Sr Analytics Engineer

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

Lead the vision development implementation and governance of sophisticated ontologies and knowledge graphs that capture the meaning and relationships within Workdays structured enterprise data. Architect and integrate the semantic layer to serve as an AI-ready knowledge base enabling applications such as advanced analytics prompt engineering for large language models and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards guidelines and best practices for knowledge representation semantic modeling and data standardization across Workday to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development including intake mechanisms for new requirements (e.g. from AI prompt engineering initiatives) and backlog management ensuring efficient and iterative delivery. Collaborate closely with our Data Governance team to define policies and influence practices for the creation evolution and governance of semantics in an AI-driven environment ensuring trust and ethical use. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed optimized and semantically enriched for advanced AI consumption and traditional BI /Analytics tools. 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 ensuring clarity consistency and ease of understanding for all data users. Evaluate and monitor the performance quality and usability of semantic systems ensuring they meet organizational objectives external standards and the demands of AI applications. *Position may allow for partial telecommuting.

Salary Range: $160056 - $216500

About You

Basic Qualifications

Masters 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 the following:

• Semantic Engineering;

• Data Analytics;

• Data Architecture;

• Data Engineering;

• Solution Design;

• Data Warehousing; and

• Computer Coding.

Other Qualifications

Bachelors 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 the following:

• Semantic Engineering;

• Data Analytics;

• Data Architecture;

• Data Engineering;

• Solution Design;

• Data Warehousing; and

• Computer Coding.

Workday Pay Transparency Statement

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. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Our Approach to Flexible Work

Workday uses a hybrid Flex Work Model. Most roles require at least 50% in-person time each quarter in a Workday office or with customers prospects or partners with specific expectations varying by role team country and business needs.

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