Sr Analytics Engineer

Your work days are brighter here. We’re obsessed with making hard work pay off—for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it in the products we build and in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring optimism and drive. Whether you’re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop, and the support of a company invested in you for the long haul. About the Team The team focuses on developing sophisticated ontologies and knowledge graphs that capture the meaning and relationships within Workday’s structured enterprise data. The goal is to build an AI‑ready knowledge base that powers advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. About the Role Lead the vision, development, implementation, and governance of sophisticated ontologies and knowledge graphs. Architect and integrate the semantic layer to serve as an AI‑ready knowledge base. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements and backlog management. Collaborate closely with the Data Governance team to define policies and influence practices for semantics governance. Partner with analytics engineers and data architects to understand underlying data models in Snowflake and business domains. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Maintain comprehensive documentation for all aspects of the semantic layer. Evaluate and monitor the performance, quality, and usability of semantic systems to meet organizational objectives and AI application demands. Qualifications Basic Qualifications Master’s degree in Computer Science, Engineering, Information Technology, or related field plus two (2) years of experience in the job offered or related occupation. Requires 2 years (24 months) of experience in Semantic Engineering; Data Analytics; Data Architecture; Data Engineering; Solution Design; Data Warehousing; and Computer Coding. Other Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field plus five (5) years of experience in the job offered or related occupation. Requires five years (60 months) of experience in Semantic Engineering; Data Analytics; Data Architecture; Data Engineering; Solution Design; Data Warehousing; and Computer Coding. Salary Range: $160,056 – $216,500 *Position may allow for partial telecommuting. Equal Opportunity Employer Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. We consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations for qualified individuals during our application process. #J-18808-Ljbffr