Senior Director - Financial Enrollment Analytics

Northeastern University•Boston, MA

33d

About The Position

The Senior Director of Financial Enrollment Analytics is a senior leader responsible for advancing institutional financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable insights that support strategic planning and financial sustainability. This role oversees the design and implementation of analytical tools and modeling that inform key financial success indicators across all units, develops dashboards reflecting key enrollment and revenue performance metrics for the university community, and ensures the accurate reporting of these data.

Requirements

Master's degree in Analytics, Data Science, Economics, Engineering, Finance, Business Administration, Institutional Research, or related field required; Doctorate preferred
Minimum 10 years of progressive experience in higher education analytics, enrollment management, budget analytics, institutional research, financial planning, or related field
Minimum 5 years of leadership experience managing analytical teams and complex projects
Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings
Advanced proficiency in Python, SQL, Excel, and statistical analysis software such as R
Expert knowledge of data visualization and business intelligence tools (Tableau, Power BI, or similar)
Strong database management and data wrangling skills with experience in cloud data warehouse systems such as Snowflake and data preparation tools like Tableau Prep
Experience with predictive modeling, machine learning, AI applications, and advanced statistical methodologies
Demonstrated ability to integrate AI with cloud-based enterprise data platforms, e.g., Microsoft Azure
Proficiency in enterprise planning systems (e.g., Workday Adaptive Planning) for financial modeling and scenario planning
Experience developing and deploying analytics through internal applications
Commitment to leveraging analytics in service of institutional mission, student success, and financial sustainability
Deep understanding of higher education enrollment management principles, financial aid strategies, and revenue dynamics
Exceptional strategic thinking skills with demonstrated ability to identify trends, patterns, and opportunities
Effective collaborator across functional areas who builds productive partnerships with diverse stakeholders
Proven ability to translate complex analytical findings into clear, actionable recommendations through data storytelling and compelling visualizations; teaching or training experience preferred
Forward-thinking approach to leveraging emerging technologies and methodologies, including artificial intelligence
Commitment to data quality, methodological soundness, and evidence-based decision-making

Responsibilities

Lead the development of financial dashboards to support strategic planning, goal setting, and key investment opportunities that support the academic plan.
Translate complex analytical findings into clear, compelling visual and narrative presentations for executive audiences and key stakeholders.
Maintain dashboards and reporting systems (e.g., in Tableau) that provide real-time visibility into enrollment and revenue metrics across colleges, programs/divisions, and the global network.
Collaborate with cross-functional teams (Admissions, Financial Aid, Institutional Research, IT) to align enrollment and financial data from Workday and other enterprise systems, establishing consistent definitions and a single source of truth.
Support the university business model by providing enrollment and revenue data anchors plus predictive models for scenario planning (e.g., in Workday Adaptive Planning) that inform university strategy and key investment decisions.
Serve on data governance and reporting system integration teams related to admissions, financial aid, student, revenue, and expense information.
Ensure standardized definitions and trustworthy data that support both routine reporting and ad hoc analytical inquiries, with AI-ready infrastructure for advanced machine learning and predictive modeling capabilities.
Identify patterns and opportunities within large datasets from enterprise data warehouses, including Snowflake, using innovative AI and analytical techniques to inform strategic decision-making and resource allocation.
Oversee the design and execution of sophisticated analytical tools including trend analysis, performance benchmarking, and predictive modeling using machine learning and classical statistical techniques.
Conduct comprehensive analyses of enrollment patterns, student cohort progression, net tuition revenue performance, and key financial indicators leveraging programming languages including Python and SQL.