Data Analytics and Audit Technology Manager (Office of Hopkins Internal Audit)

Specific Duties & Responsibilities

• Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.
• Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data.
• Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc.
• Invent and quickly iterate novel solutions to challenging data-related problems.
• Create and manage project plans for the quantitative data components of all team work.
• Develop and manage partnerships and collaborations with data providers and stakeholders.
• Champion the use of quantitative data to drive decisions.
• Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders;
• Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.
• Develop metrics and measurement systems to measure the impact of the team's projects and initiatives.
• Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing.
• Support analogous research and literature reviews.
• Serve as a key participant in each step of the area's data methodology, providing a quantitative perspective to all projects.
• Serve as a lead for the data analytics team.
• May have several Data Analysts as direct reports.
• Demonstrates in-depth knowledge of core IT systems (such as SAP, Workday and Epic), and ability to analyze and extract data from these systems.
• Works with audit project teams to incorporate analytics, visualization, automation, and practical AI-enabled techniques into audit planning, fieldwork, and reporting when appropriate.
• Supports OHIA's adoption of approved artificial intelligence capabilities by helping evaluate use cases, participate in pilots, document practical guidance, and promote responsible use by audit staff.
• Serves as a departmental resource for internal audit technology, including data analytics, dashboarding, audit management/workpaper tools, workflow automation, reporting tools, artificial intelligence and other applications used by the office.
• Other duties as assigned.

Minimum Qualifications

• Bachelor's Degree.
• Seven years of related experience.
• 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.

Preferred Qualifications

• Proficiency with Power BI, SQL, and Generative AI (Copilot, ChatGPT, etc.)

Technical Skills & Expected Level of Proficiency

• Data Architecture - Advanced
• Database Querying - Advanced
• Data Strategy and Innovation - Advanced
• Data Visualization - Advanced
• Project Management - Advanced
• Program Evaluation - Advanced
• Stakeholder Engagement - Advanced
• Statistics - Advanced

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Data Analytics Manager
Job Posting Title (Working Title): Data Analytics and Audit Technology Manager (Office of Hopkins Internal Audit)
Role/Level/Range: ATP/04/PE
Starting Salary Range: $75,135 - $131,510 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F 9-5
FLSA Status: Exempt
Location: Hybrid/Eastern High Campus
Department name: Information Systems Auditing
Personnel area: University Administration