Business Automation Developer

About the role

The Mason Automation Center of Excellence (CoE) is being established to partner with the Mason Community to automate business processes, provide standards for automation, and share knowledge with employees and students of the university, as well as other constituents.

Responsibilities

• Designs, develops, and implements new automation solutions to meet functional and strategic requirements;
• Works as part of the Automation Center of Excellence (CoE) team to achieve production and operational goals;
• Works collaboratively with constituent groups including developers, analysts, and users to develop and maintain low-code automation solutions across the institution;
• Establishes an expertise on automation programming and the CoE software architecture and development framework;
• Performs basic testing of automations and solutions before handing off to business systems analysts and end users for acceptance testing (UAT);
• Works with the CoE team to perfect operational processes and maintain uptime targets for existing automations.

Outreach

• Trains and mentors personnel as needed, including Fiscal Services employees, other university employees, and interns to grow knowledge and capability across the institution and in our student body;
• Participates in outreach to staff to improve identification of and self-support of automation and business process redesign that supports the CoE mission of automation forward processes and systems.

Administrative Duties

• Completes all assigned administrative duties and ensures all documentation is complete and accurate.

Other Duties As Assigned

• Supports the CoE, Fiscal Services Program Office, and the Director of Fiscal Services Programs as needed.

Qualifications

• High school diploma or equivalent;
• Demonstrated experience (generally 2 - 4+ years) implementing, maintaining, and improving low-code process automation solutions (such as RPA, Microsoft Power Platform, etc.);
• Documented knowledge of the Software Development Life Cycle (SDLC) and software engineering best practices, including alignment to established standards and frameworks, as evidenced by experience across requirements, design, development, testing, deployment, and maintenance, and applying practices such as version control, documentation standards, and change control in an enterprise environment;
• Documented knowledge of secure automation practices when handling sensitive data, as evidenced by applying least-privilege access, protecting credentials through approved secret handling, and ensuring logging and documentation to avoid exposing regulated or sensitive information;
• Demonstrated skill partnering with functional, non-technical stakeholders, and translating needs into actionable requirements, as evidenced by conducting stakeholder interviews, mapping current-state and future-state processes, documenting functional requirements, and defining acceptance criteria that support development and User Acceptance Testing (UAT) handoff;
• Demonstrated skill in coaching, training, or knowledge transfer, as evidenced by mentoring peers, supporting onboarding, developing job aids, or delivering training to increase capability among staff, students, or interns;
• Demonstrated ability to validate automation functionality and support operational stability, as evidenced by executing unit or functional tests, supporting UAT handoff, triaging defects, and troubleshooting failures using logs, and running results to improve reliability and uptime;
• Demonstrated ability to produce support-ready documentation including runbooks, as evidenced by maintaining solution documentation and operational guidance such as dependencies, runtime assumptions, restart steps, and troubleshooting guidance;
• Demonstrated ability to identify and qualify automation opportunities, as evidenced by assessing candidate processes for feasibility and value, proposing future-state workflows, developing basic effort, benefit estimates, and delivering automation solutions aligned to business outcomes;
• Demonstrated initiative and informal leadership, as evidenced by leading workstreams, coordinating dependencies, identifying risks and mitigations, and driving work from ambiguity to execution without formal supervisory responsibility.