Jubil ID: 162

Company: PwC US Consulting LLP

Location: Louisville, KY

Description:
WSemantic Modeling LeadWorkday
Inc.On-siteUSA
TX
Frisco United States of AmericaData ScienceYour work days are brighter here.At Workday
it all began with a conversation over breakfast. When our founders met at a sunny California diner
they came up with an idea to revolutionize the enterprise software market. And when we began to rise
one thing that really set us apart was our c

Qualifications:
The ideal candidate will be a highly skilled professional with 5+ years of experience in semantic modeling
possessing a strong understanding of data modeling principles and a proven ability to design and implement well documented
governed semantic layers You excel at bridging technical and business perspectives
collaborating effectively with diverse teams to drive data clarity
consistency
and accessibility for self service analytics and future AI/ML initiatives within a modern data stack 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 Knowledge of representation syntax

Benefits:
The annualized base salary ranges for the primary location and any additional locations are listed below Workday pay ranges vary based on work location As a part of the total compensation package
this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus
as well as annual refresh stock grants For more information regarding Workday’s comprehensive benefits
please click here Additional US Location(s) Base Pay Range: $137
100 USD - $243
600 USD

Responsibilities:
To enable this strategy
the ED&A team has worked with the business to identify critical business areas in which data and analytics can make a material difference in the execution of Workday’s strategic goals Each of these goals is being organized as a data product with a dedicated multi-functional team to drive a diverse set of data management
governance
and data analytics to realize relevant
measurable business change As part of ED&A and enabling this strategy
the Analytics Engineering team is at the forefront of transforming data into reliable and insightful assets We are responsible for building data products
ensuring data quality and governance through version control
and creating best practices for the organization The team also supports the creation of a unified and consistent view of our key business metrics
empowering data-driven decision-making across the organization and preparing our data for advanced analytical use cases As the Semantic Modeling Lead
you will help shape how our data is understood and utilized across Workday You'll spearhead the design and implementation of our semantic layer within our modern data stack
bridging the gap between robust data models and intuitive
business-ready data This critical role involves collaborating closely with analytics engineers and analysts to define a unified semantic model that empowers self-service analytics
ensures data consistency
and lays the foundation for future AI/ML initiatives Your expertise will be instrumental in establishing a clear
well-documented
and governed semantic layer that drives data-driven decision-making and unlocks the full potential of our enterprise data 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 Experience in defining and implementing data quality frameworks
particularly in the context of semantic models