About The Position

The Office of Admissions and Financial Aid in University Student Services is responsible for the enrollment management function that underpins the University’s ability to attract, recruit, admit, and matriculate Arts and Sciences and Engineering undergraduate students. The office also serves as a key advisor to the university’s graduate and professional programs (with the exception of PhD programs). This strategic planning, integration, and coordination of overall university enrollment management relies heavily on the use of data analytics to inform marketing, messaging, recruitment, and financial aid, and to manage the size, composition, selectivity, and other characteristics of admitted students across all academic programs. The Director, Enrollment Analytics, Planning and AI will support the university’s enrollment management strategy, providing high-level data analysis to inform strategic planning, analyze the effectiveness of initiatives through data-driven research, and ensure staff access to relevant data. Reporting to the Vice Provost for Admissions and Financial Aid and serving as a member of the Vice Provost’s leadership team, this Director will formulate, develop, and communicate insightful and actionable intelligence to aid strategic decision-making in both admissions and financial aid, and evolve the data infrastructure. The role also involves the strategic design, implementation, integration, and accessibility of resources for effective and reliable data collection, analytics, and business intelligence to inform strategy and drive recruitment and marketing efforts. The Director will have primary responsibility for undergraduate enrollment management and a critical advisory and coordination role for select graduate programs, and is expected to stay abreast of industry trends and tools, monitor data trends, and articulate opportunities for enrollment management. This position supervises one Data Analyst.

Requirements

  • Bachelor’s Degree in related field.
  • Five years of related and progressive experience in healthcare IT, analytics, software development or data management.
  • Advanced proficiency in data analysis tools and programming languages such as SQL, Python, and R.
  • Strong understanding of statistical methods and data modeling techniques.
  • Experience with data visualization tools like Tableau or Power BI.
  • Excellent communication and presentation skills to convey complex data insights to diverse audiences.
  • Knowledge of SQL, HTML, JavaScript, PHP, VB, Flash, and ASP.
  • Advanced knowledge and demonstrated understanding of developing and tuning complex queries, stored procedures, and user-defined functions using T-SQL.
  • Knowledge of database structures and their capabilities and limitations.
  • Ability to manage and prioritize multiple short, medium, and long-term projects.
  • Strong analytical and data reporting skills, including quantitative, logical, content, and other analytical frameworks.
  • Ability to rapidly understand data schemas and layouts.
  • Ability to perform advanced data extraction and leverage data analytics expertise to identify/understand organizational needs and contribute to the formation and execution of strategy.
  • Excellent interpersonal and communication skills to convey complex information in a clear and digestible fashion to faculty, staff, University officials, and other non-technical audiences.
  • Ability to distill complex information into key concepts and actionable intelligence.
  • Advanced knowledge of techniques to automate report generation and delivery.
  • Deep knowledge and high curiosity about higher education, enrollment management, and emerging trends and challenges in higher education enrollment management.
  • Ability to research and organize data in a concise manner and keep abreast of higher education, enrollment management, data analytics practices, and artificial intelligence trends.
  • Commitment to providing high-quality intelligence and research services to a diverse group of users and stakeholders in a fast-paced environment.
  • Self-motivated, able to work effectively both independently and cooperatively, and has had proven success working as a member of a team.
  • Excellent problem-solving and project management skills with the ability to manage multiple short, medium, and long-term deadlines.
  • Proficiency in BI tools such as Tableau, Power BI or Epic Cogito.

Nice To Haves

  • Masters’ Degree is highly preferred.
  • Experience within an undergraduate higher education environment is desirable.
  • Formal knowledge of statistics is desirable.
  • Experience automating report generation.
  • Experience presenting key findings in a non-technical manner to clients and senior leadership.
  • High degree of familiarity with higher education admissions and financial aid processes and related data issues and opportunities is preferred.

