Data Classification, Standards and Definitions Partner - Job Architecture & Skills
On-siteHyderabad, Telangana, India
Job Summary
Design enterprise data governance frameworks, standards, and data quality rules for Skills, Tasks, and Job Architecture domains. Translate governance decisions into actionable data assets, document definitions, and ensure the data catalogue remains complete with accurate lineage and sensitivity classifications. Run data quality check frameworks across source systems, derive proactive campaigns to remediate poor data patterns, and investigate root causes of systemic issues in Workday. Enable the Data Foundation by maintaining technical lineage documentation for the Workday-to-SkyHive feed and governing data sharing agreements. Serve as the key global point of contact for data classification matters, train local data champions, and collaborate with the Digital Team to align system configurations with global standards.
Required Qualifications
- Bachelor's degree in Data Science, Information Technology, HR Analytics, Business Analytics, or a related field
- Strong understanding of Workday architecture, configurations, and data structures
- 5+ years of experience in data management, HR analytics, or analytical roles
- Knowledge of data governance tools and methodologies, data lineage, data cataloging, and metadata management practices
- Familiarity with data quality assessment and remediation techniques
- Understanding of regulatory compliance requirements (GDPR, data privacy, etc.)
- Excellent analytical and problem-solving skills with attention to detail
- Strong communication skills with ability to translate technical concepts for business stakeholders
- Project management capabilities with experience leading cross-functional initiatives
Desired Qualifications
- Workday certification in HCM, Financial Management, or related modules
- Experience with data governance frameworks (DAMA-DMBOK, DCAM, etc.)
- Knowledge of AI/ML data requirements and data preparation processes
- Experience in pharmaceutical, healthcare, or highly regulated industries
- Change management skills and ability to influence without direct authority
- Global mindset with understanding of regional compliance and business requirements
- Experience with the SkyHive skills intelligence platform
- Experience working with Data Foundation / Snowflake environments
- Experience with the Cornerstone learning and talent management platform
- Strong hands-on experience with Skills, Jobs, Tasks, and Job Architecture data domains
- Strong experience with Job Architecture data structures, taxonomies, and governance
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