Telecommute Systems Architect

Job Description
Our team members are the key to our company’s success, and their health and well-being, as well as that of their families, is very important to us. To see our fill list of Team Member Benefits please visit our career site: The Workday Systems Architect / AI Lead is responsible for designing, architecting, and leading the implementation of Workday Financials, with a strong focus on intelligent automation, AI-driven insights, and scalable integration architecture. This role bridges Finance, HR, IT, and Data teams to deliver a future-state ecosystem that is efficient, secure, and data-driven. This individual will define enterprise architecture standards, lead Workday integrations, and embed AI/automation capabilities to optimize financial operations, reporting, and decision-making Assess current finance systems, applications, data flows, and processes to design a scalable future-state architecture centered around Workday Financials. Lead the design and implementation of Workday Finance solutions aligned with organizational strategy and growth objectives. Establish enterprise-wide Workday roadmap and technology governance strategy. Define end-to-end system architecture including integrations, data models, security, and reporting frameworks. Lead data conversion, validation, reconciliation, and cutover planning activities. Design and deliver complex Workday integrations using industry standards (REST, SOAP, JSON, APIs, middleware platforms). Develop integration patterns and reusable frameworks to simplify deployment and reduce technical complexity. Define data flows across Workday, ERP, and downstream systems ensuring integrity, security, and performance. Establish API governance, security standards, and monitoring practices. Lead the integration of AI and automation capabilities into Workday Finance processes (e.g., Design data architectures that enable advanced analytics, reporting, and machine learning use cases. Partner with data and analytics teams to develop intelligent insights and decision-support tools. Identify opportunities to leverage AI to improve financial operations, forecasting, and reporting efficiency. Define AI governance, responsible AI controls, and model oversight standards. Establish KPIs and success metrics to measure system performance and business value.  Lead design reviews and ensure adherence to best practices across all technical implementations. Drive solution delivery using Agile and modern implementation methodologies Collaborate cross-functionally to ensure alignment across Finance, IT, HR, and external vendors. Oversee performance optimization, logging, monitoring, and reporting capabilities. Bachelor’s degree in Computer Science, Information Systems, Finance Technology, or related field. ~8+ years of experience in software development, systems architecture, or enterprise applications. ~Proven experience with Workday Financials architecture and integrations strongly preferred. ~ Experience with enterprise integration platforms (e.g., MuleSoft, Boomi, TIBCO, Oracle SOA, webMethods). ~ Experience implementing ERP/Finance transformation initiatives. ~ Experience leading enterprise-scale Workday Financials transformations in complex organizations.  ~ Deep understanding of Workday architecture, integrations (EIB, Studio, APIs), and data structures. ~ Experience with cloud-based architectures and distributed systems. ~ Solid understanding of data architecture, warehousing, and data flow optimization. ~ Familiarity with AI/ML frameworks and data-driven solution design. ~ Experience designing intelligent logging, monitoring, and performance optimization frameworks. ~ Strong understanding of financial systems, reporting, and compliance requirements. ~ Knowledge of security, governance, and risk management in enterprise systems. ~ Experience working in Agile and fast-paced transformation environments.   Duties and responsibilities are typically performed in a professional office setting, but there may be times where you will need to be in operating areas. In these areas, you may be exposed to environmental factors including, but not limited to, second hand smoke and excessive noise.