The ideal candidate has solid Workday integration experience, practical knowledge of current Workday development tools, and experience with Workday Prism Analytics and Workday Extend. The candidate should be well versed in the Workday Recruiting and Talent ecosystems and also be familiar with Workday’s evolving artificial intelligence capabilities and the governance considerations associated with responsible enterprise AI.
Key Responsibilities
Solution design and development
Analyze business and technical requirements and translate them into integration designs, data mappings, technical specifications, test plans, and deployment approaches.
Evaluate solution options based on security, scalability, performance, maintainability, supportability, and lifecycle impact.
Design, build, test, deploy, monitor, and support Workday integrations using tools and technologies such as:
Workday Studio
Enterprise Interface Builder
Core Connectors
Workday Web Services
REST and SOAP APIs
Report-as-a-Service
Custom reports and calculated fields
Workday Orchestrate
XML, XSLT, JSON, CSV, and secure file-transfer technologies
Develop data transformations, validation and reconciliation controls, exception handling, monitoring, and alerting.
Troubleshoot complex issues spanning Workday, middleware, vendor platforms, and downstream applications.
Perform technical impact assessments for Workday releases, platform enhancements, enterprise initiatives, and changes to connected systems.
Workday Extend and Prism
Design, develop, test, and support Workday Extend applications that use Workday data, business processes, security, APIs, user-interface components, and orchestration.
Help determine whether requirements should be addressed through Workday configuration, integrations, Extend, Prism, another approved platform, or a combination of technologies.
Design and support Workday Prism solutions that combine Workday and external data for reporting, analytics, reconciliation, and operational use cases.
Build and maintain Prism datasets, pipelines, transformations, data-quality controls, security, lineage, and operational monitoring.
Apply reusable design patterns and development standards to improve delivery speed, consistency, maintainability, and user experience.
AI and platform innovation
Maintain awareness of Workday’s evolving AI capabilities and their potential impact on integrations, Extend applications, analytics, development, and user experience.
Participate in evaluations and proofs of concept involving Workday-native AI, Workday Illuminate, Workday AI Gateway, developer-assistance tools, intelligent agents, and related capabilities.
Identify opportunities for AI to improve development productivity, automation, data quality, decision support, and employee experience.
Apply responsible-AI principles, including privacy, security, transparency, appropriate data use, testing, human oversight, and governance.
Clearly distinguish between currently available product capabilities, roadmap concepts, and experimental solutions when making recommendations.
Delivery, operations, and controls
Conduct design and code reviews and support unit, integration, regression, negative, and reconciliation testing.
Coordinate controlled deployments across Workday tenants and connected systems, including post-production validation and support.
Participate in incident resolution, root-cause analysis, problem management, and continuous service improvement.
Maintain technical designs, mappings, test evidence, monitoring, runbooks, support procedures, and architectural decisions.
Apply cybersecurity, privacy, data-governance, change-management, segregation-of-duties, and least-privilege requirements.
Produce clear technical evidence for internal controls, audits, risk reviews, and compliance assessments.
Collaboration and knowledge building
Work effectively with global teams across Brazil, the United States, and other locations.
Communicate technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences.
Partner with external consultants while maintaining internal ownership of technical decisions, standards, documentation, and institutional knowledge.
Review supplier deliverables and identify unnecessary complexity, risk, cost, or long-term dependency.
Share knowledge through documentation, demonstrations, reusable examples, technical reviews, and mentoring.
Stay current on Workday releases, development capabilities, integration patterns, data technologies, and relevant AI advancements.
Required Qualifications
Bachelor’s degree in computer science, information systems, software engineering, data engineering, or a related field, or equivalent relevant experience.
Professional experience designing, developing, testing, and supporting enterprise integrations.
Hands-on Workday integration experience using several of the following:
Workday Studio
EIB
Core Connectors
Workday Web Services
REST or SOAP APIs
RaaS
Workday reporting and calculated fields
XML, XSLT, JSON, or CSV
Ability to convert requirements into clear technical designs, mappings, test plans, and operational documentation.
Understanding of integration security, authentication, authorization, credential management, data privacy, and least-privilege access.
Experience troubleshooting technical issues across multiple applications or platforms.
Familiarity with software-development lifecycle, testing, release management, change control, and production support.
Working knowledge of Workday Prism Analytics and Workday Extend, with meaningful experience in at least one.
Familiarity with enterprise AI developments and the ability to discuss their potential benefits, limitations, risks, and governance needs.
Strong written and verbal English communication skills.
Ability to collaborate effectively across cultures, functions, suppliers, and time zones.
Preferred Qualifications
Hands-on experience with Workday Extend, Workday Orchestrate, or Workday Prism.
Demonstrated experience in Talent, Performance, Development, and Recruiting Workday ecosystem.
Workday Pro accreditation or relevant Workday certification.
Experience with Java, JavaScript, TypeScript, Python, or another modern programming or scripting language.
Experience with middleware, API management, cloud services, data platforms, CI/CD, automated testing, or observability.
Experience supporting a large, global Workday environment with complex security and integration requirements.
Experience in a regulated environment with formal privacy, cybersecurity, audit, and change-control obligations.
Familiarity with Workday Illuminate, AI Gateway, Developer Copilot, intelligent agents, skills intelligence, or related Workday AI capabilities.
Knowledge of responsible-AI practices for employee-facing or HR technology.
Professional proficiency in Portuguese and English.
Experience working in an Agile product or platform team.
Core Capabilities
Strong technical and analytical problem-solving
End-to-end systems thinking
Secure and maintainable solution design
Ownership from discovery through production support
Clear communication of technical decisions and risks
Learning agility and continuous improvement
Effective collaboration across internal and external teams
Sound judgment when working with sensitive employee data
Measures of Success
Reliable, secure, and maintainable Workday integrations and platform solutions
Reduced recurring incidents and manual operational effort
Improved monitoring, documentation, and support readiness
Appropriate use of Prism, Extend, Orchestrate, APIs, and emerging Workday capabilities
Timely and well-controlled delivery of releases and enhancements
Stronger internal technical ownership and reduced dependency on external resources
Responsible exploration and adoption of AI-enabled capabilities
Required Skills
Preferred Skills
Accessible Design, Agility Jumps, Business Alignment, Cloud Computing, Cloud Migrations, Cloud Security, Coaching, Critical Thinking, Human-Computer Interaction (HCI), Hybrid Clouds, Multi Cloud Models, Organizing, Presentation Design, Software Development Life Cycle (SDLC), Software Development Management, Tactical Planning, Technical Credibility, Technical Writing
