Principal Architect, People Data Governance
Tasks
- Define governance by design principles for data platforms
- Define people data governance architecture strategy
- Design data lineage stewardship certification access governance
- Design enterprise metadata management frameworks
- Develop reusable governance frameworks standards templates and operating models
- Establish governance controls for responsible AI use
- Evaluate emerging metadata AI and data management technologies
- Implement automated data quality monitoring anomaly detection validation SLA remediation
- Lead architecture decisions for governance tooling and platforms
- Make governance artifacts metadata lineage and policies accessible for analytics and AI
- Partner with HR technology data engineering security privacy legal AI teams
- Provide technical leadership and architectural guidance
- Translate governance objectives into technical standards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | Access Controls | Anomaly Detection | Certification Data | Data Architecture | Data Cataloging | Data Engineering | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Stewardship | Databricks | Embeddings | Go | Knowledge Management | Knowledge graph | Knowledge graphs | Master Data | Master Data Management | Metadata Management | Model Context Protocol | Observability | Privacy Regulated Data | PySpark | Python | RAG | Regulated data | Retrieval Pipelines | Retrieval-Augmented Generation | SLA management | SQL | Semantic Modeling | Vector Databases | Workday
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
Cities
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