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

Johns Hopkins University; Baltimore (MD); Ibrido; USD 75.000 - 132.000; Tempo pieno

Descrizione del lavoro

Johns Hopkins University seeks a Data Analytics and Audit Technology Manager, Hybrid/Eastern High Campus. This role leads data analytics for audit, builds dashboards, and champions data-driven decisions across diverse stakeholders.

The position emphasizes providing quantitative insights, employing AI-enabled techniques, and guiding staff in using approved tools effectively. Strong collaboration with IT and audit teams is essential.

Competenze

• Bachelor's degree required.
• Seven years of related experience required.
• Additional education may substitute for required experience per policy.
• Equivalency may apply to education/experience per JHU rules.

Mansioni

• Lead development and implementation of quantitative data strategies for audit.
• Shape data collection, organization, and analysis, including new data creation where needed.
• Apply diverse quantitative methods and software to validate data and analyze trends.
• Invent and iterate novel data solutions for challenging problems.
• Create and manage project plans for quantitative data components across team efforts.
• Develop partnerships with data providers and stakeholders.

Conoscenze

Data analytics

SQL

Generative AI

Data Visualization

Data Architecture

Data Strategy

Statistics

Stakeholder Engagement

Project Management

Program Evaluation

Formazione

Bachelor's Degree

7+ years experience

Strumenti

Power BI

Tableau

SQL

Descrizione del lavoro

We are seeking a Data Analytics and Audit Technology Manager who is an independent contributor with highly specialized skills in building data analytics to support the audit process. The role also supports OHIA in adopting new technology including artificial intelligence and other audit technologies by identifying practical use cases, assisting with pilots and implementation, and helping staff use approved tools effectively and responsibly.

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

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.