Organizational Data Manager
il y a 2 semaines
The Organizational Data Manager will lead the development and management of an organizational repository, ensuring seamless data migration and integration for the implementation of the Workday HRIS & ERP Finance platform. This role involves coordinating between HR, Finance, IT, and other departments to ensure data accuracy, accessibility, and alignment with organizational needs.
Key Responsibilities:
Data Management and Repository Creation:
- Design repository architecture to support Workday's data needs (e.g., employee data, payroll, time tracking).
- Structure the repository to store and manage HR data for migration to Workday.
- Oversee data migration: cleaning, mapping, validation, and testing for a smooth transition.
Collaboration and Stakeholder Management:
- Collaborate with HR, Finance, IT, and other teams to consolidate existing HR data.
- Act as the liaison between business users, technical teams, and Workday consultants.
- Work with HR to ensure the repository aligns with key processes and business needs.
Workday Integration:
- Optimize repository integration with Workday, addressing features like Core HR, Payroll, and Benefits.
- Partner with system architects to ensure smooth data flow between the repository and Workday.
- Assist in configuring Workday modules, ensuring they align with organizational processes.
Repository Management:
- Define and enforce processes to keep the repository updated.
- Maintain organization of data, ensuring proper categorization and easy retrieval.
- Implement best practices for repository structure, metadata standards, and version control.
Requirements:
- Bachelor's degree in Human Resources, Information Technology, Business Administration, or a related field.
- 5+ years of experience in HRIS, ERP Finance, HR data management, or project management, preferably with Workday or a similar HRIS.
- Strong understanding of HR processes.
- Project management skills, including experience leading cross-functional teams.
- Excellent communication skills and ability to collaborate with diverse stakeholders.
- Proficiency in data analysis and tools for data manipulation (Excel, SQL, etc.).
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