Data Analytics and Audit Technology Manager (Office of Hopkins Internal Audit)
Core
Lead a data analytics team to build quantitative strategies, develop novel data solutions, and integrate AI/automation into the internal audit process.
Role type
Senior IC data analytics manager (audit technology)
Builds
Data analytics strategies, audit automation workflows, and AI-enabled audit techniques
Domain
Higher education internal audit + quantitative data science
Required skills
quantitative data analysis, data strategy, data visualization, project management, statistics, database querying, stakeholder engagement, data architecture, program evaluation
Preferred skills
Power BI, SQL, Generative AI (Copilot, ChatGPT)
Technologies
Tableau, Microsoft Power BI, SAP, Workday, Epic, Generative AI
Responsibilities
Lead the development of strategies for using quantitative data to understand complex business issues; Shape approaches for collecting, organizing, and analyzing data including creating new data sources; Employ diverse quantitative methodologies and software packages for data validation, joining datasets, trend analysis, and regression; Invent and iterate novel solutions to challenging data-related problems; Create and manage project plans for quantitative data components; Develop metrics and measurement systems to measure project impact; Produce compelling data visualizations and dashboards for non-technical stakeholders; Support the adoption of artificial intelligence by evaluating use cases and promoting responsible use; Serve as a lead for the data analytics team and provide a quantitative perspective to all projects.