Director, Data Operations

Overview

Department
:
Booth Kilts Center

Job Summary

The James M. Kilts Center for Marketing’s mission is to advance the study and practice of The Chicago Booth Approach to marketing through three mutually reinforcing areas of work: facilitating scholarly research, offering programs to the Booth community, and disseminating thought leadership. The role of Director, Data Operations will be responsible for the success of the Center’s data archive administrative activities.

This archive is a valuable data resource for scholars at the University of Chicago and around the world. Joining the Kilts Center offers the opportunity to play a pivotal leadership role at the intersection of academia, data, and innovation. The Director will join a high-performing team and play a meaningful role in shaping the strategy, operations, and evolution of the widely-used academic data repository.

The role involves managing others, working closely with faculty and PhD students, industry partners, and other internal departments.

The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges.

Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud to claim: an unmatched faculty; degree and open enrollment programs offered on three continents;

a global body of nearly 56,000 accomplished alumni; strong and growing corporate relationships that provide a wealth of lifelong career opportunities.

• Drives innovation through the thoughtful adoption of new technologies, including generative AI, to improve service, scale, and impact.
• Builds and mentors a talented team in a collaborative, intellectually engaging environment that values continuous improvement and professional growth.
• Executes strategic plans related to the vision and mission of the Center.
• Coaches, develops, manages performance, and supervises staff, including a customer service team.
• Ensures successful customer service operations for data subscribers worldwide.
• Cultivates a culture of excellence in serving hundreds of data subscribers.
• Manages a portfolio of data products available to academic scholars around the world.
• Ensures comprehensive organization, tracking, and reporting across all operations.
• Maximizes efficient use of technologies, including generative AI, and software platforms.
• Proactively identifies opportunities for operational improvement and leads process development and adoption.
• Monitors and reports on financial activity for subscriptions and operations.
• Works across the organization with contracts, accounting, legal counsel, and information technology partners.
• Builds relationships with internal and external stakeholders across academia and industry.
• Guides responsible data governance and policy reviews, and supports the security of Center-housed datasets.
• Participates in data provider relationship management.
• Tracks progress, conducts analysis, as well as prepares for and facilitates project meetings. Ensures adherence to quality standards and reviews project deliverables.
• Leads and coordinates the successful integration of vendor tasks and tracks and reviews vendor deliverables.
• Performs other related work as needed.

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

Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.

Certifications: ---

• Bachelor’s degree.
• Master’s degree.

• Background working in an academic setting.

• Familiarity with data…