The general purpose, scope, and responsibilities of this position. A Data Operations Manager is responsible for updating and managing the quality of the Pardee Center's data projects and database platforms, which exist in various formats. This position is responsible for leading a team of students tasked with updating data series for the International Futures model as well as other project data. In addition, this position is responsible for developing and maintaining database management tools developed by the Pardee Center, including DataGator.

Essential Functions

Managing and coordinating data updates, consolidation, and collaboration at the Pardee Center. This includes the following specific responsibilities: Supervise the IFs database: * Updating, maintaining, and improving the IFs database by leading a team of graduate students Documentation: * Ensure that the databases and data platforms are adequately documented and that the documentation is updated regularly and available to users Transparent and timely communication: * This position is a central node in the development of IFs that requires careful communication across all relevant parties in the development process and especially with the Director Manage data collaboration tools, including Datagator: * Facilitate in the testing, development, and user support of in-house data management software (DataGator) * Develop the tools to better ingest, process, and share data across community members Supervisory Duties: * Supervise and train Research Assistants * May be asked to support supervision of software or tools developed by third parties * May be asked to supervise a staff position Knowledge, Skills, and Abilities

• Must have a demonstrated commitment to fostering an environment in which faculty, staff, students, and community partners from diverse backgrounds and cultural identities feel welcome and valued
• Effective communicator in oral and written form
• Strong interpersonal communication skills to build relationships with research staff, student employees, and colleagues across campus
• Significant knowledge of Microsoft Access, Visual Basic 6, Visual Studio, the underlying code and structure of the International Futures modeling platform
• Ability to lead software development using a project management framework, including Agile, Scrum, or Github workflows
• Familiarity with data systems such as Redis, MongoDB, ElasticSearch, Hadoop, Spark, Flink, and Neo4J

Required Qualifications

• MA in Computer Science, Database Management, or related field
• Experience in programming with the following: Python, SQL, Visual Basic/Studio or other relevant coding languages
• Experience in data engineering, including hands-on experiences with designing and querying relational (SQL) databases, processing semi-structural data such as XML/JSON/CSV, and knowledge about non-SQL/big-data/graph data systems.
• Experience with Microsoft Office, including Microsoft Access

Preferred Qualifications

• PhD in Computer Science, Database Management, or related field
• Experience developing projects using d3.js, Java, and R
• Experience developing JSON-based REST API's to expose entities through the Web.
• Experience leading a team of developers through the lifecycle of a software development project, including planning, development, testing, releasing, and technical support.

Working Environment

• Fast-paced office environment
• Unexpected interruptions occur often and stress level is moderate to high
• Noise level is quiet to moderate

Physical Activities

• Ability to sit in front of a computer for an extended period of time
• Occasionally required to move about the office/campus with the capability of transporting objects up to 20 lbs

Work Schedule

• Monday - Friday, 8:00 a.m. - 4:30 p.m.

Application Deadline

For best consideration, please submit your application materials by 4:00 p.m. (MST) May 15, 2019

Special Instructions

Candidates must apply online through www.jobs.du.edu to be considered. Only applications submitted online will be accepted.

Salary Range:
Salary will be determined by the qualifications of the selected candidate balanced with departmental budget availability, internal salary equity considerations, and available market information.

Please include the following documents with your application:

1. Resume
2. Cover Letter

The University of Denver is committed to enhancing the diversity of its faculty and staff. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity, disability, military/ veteran status or any other status protected by law.

All offers of employment are based upon satisfactory completion of a criminal history background check.