Semantic Modeling Lead
| Company | Workday |
|---|---|
| Location | Frisco, TX, USA, Berwyn, PA, USA, Atlanta, GA, USA |
| Salary | $144300 – $216500 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 5+ years of professional experience in semantic modeling.
- 5+ years of experience in data warehousing concepts, dimensional modeling, and data governance principles.
- Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake.
- Strong analytical and problem-solving skills with a keen attention to detail and the ability to translate complex business concepts into logical ontologies.
Responsibilities
- Lead the development, implementation, and governance of ontologies and semantic models to drive data interoperability and semantic enrichment.
- Develop standards, guidelines, and direction for data modeling, semantics and data standardization in general at Workday to ensure a clear and consistent approach within the semantic layer.
- Design the semantic layer with a strong focus on enabling self-service analytics for business analysts and ensuring data is well-structured and semantically rich for AI and machine learning applications.
- Partner closely with analytics engineers and data architects to understand the underlying data models in Snowflake and develop a deep understanding of our business domains and data entities to provide guidance on how the semantic layer can be seamlessly integrated, optimized, and semantically enriched.
- Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, and ensuring clarity, consistency, and ease of understanding for all data users.
- Evaluate and monitor the performance and quality of semantic systems, ensuring they meet organizational objectives and external standards.
- Stay updated on emerging trends in semantic technologies, ontology use, knowledge organization, data modeling, and artificial intelligence to enhance the company’s capabilities in knowledge representation and data understanding.
Preferred Qualifications
- Knowledge of representation syntax (e.g. OWL, RDF, SKOS), and tools (e.g. Protégé, TopBraid, PoolParty).
- Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA, CDMP, DCAM).
- Familiarity with data visualization tools (e.g. Sigma, Tableau, Power BI) and how semantic layers can enhance their capabilities.
- Experience in defining and implementing data quality frameworks, particularly in the context of semantic models.
- Understanding of ontology design, and/or knowledge representation.
- Experience working with Agile or Scrum methodologies.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Science, or a related field.
- Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Information Science, or a related field.