Manager Strategic Data Analytics, Office of Research

Manager Strategic Data Analytics, Office of Research

Job Title:

Manager Strategic Data Analytics, Office of Research

Posting

Start Date:

11/10/25

Work Arrangement:
Hybrid – office 2-3 times per week.

Current UC employees must apply internally via Success Factors.

Next Lives at the University of Cincinnati.

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie First institution, combines research prowess with a physical setting that the New York Times has called “the most ambitious campus design program in the country.” UC’s momentum is strong as the anchor of the Cincinnati Innovation District, the oldest co‑op program in the country with students earning $94 million annually through paid experiences, an academic health system, and a member of the Big 12 Conference.

The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more .

UC is a mission‑driven organization committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC’s success.

RPI is a unit within the Office of Research responsible for identifying and implementing solutions that will improve process effectiveness and prepare the Office of Research and UC research enterprise for future growth.

The RPI unit is hiring a Manager for Strategic Data Analytics. This position will oversee the insights team and processes within RPI. The manager will collaborate with leadership to facilitate effective, data‑informed decision‑making by employing diverse statistical analysis methods, including explanatory and predictive monitoring techniques.

• Create and maintain dashboards in Tableau and Power BI.
• Lead cross‑functional projects using advanced data modeling and analysis to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Communicate and present results and business impacts of insight initiatives to stakeholders within college/unit and the University.
• Develop and maintain data models, automation systems, dashboards, reports and metrics that support key business decisions.
• Design and implement technical processes to address business issues (data collection, validation, modeling, etc.).
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Anticipate future demands of initiatives related to people, technology, budget and business within the department and design/implement solutions to meet these needs.
• May provide direct and/or indirect supervision to exempt and non‑exempt staff (i.e., hiring/firing, performance evaluations, disciplinary action, approve time off, etc.).
• Perform related duties based on departmental need. This job description can be changed at any time.

• Bachelor’s Degree in Computer Science, Information Technology, Data Science, Analytics, or related field.
• Nine (9) years of relevant work experience and/or other specialized training can be used in lieu of the education requirement.

Five (5) years of experience in data analytics (can include co‑op, internship, etc.), including two (2) years of personnel management experience.

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud‑based data sources.
• Ability to perform effective querying involving multiple tables and subqueries (SQL, Python, R, etc.).
• Understanding of and experience using…