Description

Key Responsibilities

• Define end-to-end Workday solution architecture across multiple modules
• Design scalable, secure, and high-performing Workday solutions aligned with enterprise architecture standards
• Lead large-scale Workday implementations and transformation programs
• Act as trusted advisor to senior business stakeholders and leadership teams
• Drive solution design, architecture governance, and design authority reviews
• Define integration architecture (APIs, middleware, PECI, Core Connectors, Studio)
• Oversee data architecture, Prism Analytics strategy, and reporting frameworks
• Establish best practices, standards, and governance models
• Identify opportunities for AI, automation, and innovation within Workday ecosystem
• Review and approve solution designs, configurations, and technical deliverables
• Mentor senior consultants and leads (L3) across functions
• Ensure compliance, security, and audit readiness across solutions

Qualifications

• 10+ years of experience in Workday / enterprise HCM / ERP solutions
• Deep expertise across multiple Workday modules (HCM, Integrations, Payroll, Talent, Analytics)
• Strong experience in enterprise architecture and large-scale implementations
• Proven ability to lead complex transformation programs
• Strong understanding of integration architecture, APIs, and data frameworks
• Experience in client advisory and executive-level engagement
• Bachelor’s/Master’s degree (Engineering / IT / Business or equivalent)

Preferred Qualifications

• Workday certifications
• Exposure to cloud and digital transformation strategy
• Strong understanding of AI, automation, and analytics within enterprise systems
• Experience across multi-country/global Workday deployments

Key Performance Indicators

• Enterprise solution quality and scalability
• Success of large-scale implementations (on-time, within scope)
• Stakeholder satisfaction (executive-level feedback)
• Architecture governance adherence and compliance
• Innovation and transformation impact (automation, AI adoption)
• Reduction in rework and technical debt
• Team capability building and mentorship outcomes

Competencies

• Enterprise Architecture & Strategy
• Cross-Module Workday Expertise
• Integration & Data Architecture
• Strategic Thinking & Innovation
• Stakeholder Advisory (Executive Level)
• Governance & Risk Management
• Leadership & Capability Building

Key Skills

Education

Bachelor's or Master's degrees