Department

PSD Data Science Staff

About the Department

The University of Chicago Data Science Institute (DSI) is a collaboration of scholars, researchers, educators, and practitioners pursuing the methodological, societal, and domain-oriented challenges of our increasingly data-centric world. The DSI is a research center setting the intellectual agenda for the field and an innovator and provider of data education at the undergraduate, graduate, and professional levels. Integral to DSI’s success includes the rewarding engagement outside the walls of the University through meaningful partnerships with industry, government, and the community.

Job Summary

Reporting to the Senior Director of Outreach, the Corporate Partnerships Assistant Director leads Industry Affiliate Program member recruitment efforts and executes strategic engagements to support the research and educational mission of the Data Science Institute (DSI), and to further the goals of its corporate partners. The Assistant Director develops and implements a corporate outreach strategy to meet Data Science Clinic needs, DSI goals for continued growth, and joint research opportunities. The Assistant Director manages the day-to-day execution of the Industry Affiliate Program while developing and managing new and existing corporate members. The Assistant Director delivers a great experience to members through high touchpoint communication and serves as member’s liaison internally.

Responsibilities

• Recruits and retains corporate Industry Affiliate Program members to meet demands based on data science student enrollments.
• Drives program revenue on an annual basis to meet projected budget goals.
• Identifies prospective corporate members and cultivates solicitation strategies to create a diverse portfolio of industry partners.
• Develops deep knowledge of the local data science community.
• Communicates and builds professional relationships with corporate partners.
• Collaborates with the Director of Data Science Clinic and clinic staff on project scoping and timelines.
• Gains command and familiarity with data science faculty expertise.
• Supports the Executive Director and Faculty Co-Directors by identifying prospective corporate members and providing strategy and briefing materials for meetings.
• Explores joint research opportunities between Industry Affiliate members and faculty research areas of interest.
• Manages administrative and logistical tasks for Industry Affiliate Program activities.
• In coordination with the Data Science Clinic and University Research Administration, manages the delivery of the member’s benefits, in accordance with the Industry Affiliate Program MOU.
• Partners with Industry Affiliate Program Core members to develop customized recruiting and professional education opportunities.
• Coordinates and partners with other university offices, such as Career Advancement and UChicagoGRAD.
• Surveys and assesses Industry Affiliate Program members about both needs and experiences and acts on data collected.
• Analyzes job market trends and data and adapts outreach accordingly.
• Uses in-depth knowledge and experience to administer the delivery of services to program participants and/or beneficiaries such as communicating with programs sponsors and academic advising for undergraduate students.
• Develops and communicates program priorities and performance standards and assesses operations using these criteria. Plans and conducts quality assurance reviews and recommends changes as appropriate.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• Bachelor’s or master’s degree in business, communications, marketing, a STEM field, higher education administration, or related field.

Experience:

• Minimum 5 years of professional experience in sales, recruiting, student services, or other related job.
• Prior experience working within the broad STEM fields.
• Combination of non-profit and corporate experience.

Technical Skills or Knowledge:

• Proficiency with MS Office, including Word, Excel, and PowerPoint.
• Experience in data management and analysis.
• Familiarity with Zoom video conferencing platform.

Preferred Competencies

• An understanding of and passion for data science.
• Professional and effective communication and presentation skills including appropriate email and phone etiquette.
• Demonstrable abilities in interpersonal relations, working with others and as a team.
• Superb organizational skills and able to manage multiple projects and tasks.
• Demonstrated ability to work independently and on deadline.
• High energy and enthusiastic.

Application Documents

• Resume (required)
• Cover Letter (required)

Job Family

Administration & Management

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled Weekly Hours

37.5

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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