We are seeking a skilled Data Classification, Standards & Definitions Partner to join our Global Workforce Data Standards team. This role is critical to establishing and maintaining consistent, high-quality data assets across our global Workday implementation. The successful candidate will serve as a subject matter expert, driving data standardization initiatives while ensuring compliance and enabling our Data Foundation strategy.
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Translate business decisions into usable, consistent data assets across the organization
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Document and maintain approved data definitions and data quality (DQ) rules
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Maintain comprehensive data catalog, glossary, lineage documentation, and standardized definitions
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Ensure data consistency and traceability across all systems and processes
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Lead data classification initiatives to categorize and organize enterprise data assets
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Classify data according to sensitivity, regulatory requirements, and business criticality
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Manage data sharing agreements and ensure appropriate access controls
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Serve as key point of contact for domain-specific data knowledge and expertise
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Investigate root causes of data issues across Workday systems (beyond detection to resolution)
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Analyze local Workday rules, validations, and configurations that impact global standardization efforts
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Identify where local configurations create barriers to cloning or implementing global standards
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Distinguish between legitimate legal/compliance constraints and legacy or preference-based rules
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Enable data initiatives for the Data Foundation and serve as key subject matter expert within assigned scope
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Support AI and analytics initiatives through proper data classification and standardization
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Collaborate with Data Foundation team to ensure data readiness for advanced analytics and AI applications
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Train and support Local Data Champions across regions and business units
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Build comprehensive knowledge content on data management for AI applications and employee self-service
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Develop training materials and documentation to support data literacy initiatives
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Facilitate knowledge transfer and best practice sharing across the organization
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Bachelor's degree in Data Management, Information Systems, Business Administration, or related field
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3-5 years of experience in data management, data governance, or business analysis roles
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Proven experience with Workday HCM/Financial systems and configuration management
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Experience with data classification, metadata management, and data quality initiatives
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Strong understanding of Workday architecture, configurations, and data structures
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Experience with data governance tools and methodologies
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Knowledge of data lineage, data cataloging, and metadata management practices
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Familiarity with data quality assessment and remediation techniques
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Understanding of regulatory compliance requirements (GDPR, data privacy, etc.)
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Excellent analytical and problem-solving skills with attention to detail
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Strong communication skills with ability to translate technical concepts for business stakeholders
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Project management capabilities with experience leading cross-functional initiatives
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Change management skills and ability to influence without direct authority
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Global mindset with understanding of regional compliance and business requirements
Preferred Qualifications
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Workday certification in HCM, Financial Management, or related modules
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Experience with data governance frameworks (DAMA-DMBOK, DCAM, etc.)
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Knowledge of AI/ML data requirements and data preparation processes
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Experience in pharmaceutical, healthcare, or highly regulated industries
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Multilingual capabilities to support global operations
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