Associate Director of Institutional and Business Analytics (Engineering Business Office)
About The Position
The Whiting School of Engineering seeks an Associate Director of Institutional and Business Analytics to lead its institutional and business analytics function. The role provides strategic decision support to school leadership and advances the school’s data strategy, stewardship, governance, institutional research, and analytical capabilities. It partners with academic and administrative units and University data owners to ensure that data assets are well-governed, consistently defined, and effectively used for reporting, planning, resource allocation, and strategic and operational decisions. The position partners with senior leadership to develop and implement a business intelligence strategy and oversees business intelligence functions to support effective use of data assets. It develops and manages analytics strategies for relevant initiatives, collaborating with executive leadership, departments, and IT teams on data-driven solutions intended to enhance outcomes, reduce costs, and improve efficiency. The role serves as school-level steward for designated institutional and business data domains, establishing common definitions, documentation, data-quality standards, and governance standards in coordination with University data owners and central offices. It leads advanced analytical work, including statistical modeling, forecasting, predictive analytics, and scenario analysis, and provides analyses, decision-support models, and performance measures for school priorities such as resource allocation, organizational planning, staffing, service delivery, and operational capacity. The Associate Director leads the school’s institutional analytics portfolio, including academic and institutional reporting, trend analysis, benchmarking, and recurring analytical needs. The role also builds and manages a high-performing business intelligence team, develops staff, and modernizes processes through reusable data products and self-service analytics. The position is full-time, scheduled Monday through Friday for 37.5 hours per week, and is hybrid at the Mount Washington Campus.
Requirements
- Master’s degree in a related field.
- Ten years of related and progressive experience in IT, analytics, software development, or data management.
- Additional education may substitute for required experience, and additional related experience may substitute for education beyond a high school diploma or equivalent, as permitted by the JHU equivalency formula.
Nice To Haves
- Proficiency with SQL and an analytical programming or statistical language such as Python or R for complex analysis, modeling, and data manipulation.
- Experience developing and delivering business intelligence and data visualization or modeling solutions using tools such as Power BI or Tableau.
- Ability to translate complex analytical findings into clear recommendations for senior leaders.
Responsibilities
- Contribute to the development and implementation of a comprehensive data strategy aligned with organizational goals.
- Oversee implementation and management of data warehouses, analytics platforms, and AI-driven predictive models.
- Manage cross-functional teams and vendor relationships to ensure effective business intelligence solutions and best practices.
- Foster a culture of data-driven decision-making and analytics innovation.
- Collaborate on data governance policies and oversee enforcement to support data quality, security, and regulatory compliance.
- Translate complex business requirements into reporting solutions that fulfill business objectives.
- Oversee custom application development and create delivery model strategies; provide scalable services for high-performance visualization tools and infrastructure design.
- Establish metrics to track project initiative success, analyze trends, and make recommendations.
- Contribute to long- and short-term University data strategies.
- Lead meetings to suggest business process improvements.
- Build, develop, and manage a high-performing business intelligence team.
- Recruit, develop, retain, organize, and manage staff performance; assign tasks, monitor progress, and provide guidance.
- Serve as school-level steward for designated institutional and business data domains, establishing definitions, documentation, data-quality standards, and governance standards with University data owners and central offices.
- Lead advanced analysis, including statistical modeling, forecasting, predictive analytics, and scenario analysis, using tools such as SQL, Python, and R.
- Develop analyses, decision-support models, and performance measures for resource allocation, organizational planning, staffing, service delivery, operational capacity, and other school-level strategic priorities.
- Lead institutional analytics, including academic and institutional reporting, trend analysis, benchmarking, and recurring analytical needs; modernize processes and expand reusable data products and self-service analytics.
- Perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
