Functional Title: Director for Educational Effectiveness
Department: Deans’ Office – The College
Supervisor: Associate Dean of the College
The Director of Assessment, reporting to the Associate Dean of the College and with direction from the Assistant Dean and Executive Director of the Center for Excellence in Teaching and Learning, will play a critical role in the development and implementation of an assessment program in departments and programs across the College. The director will coordinate and oversee assessment activities in the College and will work closely with the College’s Assessment Committee on a variety of activities and programs across all academic (undergraduate and graduate level) and non-academic departments. With support from the AS&E Office of Institutional Research, and working closely with the Center for Excellence in Teaching and Learning and other College partners, the director will also facilitate educational initiatives that emerge from assessment work.
Understands, interprets and guides faculty and academic and non-academic administrators on assessment practices and procedures. Using independent judgment and experience, acts on behalf of the Dean in providing advice and identifying best practices for development and implementation of assessment plans in departments and programs. Reviews accreditation standards and prepares, maintains and disseminates information related to accreditation for the College. Leads the College’s Assessment Committee and participates in other committees related to student success. Provides leadership, innovation and support for enhancing teaching and learning through the identification, evaluation and integration of effective educational innovations.
Assessment Plans (25%)
Education Innovation (20%)
Committee Staffing (10%)
Current Research in Assessment and Educational Innovation (10%)
Program Evaluation (5%)
Reporting and Analysis (10%)
Master’s degree in social sciences, educational research or related field required, Ph.D. is preferred. Five or more years of direct experience in higher education assessment preferred. Significant experience in regional accreditation processes is preferred. Knowledge of institutional research is helpful. The ability to navigate multiple priorities and excellent organizational and communications (verbal and writing) skills are necessary.
This document describes typical duties and is not meant to limit management from assigning other duties as required.
I am a collaborative engineering professional with substantial experience designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics based on Natural Language Processing (NLP), and reporting solutions based on intuitive architecture that effectively analyze and process petabytes of structured and unstructured data. I have an extensive background in architecting and developing large-scale data processing systems and serving as a subject matter expert in data warehousing solutions while working with a variety of database, analytical, and statistical based technologies. This experience in architecting highly scalable, distributed systems using different open source and specific vendor tools as well as designing and optimizing large, multi-petabytes of clustered data warehouses were primarily in the clinical/ medical research, academia, computer integrated manufacturing, military battlefield self-awareness systems, aerospace, and financial/investment systems. Based on this experience I was able to integrate state-of-the-art Big Data technologies from IBM and Oracle into the overall architecture and lead a multi-team of Senior Data Scientists, Software Engineers, and Enterprise Architects through the design, development, engineering testing, and implementation phases. I have been working in industry and academia with Analytics and Artificial Intelligence in designing and constructing neural networks to be used as computational models in machine learning based on NLP and linguistics. These models were used as the basis to support the execution of statistical applications developed in R and SAS languages, and algorithms based on discreet and continuous mathematics and inter-operability with rule-based application languages. I have used NLP as a means to examine and analyze patterns of data, statistics, and related content relative to their behaviors predicated on metamorphosis processes as well as to the next level which is providing human intelligence with a secondary self-awareness that is technology generated and in support of the primary self-awareness which is human intelligence. In summary, this means that as data and related content changes due to interactions with applications, human interactions, and streams of research, the use of these NLP applications become self-aware of these new patterns through interpretative learning. Based on this self-awareness information is derived that allows actions and recommendations to be readily added to these patterns and the extension of these patterns across other patterns by predictive and inferential models. The net result is that what we learn on a day-to-day basis by interacting with data, statistics, and content is exponentially and organically increased but the relevancy from this is meaningful information that works for us, for example, the ability to give back to us the missing chemical component or surgical technique for DNA molecular cell structure breakdown in order to address a specific cause to autism, or increase business competitiveness in your specific marketplace by niche. The application of NLP was the missing link to the work completed in Analytics.
I have many years of experience and applied knowledge as a Senior Enterprise Technical Systems Architect, Technical Project Manager, Software Engineer and Data Scientist that addressed the SDLC of an enterprise and/or system from business process analysis, systems/software architecture, development, quality engineering testing, quality assurance and training, for example, with Natural Language Processing (NLP)/Analytics, Financial Systems, ERP, etc. My current fulltime position was with Oracle Managed Cloud Services (OMCS), the Oracle Corporation. I served in multiple and concurrent roles, for example, Senior Lead Integration Architect for Advisory Integration Services, Data Scientist, Product Development, and Advanced Cloud Technologies. The specific responsibilities that I had included advising OMCS Technical Operations and Service Delivery Managers on Cloud enabled Adapters and supporting technologies; consulting with OMCS Customers and/or 3rd Party Implementers relative to requirements and specific applied knowledge needed for integration of their environments with Fusion Applications; and collaborated and served as the conduit to Product Development Teams per adapter technology, Fusions applications and technologies for understanding the current status of releases and the supporting infrastructure and platform technologies. In addition, I was responsible for the architecture, deployment, and management of OMCS R&D Lab for Engineered Systems that included: Exalogic, Exadata, SuperCluster (SSC), and BigData (BDA) This management included platform enhancements, application and technology development for testing, deployment, and a training environment for OMCS Support Engineers. In parallel to my position with Oracle, I held several part-time academic positions, for example, Adjunct Professor at Syracuse University iSchool, Cornell University, Saint John Fisher College, Resident Senior Fellow at Rochester Institute of Technology at Saunders College of Business, and I served as Senior Advisor to the University Alliance for SAP Studies at the University of Wisconsin. I currently serve as a professor for Penn State University’s Enterprise Architecture Graduate and Data Science Programs, and a Senior Fellow at Carnegie Mellon University as a Distinguished Lecturer for Systems/Software Architecture Development. In addition, an enormous amount of professional experience in the computer industry includes several key corporations where I also worked in parallel to my full-time positions in the 1980’s through 1990’s with major computer corporations: Control Data, HP, General Data, GE/Honeywell, Prime, Burroughs/UNISYS, Apple, Digital/Compaq, Xerox, Danka, EDS, CSC, Amdahl, Digital etc., as a means to enrich my Information Technology skills through applied knowledge.
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