POSITION OBJECTIVE Working under general direction, serve as lead engineer/ architect to design, develop, operate, and manage core technical systems and services. Lead in the planning, design, testing, and implementation of technical cross-functional projects in the general areas of data science, artificial intelligence, machine learning and other advanced analytic solutions, as well as in support of initiatives of the enterprise data lake (currently Amazon Web Services). Function as a subject matter expert in one or more areas for the design, development, and implementation of data pipelines. Executes ideas to automate data ingestion, processing, and reporting. Ensures that the solutions they build meet high quality standards and can be supported with thorough documentation. Recommend alterations to development and design and improve quality of services and/or procedures. ESSENTIAL FUNCTIONS 1. Maintain in-depth knowledge of the university's technologies and architectures used to manage university data assets, enterprise data lake(s), and data analytics/data science infrastructures. Define future state, document current state, and develop roadmaps for these technologies and architectures. Recommend new and replacement technologies and solutions, lead the creation of university technology vision and roadmaps in this area, and lead efforts to phase out existing technologies in this area as they become obsolete. Envision and identify long-term goals and required investments and resources to achieve those goals. Follows policies/procedures and best practices when working with and accessing confidential or secure data. (30%) 2. Function as lead engineer/architect for major project efforts aimed at technology replacement and architecture revision in this general area of enterprise data lake(s) and data analytics/data science for the university, including defining project scope, budget, and staffing. (30%) 3. Provide thought leadership in technology direction, technical services, vendor partnerships, and industry adoption in this general area of enterprise data lake(s) and data analytics/data science. Use innovation and simplicity to create capacity with technologies. Monitor emerging technologies, evaluate their applicability towards current and future efforts, and work to develop strategies for integrating those technologies into the campus technology infrastructure at the appropriate campus and school levels balancing technical elegance and simplification. Effectively communicate vision and strategies to UTech leadership. (15%) 4. Provide mentoring, coaching and direction setting to team members. Motivate project team members to action. Identify common themes, make inferences, and draw conclusions. Ensure open communication with the project team. Address delicate situations and handle conflicts in such a way as to maximize opportunity and minimize exposure to risk. Ensure project team and staff training and development. Consult and provide advice, facilitate discussion, and resolve conflict; establish trust; build and use cross-functional relationships to accomplish work objectives. (15%) NONESSENTIAL FUNCTIONS 1. Participate in outside professional activities, including informal networking with peers at other institutions, to maintain knowledge on developments in the field. (5%) 2. Perform other duties as assigned. (5%) CONTACTS Department: Contact supervisor to review goals, accomplishments, and overall team performance at key stages. Daily contact with other UTech groups to tackle a variety of issues collaboratively and negotiate any shadow issues that may arise to resolve problems effectively. Contact other UTech personnel as needed. University: Daily contact with staff throughout the university to tackle a variety of issues collaboratively and negotiate