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Pennsylvania State University

Land-grant university in University Park, PA

Facilities Technology and Automation Specialist

Business OperationsConfirmed live in the last 24 hours
Full-timeUniversity Park, State College, PA, USA$91.5k - $137.3k

About the Job

Requirements

  • Knowledge of facilities management, maintenance operations, project delivery, asset management, and administrative support functions.
  • Understanding of work-management processes, asset-lifecycle management, maintenance strategies, and facilities-related business applications.
  • Ability to analyze operational workflows and data-supported performance measures, identify opportunities for improvement, and evaluate the benefits and limitations of potential solutions.
  • Experience identifying, evaluating, implementing, or optimizing automation tools, machine-learning applications, or digital workflow solutions to improve business processes.
  • Knowledge of data governance, data collection, data quality, information management, database concepts, and data dependencies that affect automation and machine-learning use cases.
  • Understanding of cybersecurity fundamentals, privacy, data protection, technology governance, responsible automation, and human oversight.
  • Ability to translate operational needs into solution requirements, workflow designs, implementation plans, and measurable outcomes without performing software development or report/dashboard development.
  • Experience collaborating with vendors, consultants, PSU Information Technology, system owners, and diverse business stakeholders; ability to facilitate consensus and manage competing priorities.
  • Strong project coordination, organization, communication, consultation, statistical-thinking, and problem-solving skills.
  • Master's Degree and 6+ years of relevant experience, or an equivalent combination of education and experience.
  • Applicants must be authorized to work in the United States.

Responsibilities

  • Evaluate existing facilities, maintenance, project-management, asset-management, and administrative processes to identify opportunities for increased efficiency, reduced manual effort, improved control, and better service delivery.
  • Lead moderately complex process-improvement initiatives that leverage approved automation and machine-learning tools within OPP's facilities domain.
  • Document current-state and future-state business processes, identify root causes of inefficiency, and recommend practical solutions that improve operational outcomes.
  • Develop standards and repeatable practices for efficient, consistent, and well-governed business operations across OPP.
  • Collaborate with OPP leadership to identify opportunities where automation, machine learning, process redesign, and facilities business applications can improve operations, asset performance, maintenance delivery, project execution, and customer service.
  • Develop and maintain a facilities technology and automation roadmap aligned with OPP strategic objectives and operational priorities.
  • Analyze existing operational data, performance measures, and process evidence to define use cases, establish baselines, identify trends and opportunities, and evaluate the effects of implemented solutions.
  • Apply statistical thinking and appropriate analytical methods to assess process performance, identify potential predictive or machine-learning use cases, and support evidence-based recommendations, using existing reports and dashboards as inputs rather than developing them.
  • Assist in evaluating emerging automation and machine-learning technologies and determine their applicability, limitations, risks, and expected value for facilities-related business functions.
  • Serve as a liaison between OPP stakeholders and PSU Information Technology regarding technology initiatives, business requirements, integrations, security reviews, and platform constraints.
  • Identify, evaluate, pilot, and coordinate implementation of approved workflow-automation, process-automation, machine-learning, and digital-collaboration tools that address documented OPP business needs.
  • Translate operational requirements into solution criteria, use cases, workflow designs, implementation plans, acceptance criteria, and measures of success.
  • Assist departments with configuration, testing, validation, implementation, and adoption of approved solutions; coordinate technical development or platform changes with appropriate PSU Information Technology or vendor resources.
  • Establish appropriate human review, exception handling, data use, security, privacy, and operational controls for automated and machine-learning-enabled processes.
  • Monitor implemented solutions and measure benefits, including time savings, process consistency, quality, risk reduction, service improvements, adoption, and return on effort.
  • Support responsible use of machine-learning tools by documenting intended use, limitations, data dependencies, validation results, and required human oversight.
  • Promote effective use of enterprise data to support maintenance, operations, planning, project delivery, financial management, asset stewardship, and performance improvement.
  • Support data-governance initiatives that improve data quality, collection, stewardship, consistency, accessibility, and appropriate use across facilities business systems.
  • Collaborate with business areas to identify critical facilities information needs, data dependencies, and opportunities to improve data capture and management practices.
  • Support the definition and maintenance of data models, process measures, business rules, and data-quality checks needed for automation and machine-learning use cases; coordinate technical implementation with system owners.
  • Assist departments in using existing enterprise data resources and performance information to support informed operational decisions without assuming responsibility for report or dashboard development.
  • Collaborate with stakeholders using facilities and maintenance management systems, including IBM Maximo, Trimble Unity Construct, geographic information system platforms, Microsoft 365 solutions, financial and asset-management systems, and other approved enterprise facilities applications.
  • Assist with business-requirements gathering, process evaluation, workflow design, user-acceptance testing, system-configuration coordination, and operational improvements.
  • Identify opportunities for improved integration, data utilization, process controls, and information flow across facilities business systems.
  • Maintain clear documentation of business requirements, workflows, data dependencies, configuration decisions, testing results, operating procedures, and lessons learned.
  • Support governance activities related to automation tools, machine-learning solutions, facilities business systems, and enterprise data resources.
  • Help establish standards for the responsible, secure, transparent, and sustainable use of automation and machine-learning technologies within OPP processes.
  • Ensure business processes and proposed solutions align with University policies related to cybersecurity, privacy, data protection, records management, accessibility, and system usage.
  • Coordinate with PSU Information Technology, cybersecurity, privacy, procurement, legal, and system-owner stakeholders regarding technology risk assessments, security reviews, compliance requirements, and approved usage requirements.
  • Participate in evaluating technology vendors and consultants that support OPP facilities business processes.
  • Assist in coordinating vendor relationships, project deliverables, implementation activities, service expectations, and issue resolution.
  • Review vendor proposals and make recommendations based on business needs, operational impact, security and compliance considerations, sustainability, and long-term value.
  • Coordinate implementation efforts among vendors, PSU Information Technology, system owners, and OPP stakeholders.
  • Develop training, communication, and change-management strategies that encourage effective use of new automation, machine-learning, and facilities business-system capabilities.
  • Serve as a trusted resource for departments implementing new business processes and approved technology solutions.
  • Promote a culture of continuous improvement, responsible innovation, data literacy, and practical technology adoption throughout OPP.
  • Assist leadership in evaluating adoption, effectiveness, operational benefits, risks, and improvement opportunities.
  • Present concepts, findings, implementation options, and recommendations clearly and persuasively to managers, employees, vendors, and University stakeholders.

Desired Qualifications

  • Experience working within facilities management, maintenance, construction management, asset management, higher education, public sector, or a similarly complex operational environment.
  • Knowledge of business-process mapping, workflow design, continuous-improvement methodologies, work management, and asset-lifecycle practices.
  • Experience supporting automation or machine-learning technology deployments, user acceptance, process validation, and organizational change initiatives.
  • Experience working with enterprise data governance, information management, data quality, or system-integration programs.
  • Familiarity with cybersecurity, privacy, vendor risk, and technology-governance practices related to business systems, automation, and machine-learning tools.

About the Company

Pennsylvania State University

Land-grant university in University Park, PA

Pennsylvania State University is a multi-campus, land-grant public research university whose mission spans undergraduate and graduate education, research, and public service.

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