Set clear expectations, goals, and accountability.
• Standardize and document HR service processes and knowledge.
• Identify opportunities to automate inquiries with AI Agents.
• Ensure service delivery aligns with HR policies and risk standards.
• Support enterprise initiatives with M&A.

Skills

Strategic leadership

People management

Data-driven

Education

Bachelor's degree in HR or related field

Tools

HRIS systems

Job description

Ascensus seeks a Manager, HR Service Center to lead end-to-end HR support across the organization, ensuring timely, accurate, and consistent service while improving efficiency and associate experience.

You will supervise service center teams, partner with HR Centers of Excellence, and drive performance metrics, standardize processes, and explore automation with AI Agents to accelerate service delivery while protecting confidential data and complying with policies.