Data Science Education Project Manager

The Concord Consortium (https://concord.org), a nonprofit research and development organization dedicated to transforming STEM education through technology, seeks a Project Manager to lead a set of two to three related projects involving technology and pedagogy supporting K-12 data science education. The project manager must be an organized, big-picture thinker who can also execute detailed tasks, taking charge of multiple threads of management and working in multiple areas of the projects as needed. We seek a personable staff member who interacts with a variety of external and internal project partners, including researchers, programmers, and teachers to ensure the success of the projects. We’re looking for a team player who is excited to work in a stimulating, technology‐rich environment to make a difference in education.

In this position you will:
Administration

  • Develop a solid understanding of all aspects of the projects.
  • Maintain project schedules, calendars, and document repositories; assist Principal Investigators in meeting deadlines; coordinate and prepare materials for workshops and meetings with teachers, project partners, and others.
  • Work with external partners to coordinate meetings, research trials, and interviews.
  • Coordinate calendar management for project teams. This includes scheduling meetings of team members within project and with people outside the team.
  • Coordinate with the Concord Consortium’s Finance team and outside entities to develop contracts.
  • Oversee and coordinate work toward data science education community development.
  • Execute administrative tasks to assist project PIs as needed.

Communications & Events

  • Coordinate and execute a data science education conference in 2023
  • Produce and manage all digital assets, including blog posts highlighting data science education in science classrooms and other contexts
  • Assist in creating content such as help web pages and video tutorials
  • Recruit and coordinate community members to participate in classroom and software trials
  • Coordinate management of webinars
  • Assist with development of research papers and professional conference presentations
  • Coordinate writing work toward related National Science Foundation and/or foundation proposals for data science education topics
  • Assist in design of curriculum and support materials
  • Assist in writing annual and final project reports
  • Participate in testing and quality assurance for software as needed

To accomplish this, you will need:

  • An undergraduate degree or beyond in STEM education, computer science, or a STEM field
  • Experience managing schedule, deliverables, and budget for multi-year projects of $500K+
  • Experience with innovative technologies for STEM teaching and learning
  • Excellent writing and editing skills
  • Ability to be a good team player: willing to pitch in and do what needs to be done to make the project a success; successful ability to work with people in small groups and collaborative settings
  • Strong background in Google Apps, Microsoft Word, Excel, modeling, and data collection
  • Comfort diving in and learning features of software systems quickly
  • Cognizance of the demands and constraints imposed on typical classroom teachers

The Concord Consortium offers a rich variety of benefits, including up to 4 weeks’ vacation, medical and dental insurance, a generous TIAA-CREF retirement plan, and life and short-term and long-term disability insurance. Our work environment is casual and stimulating. In general, we’re a creative, intelligent, happy bunch — check out our profiles.

To apply

If you are authorized to work in the United States on a full-time basis for any employer, and you have the required qualifications, please send your cover letter, curriculum vitae, and a writing sample to: hrjr+PMDS@concord.org.

The Concord Consortium is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any characteristic protected under applicable law.