Direct the architectural scaling, maintenance, and technical
execution of the Mason Research, Intelligence, Data, and Automation
Systems platform;
Oversee the aggregation and indexing of complex institutional
datasets into unified information pipelines, enabling real-time
predictive analytics and executive visibility dashboards;
Enforce rigid data synchronization protocols across the
platform to ensure a single source of truth (SSOT) and eliminate
data fragmentation across administrative systems; and
Accelerate the systemic elimination of manual operational
overhead across all academic, research, and administrative units
through active partnership and exploration engagements of the
George Mason University business and research needs.
Enterprise Automation Strategy & Process Optimization:
- Lead the institutional automation lifecycle by identifying,
designing, and deploying modern robotic process automation (RPA),
intelligent workflows, functional apps, and system orchestration
models across academic and operational units, intentionally
converting slow, legacy department habits into high-velocity
digital workflows while maintaining a centralized automation
registry to minimize institutional technical debt;
- Partner with university stakeholders to systematically review
high-friction, manual workflows and transition them into
high-velocity, automated digital processes;
- Manage the automation registry to maximize the reuse of
software agents and minimize technical debt;
- Define, track, and document the financial and operational
return on investment (ROI) for all research and automation
deployments; and
- Build and maintain executive observability dashboards that
quantify exact administrative hours reclaimed, error rates
eliminated, and compute economics optimized, providing direct
visibility to ITS executive leadership.
Research Technology Innovation & Prototyping Pipeline:
- Manage the dedicated Research, AI, and advanced computing lane
in coordination with academic units and university research
stakeholders;
- Establish a structured methodology for evaluating emerging
technologies, high-performance computing (HPC) workflows, and
advanced digital capabilities;
- Orchestrate a "fail small, learn big" pipeline using rapid
prototyping and proofs-of-concept, directly utilizing student
internship pipeline to build and test initial capabilities;
and
- Coordinate computational research support, HPC workflows, RAG
models over licensed corpora, and open-science tools to secure and
accelerate the university's R1 research preeminence.
Cross-Functional Integration & Compliance Operations:
- Collaborate daily with the Applications, Architecture, and
Enterprise Infrastructure pillars within the CTO department to
ensure all automation and intelligence platforms scale smoothly
onto core infrastructure networks, ensuring seamless platform
convergence, and eliminating parallel development silos;
- Maintain strict operational alignment with the CIO’s area,
ensuring that all deployed research tools, automated bots, and
MIDAS projects fully comply with established university security
policies, data privacy protocols (e.g., FERPA), and institutional
risk frameworks; and
- Ensure that every automated script, data ingestion pathway,
software bot, and intelligence engine operates in strict compliance
with the cybersecurity policies, data privacy baselines (including
FERPA), and overarching governance frameworks established by the
CIO’s office.
Required Qualifications:
- Bachelor’s degree in related field, or equivalent combination
of education and experience;
- Significant experience (typically 6-9 years) of progressive
technical leadership in automation engineering, systems
development, data intelligence, or research computing
environments;
- Knowledge of enterprise automation frameworks, robotic process
automation (RPA) tools, and machine learning/intelligence platform
components;
- Knowledge of advanced data integration architectures,
cloud-hybrid platforms, and API-driven data pipelining
methods;
- Skill in managing complex technology portfolios, directing
rapid prototyping operations, and leading full-lifecycle software
or systems automation projects;
- Leadership skills—including the ability to supervise technical
engineering staff, assigning sprints, conducting code reviews, and
evaluating production performance metrics;
- Ability to translate ambiguous, high-friction administrative
and academic processes into clear, structured, and logical
automated workflows; and
- Ability to work effectively across distinct IT
divisions—including infrastructure, systems engineering, and
architecture teams—to align deployment configurations.
Preferred Qualifications:
- Master’s degree in related field;
- Professional certifications in Automation Engineering,
Agile/Scrum Project Management (e.g., PMP, PMI-ACP), or Enterprise
Architecture are highly desirable. CRA (Certified Research
Administrator), CDPSE (Certified Data Privacy Solutions Engineer),
AWS Certified Solutions Architect;
- Extensive experience (typically 10+ years) leading
enterprise-level automation strategies, managing large-scale
intelligence architectures, and supervising cross-functional
software or infrastructure development teams within a complex,
research-intensive enterprise;
- Knowledge of R1 research institution technology demands,
academic computing environments, and specialized research
datasets;
- Knowledge of enterprise data governance strategies, security
baseline standards, and higher education privacy regulations (such
as FERPA);
- Skill in utilizing TeamDynamix or similar enterprise ITSM
platforms to track, monitor, and prioritize technical automation
queues; and
- Ability to coach and mentor early-career developers and student
interns within a fast-paced, high-focus performance culture.
Instructions to Applicants:
For full consideration, applicants must apply for the
Director, Enterprise Research & Automation
Services at
https://jobs.gmu.edu/.
Complete and submit the online application to include three
professional references with contact information, and provide a
cover letter and CV for review.
Posting Open Date: August 19, 2026
Posting Close Date: September 2, 2026
Open Until Filled: No
Mason Ad Statement
George Mason University is a nationally ranked R1 research
university committed to creating a more just, free, and prosperous
world. With 40,000 enrolled students, George Mason is the largest
and most diverse public research university in Virginia, offering
degree programs at the master's, doctoral, and professional level,
along with certificates and credentials.
George Mason fosters an All Together Different environment for
students, faculty, and staff, driven by our core beliefs. We
believe in inclusivity over exclusivity; we believe in advancing
our mission by being willing to take risks, not avoiding them; and
we believe our best work is possible when we apply our diversity of
origin, identity, circumstance, and thought.
Equity Statement
George Mason University is an equal opportunity/affirmative action
employer, committed to promoting inclusion and equity in its
community. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, age, disability or
veteran status, or any characteristic protected by law.
Campus Safety Information
Mason’s Annual Security and Fire Safety Report is available at
http://police.gmu.edu/annual-security-report/