Institutional Research Leadership and System Effectiveness:

• Collaborates with the Associate Vice Chancellor for Decision Support and Chief Analytics Officer to foster a culture of data-informed decision-making within the System Office and across all institutions and regional centers within the University System of Maryland (USM).
• Organizes and facilitates regular meetings with Institutional Research (IR) leaders from various system institutions to collaboratively address and strategize solutions for systemwide IR challenges.
• Oversees the collection, analysis, and reporting of institutional data to support academic planning, accreditation, and institutional effectiveness.
• Provides timely and accurate data to internal and external stakeholders, including government agencies and accreditation bodies.
• Contributes to the USM’s strategic planning efforts by providing data and analysis on key performance indicators and benchmarks.
• Stays current with best practices and trends in institutional research to enhance data quality and analysis methodologies.

Data Acquisition, Governance, and Integrity:

• Establishes and enforces data governance policies and procedures to ensure data accuracy, security, and compliance with privacy regulations.
• Enhances data literacy and collaborates with stakeholders to develop new data strategies.
• Collaborates with IT and other stakeholders to maintain data infrastructure, data integrity, and data availability to ensure seamless data integration.
• Explores and leverages emerging technologies and tools to enhance data acquisition, governance, integrity, and integration.

Analytics Solution Development:

• Collaborates with academic and administrative units to identify data-informed opportunities and prioritize data analytics needs.
• Designs and implements data analytics projects to extract insights and actionable recommendations from complex datasets.
• Explores and leverages emerging technologies, methods, and tools to advance the institution’s analytics capabilities.

Project Management:

• Efficiently manages departmental projects, allocates resources, and sets realistic timelines to ensure timely completion and high-quality work products.
• Monitors and assesses work products generated by the team, maintaining rigorous quality standards, and addressing challenges to foster a culture of continuous improvement.

Minimum Qualifications

Required Education Level/Certifications:

Bachelor's degree in a relevant field such as statistics, data science, data analytics or other disciplines with research and quantitative analysis.

Required Experience:

1 year of experience in a leadership role managing teams and projects.

Required Knowledge/Skills/Abilities:

• Strong leadership skills to guide a team of research analysts and foster a collaborative work environment.
• Ability to collaborate with cross-functional teams and build strong relationships with stakeholders.
• Strong analytical and problem-solving skills, with a commitment to data-driven decision-making.
• Excellent communication skills, including the ability to effectively communicate complex data needs to a variety of stakeholders.
• Knowledge of relevant statistical analyses, predictive modeling, and data visualizations techniques used in data analytics.
• Demonstrated expertise in statistical analysis, predictive modeling, and data visualization.
• Experience with data warehousing and reporting tools, such as R, SQL, Tableau, and PowerBI.
• Experience with Microsoft Office products.

Preferred Qualifications

Preferred Education Level/Certifications:

Master’s degree in a relevant field such as statistics, data science, data analytics or other disciplines with research and quantitative analysis. 

Preferred Experience:

Leadership experience in a higher education setting.

Preferred Knowledge/Skills/Abilities:

• Knowledge of relevant regulations and guidelines related to data collection, analysis, and reporting in higher education.
• Demonstrated expertise in statistical analysis, predictive modeling, and data visualization for data analytics.