Northeastern University
Senior Director - Financial Enrollment Analytics
Northeastern University, Boston, Massachusetts, us, 02298
Senior Director - Financial Enrollment Analytics
Job Summary:
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. The director 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 dat.
Minimum Qualifications
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.
Technical Competencies
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 methodology.
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.
Professional Competencies
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.
Key Responsibilities & Accountability
Lead the development of financial dashboards to support strategic planning, goal setting, and key investment opportunities that align with 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., 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 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.
Hiring Range:
$154,810 – $224,473.75. Salary will depend on factors such as education, experience, and location.
Northeastern University considers factors such as candidate work experience, education, and skills when extending an offer. The university has a comprehensive benefits package for benefit‑eligible employees, including medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, and commuting & transportation benefits. Visit
Benefits Information
for more details.
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.
Seniority Level
Executive
Employment Type
Full‑time
Job Function
Education, Strategy/Planning, and Project Management
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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. The director 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 dat.
Minimum Qualifications
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.
Technical Competencies
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 methodology.
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.
Professional Competencies
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.
Key Responsibilities & Accountability
Lead the development of financial dashboards to support strategic planning, goal setting, and key investment opportunities that align with 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., 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 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.
Hiring Range:
$154,810 – $224,473.75. Salary will depend on factors such as education, experience, and location.
Northeastern University considers factors such as candidate work experience, education, and skills when extending an offer. The university has a comprehensive benefits package for benefit‑eligible employees, including medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, and commuting & transportation benefits. Visit
Benefits Information
for more details.
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.
Seniority Level
Executive
Employment Type
Full‑time
Job Function
Education, Strategy/Planning, and Project Management
#J-18808-Ljbffr