About the Opportunity Job Summary Under the supervision of the Northeastern University Research Enterprise Services (NU-RES) Director of Research Operations and Systems and with support of senior level NU-RES team members, the Data Quality and Research Administration Analytics Manager (“Data Manager”) is responsible for developing and executing local data governance strategies, managing data quality, building and driving digital initiatives that support the research enterprise, and improving the analytical value of data related to the university’s research enterprise. They will focus on client engagement and internal operational efficiencies to implement data governance policies, procedures, processes, and standards and work with a variety of university partners to identify opportunities to improve data quality across the university’s global research network. The Data Manager is responsible for information system management and best practice standards to improve data quality across NU-RES applications (e.g., eCD eCLAWs ePAWs), which includes analyzing data collection workstreams, creating processes and procedures, recommending new policies, and monitoring the collection and storage of NU-RES data; they will work closely with the NU-RES Director of Research Operations and Systems and eRA Systems Manager on implementing NU-RES’s digital strategy through evaluation of enterprise data standards, technology, and processes. The Data Manager is responsible for educating and training end-users on sound data quality standards and internal control practices, fostering a culture of quality client service; assessing and interpreting data in support of operational excellence and data-driven decision making by senior leadership. The Data Manager will evaluate how digital governance of research data impacts data quality and will work to maximize the value of analytics and innovation to transform the university’s data reporting capabilities, while encouraging the adoption of contemporary methods, practices, and measurement outcomes, producing consistent and accurate information. This position requires a high level of competence with research administration (including regulatory requirements related to research and sponsored programs) and information technology; excellent analytical skills with ability to work with large and complex data sets; strong leadership and project management skills; experience in creating and executing local data governance policies, procedures, processes, and standards; an ability to facilitate communication between and among groups that may have different needs and priorities. The Data Manager must have a strong commitment to creating positive client experiences and supporting individuals who work in a fast-paced, team-oriented environment. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems or related field. A minimum of (5) years of experience with data quality, data analysis and information system management. Experience and understanding of research administration and regulations related to research and sponsored programs. Demonstrated ability to implement continuous improvement and innovation tools and techniques. Excellent analytical, curiosity, problem-solving, and effective written and verbal communication skills. Proficient IT skills with Microsoft Suite, Tableau, SQL, and Cognos Key Responsibilities & Accountabilities 40% - Data Quality Analysis: Use data analysis to identify data quality issues and determine how to solve them. Analyze data utilized by cross-functional teams to ensure data integrity, recognize, analyze trends and/or anomalies; maximize the value of accurate analytics to transform the university’s research reporting capabilities; design data quality standards for research data and develop a best practice to align best the most accurate and consistent outcome of information. 30% - Reporting Analytics: Collaborate with Senior Data Analyst to identify appropriate categories of data, summarize and analyze in custom ad hoc reports. Through Critical Thinking, analyze the data usage by performing assessments on data end-to-end. Define and design the data quality rules by understanding the needs and demands from user community. 15% - Digital Governance, Improvement and Training: Troubleshoot discrepancies and delegate to the appropriate personnel for correction. Consult with functional and technical staff and data stewards about meaning, use, reliability, and maintenance of data elements. Contribute to continuous process improvement in report analysis and trending methods. Manage and maintains all data governance and data quality related documentation. Establish the effective data quality rules by ensuring data validity, conformity, completeness, and timeliness. 15% - Project Management: Oversee the completion of tasks or projects. Define business rules for measuring data quality and profiling new data sources. Work with data engineers to enhance and refine data quality metrics. Use effective communication to convey messages, explain processes, and answer questions. Position Type Data Planning and Analysis Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.