Goal: Create a repeatable, automated process for generating test data used by HR trainers after each sandbox refresh - ensuring consistency, accuracy, and reliability.

Team: HRIS and Training & Development

Role: Sr Systems Analyst overseeing system architecture, automation design, and documentation, applying systems-thinking to reduce manual dependency and improve team efficiency.

This project highlights my ability to design operational systems that connection automation, communication, and trust. It reflects how I build infrastructure that scales, reduces manual effort, and improves visibility across teams—core capabilities in Digital Business Management.

After every system refresh, HR trainers spent hours manually recreating demo employees for training sessions. The process was inconsistent, error-prone, and dependent on institutional knowledge. Trainers had no visibility into when test users would be available, leading to delays and frustration across teams.

I approached the issue as a systems design problem: connecting technical automation with user transparency.

Interviewed HR trainers and administrators to map their workflows and timing pain points.

Audited existing post-refresh procedures and integration schedules to identify opportunities for automation.

Defined success metrics around visibility, consistency, and reduced manual intervention.

Through discovery, it became clear that reliability mattered as much as functionality: trainers needed to trust the system, not just use it.

I designed an automated workflow that rebuilt a complete demo employee profile on a schedule (a team of demo employees)—without manual input.

Configured recurring integrations that generated a test employee record with roles, permissions, and sample data.

Established naming conventions and documentation to ensure clarity for non-technical users.

Created notifications that informed trainers when the demo environment was ready for use.

Designed dashboard mockups for future iterations to display job status and automation logs.

The automation freed HR trainers from repetitive setup tasks and brought predictability to a once-chaotic process. Teams could begin training sessions immediately after sandbox refreshes, knowing test data would be ready and accurate. It also strengthened cross-team collaboration, since everyone shared visibility into the system timing and outcomes.

Systems only succeed when they’re both reliable and understood. This project reminded me that clarity and transparency are as vital to system design as technical precision.