Responsibilities

  • Support the university’s enrollment management strategy.
  • Provide high level data analysis to inform strategic planning.
  • Analyze the effectiveness of initiatives through data-driven research.
  • Ensure that staff have access to relevant data to inform their work.
  • Formulate, develop and communicate insightful and actionable intelligence to aid strategic decision-making in both admissions and financial aid.
  • Evolve the data infrastructure of the offices to facilitate the use of data by staff.
  • Responsible for the strategic design, implementation, integration, and accessibility of resources which enable effective and reliable data collection, data analytics, and business intelligence across the university.
  • Inform admissions and financial aid strategy and to drive recruitment and marketing efforts that align with institutional priorities.
  • Have primary responsibility for undergraduate enrollment management (admissions and financial aid) and a critical advisory and coordination role in relation to select graduate programs across the university.
  • Have in-depth knowledge and the ability to stay abreast of industry trends and tools, monitor admissions and financial data trends, and articulate opportunities for enrollment management across the university.
  • Conduct in-depth analysis using statistical techniques to identify trends, patterns, and correlations within admissions and financial aid data.
  • Develop predictive models to forecast application volume, acceptance rates, and enrollment yield for different applicant segments.
  • Analyze trends in financial aid to provide a greater understanding of family income and asset trends to ensure that the financial aid program effectively supports students and families.
  • Utilize data visualization and other tools to present complex findings in clear and actionable reports for stakeholders.
  • Provide a deep level of analysis of research findings and synthesize key points in concise and compelling competitive intelligence reports and other deliverables.
  • Provide data-driven insights to inform admissions strategies, including understanding applicant trends, optimizing application review processes, and assessing the effectiveness of recruitment and marketing efforts.
  • Develops reports for senior staff and leadership across the university that can be shared with other stakeholders, such as faculty, students, trustees, donors, and membership organizations, to communicate messages and information and/or analysis related to the deployment of enrollment management resources and/or financial aid funding in a way that aligns with institutional goals.
  • Create data analysis tools to be used by Deans and managers in admissions and financial aid, as well as automated data delivery tools for the office and other university constituents, such as the Provost, President, and Deans.
  • Continues to develop, integrate, and execute strategies to provide timely data and analyses to advance strategic initiatives in the admissions and financial aid reporting environments and to ensure alignment with University goals.
  • Provides regular status reports and analysis to management.
  • Review and understand large sets of historical data while being able to highlight relevant trends and patterns.
  • Develop and execute a strategy for ingesting data from a variety of third-party sources, then transforming and leveraging it for analytical use.
  • Clean, transform, and validate data to ensure accuracy and consistency for analysis.
  • Develop and maintain data pipelines to automate data ingestion and processing.
  • Manage Admissions and Financial Aid reporting efforts to internal and external entities to assure data quality and integrity.
  • Working with the University IT department, drive database infrastructure building to understand and support the effective integration and collaboration of existing databases across the university, including the data warehouse.
  • Optimize the data warehouse design, ensuring data integrity, archiving data, and incorporating new data elements.
  • Pitch, design, and build data architecture, pipelines, and products that integrate systems across the decentralized university environment.
  • Working with the enrollment management leadership team, explore emerging needs and uses for A.I. tools in admissions and financial aid.
  • Lead collaborative projects related to integrating data and advanced data tools into policymaking; suggest ways to deploy tools and advanced data science capabilities in team projects.
  • Oversee the proper use of data and technology and create data-driven, analytical business processes and procedures.
  • Foster collaboration across departments/organizations to ensure the flow of data required for analysis and to identify new opportunities.
  • Develop data ownership policies, procedures, and best practices.
  • Lead/mentor junior data analysts on data analysis projects, ensuring quality and adherence to best practices.
  • Stay updated on emerging data analytics techniques and technologies to continuously improve data analysis capabilities and serve as a university-wide resource for school-based admissions, financial aid, and/or enrollment management offices.

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What This Job Offers

Job Type

Full-time

Career Level

Director

Number of Employees

5,001-10,000 employees

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