Seeking an experienced Lead Engineer specializing in Workday Prism Analytics. This role is crucial for driving enterprise HR data architecture, implementing Workday Prism Analytics, shaping workforce data strategy, and managing large-scale data migration initiatives. The ideal candidate will possess deep expertise in Workday data models, analytics, data integration, governance, data quality, and HR/payroll transformation, including experience with complex divestiture and separation programs. Collaboration with HR, Payroll, IT, business leaders, and external vendors is key to delivering scalable data solutions and enabling data-driven decisions.

This position offers a unique opportunity to influence enterprise-level data strategies and contribute to significant transformation projects. You will be instrumental in building robust and reliable data systems that support critical business functions.

Lead the architecture, design, and implementation of Workday Prism Analytics solutions to meet enterprise HR and Payroll reporting needs. Design scalable data models and end-to-end data pipelines, integrating Workday with external sources. Define robust data ingestion, transformation, and validation frameworks to ensure analytical accuracy. Develop and maintain data architecture standards and reusable components.

Create executive dashboards, workforce KPIs, and analytical reports. Enable consolidated reporting across HR, Payroll, and organizational structures. Partner with stakeholders to define analytics roadmaps and workforce planning requirements. Ensure reporting solutions are accurate, consistent, usable, and performant.

Own HR and Payroll data strategy for Workday implementations, migrations, and divestiture programs. Lead workforce data separation, extraction, transformation, cleansing, migration, and validation. Manage large-scale data migration across Workday, payroll vendors, and downstream platforms. Define data mapping, transformation rules, and migration readiness criteria.

Establish data governance frameworks, ownership models, and data quality standards. Define data segregation, security controls, and access management for sensitive workforce data. Ensure compliance with privacy and regulatory requirements. Implement data validation, reconciliation, and auditability processes.

Collaborate with Workday Functional, Integration, HR, Payroll, IT, and reporting teams. Define data dependencies and coordinate data flows. Resolve data issues with payroll vendors and external systems. Translate complex business and technical requirements into practical data solutions.

Provide technical leadership, mentoring junior consultants and developers. Review technical designs and ensure adherence to standards. Drive delivery governance, risk management, and quality assurance. Establish delivery plans and metrics. Promote adoption of Workday Prism Analytics and continuous improvement.

We are looking for a seasoned professional with extensive experience in Workday data architecture, data management, and enterprise HR technology transformation. Hands-on experience with Workday Prism Analytics and workforce reporting solutions is essential. Proven ability in designing data models, ingestion frameworks, transformation pipelines, and data validation processes is required.

A strong understanding of HR and Payroll data structures, organizational data, and workforce reporting requirements is necessary. Candidates should have demonstrable experience leading large-scale data migration, data separation, reconciliation, and cutover activities. Experience supporting Workday implementations, divestitures, acquisitions, or complex organizational separation programs is highly valued.

Familiarity with data governance, data security, access controls, data quality, and compliance requirements is a must. The role demands experience coordinating with Workday Functional, Integration, Payroll, and external vendor teams. Strong stakeholder management, team leadership, architecture governance, and delivery management capabilities are critical. Excellent analytical, problem-solving, communication, and documentation skills are expected.