Workday Technical SME

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Axle Informatics is a bioscience and information technology company advancing translational research through biomedical informatics, data science, artificial intelligence, and intelligent automation. We partner with research centers, healthcare organizations, and government agencies around the globe to transform complex data into actionable insights that accelerate scientific discovery and improve decision-making. Our multidisciplinary teams of experts in biomedical science, software engineering, data engineering, AI, automation, and program management develop innovative technologies, modernize data ecosystems, and create scalable solutions that enable the next generation of research and healthcare innovation.

We are seeking an experienced Workday Technical Subject Matter Expert (SME) to support the delivery of a Finance Transformation program, with primary responsibility for the HR domain. The successful candidate will provide technical expertise across Workday data structures, workforce classification, and data extraction, while owning the governance and documentation workstream for all HR side definition workshops.

This is a hands on technical role requiring deep expertise in Workday architecture, HR data models, and GCP pipeline development. The candidate will audit existing worker classification labels, draft new field definitions, build and validate the Workday extraction pipeline, and own the documentation outputs that feed the Data Dictionary and governance sign off record.

Where both HR and Finance domains are in scope simultaneously, the analyst will own the Workday extraction end to end, working in parallel with the Finance domain analyst under the architectural guidance of the GCP Data Engineer. The successful candidate will be comfortable operating across governance and technical work streams, moving between facilitating definition workshops and building extraction logic in GCP.

• Serve as the primary technical SME for Workday data structures, classifications, and integration patterns, advising on best practices and translating HR stakeholder requirements into technical solutions and structured data specifications.
• Audit existing Workday worker classification labels across all worker population types and draft new data fields to close gaps, validating all definitions against the Data Dictionary certification workflow before extraction begins.
• Design, build, and validate Workday integrations and extraction logic using RaaS, EIB, Core Connectors, and REST APIs, covering headcount, supervisory org hierarchy, job family and worker type classifications, and cost center assignments.
• Own the Workday extraction segment end to end where both HR and Finance domains are in scope simultaneously, working under the GCP Data Engineer's architectural guidance while the Finance analyst builds the Oracle extraction in parallel.
• Scope the payroll estate across multiple payroll platforms and contribute to the methodology for incorporating payroll originated costs -- overtime, bonuses, flexible benefits -- that do not flow through the primary HR system.
• Ensure extracted workforce data supports Function, Supervisory Organization, and Job Family reporting lenses, and maintain the mapping table between HR supervisory org and Finance cost center structures.
• Own all HR side definition workshop scheduling, capture, and documentation, producing outputs that feed the Data Dictionary and governance sign off record, and hand over the HR data model to the internal team.

• 5+ years working directly with Workday data models, HR classifications, and supervisory org structures, with direct experience auditing or remediating Workday configuration, not only consuming Workday reports.
• Strong understanding of worker lifecycle events and how classification and cost data should flow between HR and Finance systems at each event type, including role changes, cost center moves, cross billing updates, and transfers.
• Experience facilitating or supporting definition workshops with HR Operations, HR Business Partners, and system owners, and translating outputs into structured data specifications.
• Working level GCP pipeline experience: sufficient to build and validate Workday extraction logic using Cloud Dataflow and Cloud Composer under architectural guidance, and to query and validate data in Cloud SQL.
• Strong troubleshooting and root cause analysis skills.
• Excellent stakeholder management and communication…