Workday Data Operations Manager

Role Description:

Roles & Responsibilities:

• Lead, mentor, and develop team of Data Operations Analysts. Establish best practices and ensure consistent execution of HR data processes
• Act as the primary escalation point for complex Workday issues, providing guidance and timely resolution
• Oversee Workday mass transactions, EIB loads, data corrections and reporting activities to ensure accuracy, compliance, and confidentiality
• Perform regular audits and implement controls to maintain data integrity
• Monitor performance, stability, and reliability of Workday and related HR Systems
• Partner with HR and IT stakeholders to identify opportunities for process improvements and system enhancements
• Lead and participate in HR Technology projects and initiatives
• Ensure SLAs are met, and a positive user experience is delivered
• Maintain documentation, knowledgebases to support experience and scalability

Basic Qualifications and Experience:

• 5 years minimum experience in human resources with hands on experience with Workday
• 4 years experience managing an operations team that handles HR mass transactions
• Masters degree OR Bachelors degree and 5 years of HR IS experience

Functional Skills:

Must-Have Skills:

• Strong working knowledge of Workday including using tools such as EIBs, Mass Operation Management, data audits
• Experience in creating and using Workday reports
• 5+ years experience in human resources and corporate service center supporting Workday
• 4+ years experience managing an operations team that handles HR mass transactions

Soft Skills:

• Excellent analytical and troubleshooting skills
• Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
• Strong verbal, written communication and presentation skills
• Ability to work effectively with global, virtual teams
• Strong technical acumen, logic, judgement and decision-making
• Strong initiative and desire to learn and grow
• Ability to manage multiple priorities successfully
• Exemplary adherence to ethics, data privacy and compliance policies.