The Whiting School of Engineering (WSE) is seeking an Associate Director of Institutional and Business Analytics to lead the WSE's institutional and business analytics function, providing strategic decision support to school leadership while advancing the school’s data strategy, stewardship, governance, institutional research, and advanced analytical capabilities. The role partners across academic and administrative units and with University data owners to ensure that WSE’s data assets are well-governed, consistently defined, and effectively used to inform institutional reporting, planning, resource allocation, and strategic and operational decisions.

The position will partner with senior leadership to develop and implement a focused business intelligence strategy. The position will oversee business intelligence functions to ensure the effective utilization of data assets.

The position will play a critical role in developing and managing analytics strategies to support clinical, operational, or financial initiatives as appropriate to the position. The position will collaborate with executive leadership, departments, and IT teams to design data-driven solutions that enhance outcomes, reduce costs, and improve efficiency.

Specific Duties & Responsibilities

• Contribute to the development and implementation of a comprehensive data strategy aligned with organizational goals.
• Oversee the implementation and management of data warehouses analytics platforms, and AI-driven predictive models.
• Manage cross-functional teams and vendor relationships to ensure optimal BI solutions and best practices.
• Foster a culture of data-driven decision-making and analytics innovation.
• Collaborate on the creation of data governance policies. Oversee enforcement of polices to ensure data quality, security, and regulatory compliance.
• Develop strategies and methods to translate complex business requirements into reporting solutions that fulfill business objectives.
• Oversee custom application development and create delivery model strategies, as well as provide scalable services related to high performance visualization tools and infrastructure design. Establish metrics to track the success of project initiatives. Analyze metrics to identify trends and make recommendations.
• Contribute to long and short-term University data strategies.
• Lead meetings to suggest improvements for business processes.
• Build, develop and manage a high-performing business intelligence team.
• Recruit, develop, retain, organize and manage performance of staff.
• Assign tasks, monitor progress and provide guidance.
• Other duties as assigned

In addition to the duties described above

• Serve as the school-level steward for designated institutional and business data domains, establishing common definitions, documentation, data-quality standards, and appropriate governance standards in coordination with University data owners and central offices.
• Lead the development and application of advanced analytical approaches, including statistical modeling, forecasting, predictive analytics, and scenario analysis, using tools such as SQL, Python, and R to address complex academic, financial, workforce, research, and operational questions.
• Develop analyses, decision-support models, and performance measures that inform resource allocation, organizational planning, staffing, service delivery, operational capacity, and other school-level strategic priorities.
• Provide leadership for the school’s institutional analytics portfolio, including academic and institutional reporting, trend analysis, benchmarking, and other recurring analytical needs, while modernizing processes and expanding the use of reusable data products and self-service analytics.

• Master’s Degree in 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 required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

• Demonstrated proficiency using SQL and an analytical programming or statistical language such as Python or R to conduct complex analysis, modeling, and data manipulation.
• Experience developing and delivering business intelligence and data visualization/modeling solutions using tools such as Power BI or Tableau, with the ability to translate complex analytical findings into clear recommendations for senior leaders.

Classified Title: Assistant Director Business Intelligence
Job Posting Title (Working Title): Associate Director of Institutional and Business Analytics (Engineering Business Office)
Role/Level/Range: L/04/LF
Starting Salary Range: $100,655 - $176,195 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F, 37.5 hrs wkly
FLSA Status: Exempt
Location: Hybrid/Mount Washington Campus
Department name: Engineering Business Office
Personnel area: Whiting School of Engineering