Job Description :
- Partner closely with HR, Payroll, Finance, IT, and external vendors to translate business requirements into technical specifications, sequence diagrams, and test plans, driving clarity on edge cases, SLAs, and operational runbooks.
- Lead the full integration lifecycle requirements, design, configuration, development, unit testing, system/UAT support, cutover, and hypercare for Workday feature releases, bi-annual updates, and project-based enhancements.
- Implement robust monitoring, alerting, and incident response processes for Workday integrations (including error handling, retries, and data reconciliation), and drive root cause analysis and permanent fixes for production issues.
- Maintain and optimize data flows between Workday and other enterprise applications (e.g., identity and access management, ATS, compensation, benefits, and data warehouse platforms), ensuring data quality, timeliness, and consistency.
- Establish and enforce Workday integration development best practices, including code review standards, naming conventions, configuration management, and re-usable integration patterns.
- Create and maintain high-quality technical documentation (design specs, interface contracts, configuration guides, dependency maps) and provide knowledge transfer to peers, admins, and support teams.
- Proactively identify opportunities to streamline business processes through Workday automation, calculated fields, condition rules, and integration-driven workflows, and build business cases for proposed improvements.
- Track and evaluate new Workday integration features and product roadmap changes, assess potential impact to LiveRamps ecosystem, and lead experiments or POCs to validate value and feasibility.
- Define and track key success metrics (e.g., integration uptime, incident volume/MTTR, data defect rate, batch processing times, and audit findings) and regularly report progress to stakeholders.
- Act as a trusted advisor to HR, FINs, and business stakeholders on Workday data structures, integration constraints, and downstream impacts to reporting, controls, and compliance.
- Apply AI-assisted development and troubleshooting tools (e.g., code copilots, log analyzers) to speed up integration design, debugging, and documentation while maintaining high quality.
- Analyze integration telemetry with AI/ML techniques to identify recurring failure patterns, performance bottlenecks, and opportunities for smarter alerting and auto-remediation.
Workday Analyst • Chandigarh
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