Job Description:

Executive Director of Assessment and Data Analytics

Key Responsibilities:

• Supports divisional staff to assist in supporting departmental assessment needs in addition to serving as a point of contact for university staff to determine their information needs.

• Oversee the collection, analysis, and dissemination of data related to student learning outcomes, student engagement, retention, and success.

• Collaborate with university stakeholders to identify key performance indicators and metrics that assess the effectiveness of student services, programs, and initiatives.

• Provide expert consultation and support to departments in designing surveys, focus groups, and other assessment tools to measure student needs, satisfaction, and program effectiveness.

• Prepare and present comprehensive reports, dashboards, and presentations to senior leadership and other stakeholders to inform policy, strategic planning, and resource allocation.

• Stay current with national trends in higher education assessment and data analytics, implementing best practices and emerging technologies.

• Supervise and mentor a team of assessment and data analytics professionals, providing guidance in data analysis, report writing, and visualization.

• Collaborate with institutional research, IT, and academic affairs to ensure integration of student affairs data with broader institutional data systems.

• Lead the development and implementation of a comprehensive assessment strategy for all departments within the Division of Student Affairs, ensuring alignment with institutional priorities.

• Manages team and oversees the analytics lifecycle for Student Affairs for both division-wide and individual departmental support, including data collection, preparation, advanced analysis, and modeling.

Preferred Skills:

• Experience with predictive analytics and its application in student success and retention strategies.

Job Summary

Manages team and oversees the entire analytics lifecycle, including data collection, preparation, advanced analysis, and modeling. Leads the design, deployment, and maintenance of data models, dashboards, and visualizations. Identifies analytical strategies, cost reduction opportunities, and performance enhancements. Serves as a point of contact for customers and staff. Assists in establishing best practice standards, monitors data quality, and prepares complex reports for senior leadership.

Essential Functions

• Oversees the entire analytics lifecycle, including data collection, preparation, advanced analysis, and modeling. Collaborates with teams, senior leadership, and various stakeholders to identify, develop, and implement analytical strategies.

• Assists in establishing data collection best practice standards and reporting requirements. Ensures compliance with best practice processes and standards. Leads the design, deployment, and maintenance of data models, dashboards, and visualizations.

• Serves as a point of contact for internal customers and University staff to determine their information needs. Monitors data quality and accuracy. Resolves complex issues.

• Remains current with industry trends, emerging technologies, and best practices. Provides recommendations on the potential application of new technologies and processes within the University.

Physical Effort

The physical effort for an Executive Director of Assessment and Data Analytics is typically low to moderate. This role primarily involves:

1. Office Work: Most tasks are performed in an office setting, including meetings, data analysis, and report writing. This involves sitting for extended periods.

2. Meetings: Regular meetings with teams, stakeholders, and leadership may require moving around within the office or attending off-site meetings within the university.

3. Presentations: Preparing and delivering presentations may involve standing and speaking in front of groups, which can require some physical stamina.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Assignment Category: Full-time regular

Job Classification: Staff.Manager - Analytics

Job Family: Information Technology

Job Sub Family: Analytics

Campus: Pittsburgh

Minimum Education Level Required: Bachelor's Degree

Minimum Years of Experience Required: 1

Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.

Work Schedule: Monday to Friday, 8:30 a.m. to 5:00 p.m., Option to work from home: 2 days per week

Work Arrangement: Monday to Friday, 8:30 a.m. to 5:00 p.m., Option to work from home: 2 days per week

Hiring Range: $90,000.00 to $100,000.00

Relocation_Offered: No

Visa Sponsorship Provided: No

Background Check: For position finalists, employment with the University will require successful completion of a background check

Child Protection Clearances: The following PA Act 153 clearances and background checks are required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.

Required Documents: Resume, Cover Letter

Optional Documents: Not Applicable

PI253945413

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