Senior OpenPages Analyst - Audit Data & AI Enablement

Mastercard; Town of Texas (WI); On-site; USD 88,000 - 141,000; Full time

Benefits offered by this job

Health insurance

401k match

Tuition reimbursement

Paid time off and parental leave

Job summary

Mastercard's Internal Audit Data Analytics and Audit Operations Team seeks a Senior Analyst to lead OpenPages enhancements, translating audit needs into actionable technical requirements and overseeing testing and deployment.

You will partner with auditors, manage UAT, develop training materials, deliver OpenPages reporting, and support AI-enabled capabilities such as WatsonX integration while maintaining data quality.

Qualifications

• Experience in Internal Audit, Risk, Compliance or SOX is required.
• Strong analytical and collaboration skills across business and technology teams.
• Experience with GRC platforms, IBM OpenPages preferred.
• Familiar with data visualization and automation tools.
• Ability to translate audit needs into technical requirements for developers.

Responsibilities

• Act as SME for OpenPages configuration, functionality and reporting.
• Translate audit needs into defined technical requirements for developers.
• Lead user acceptance testing (UAT) and validation of enhancements.
• Own training, enablement and change management activities.
• Produce and maintain OpenPages reporting and analytics.

Skills

Communication

Verbal communication

Listening

Education

Computer Engineering degree

Computer Science degree

Management Information Systems

Accounting

Finance

Tools

Tableau

DOMO

Alteryx

Excel

Access

Job description

Mastercard's Internal Audit Data Analytics and Audit Operations Team seeks a Senior Analyst to lead OpenPages enhancements, translating audit needs into actionable technical requirements and overseeing testing and deployment.

You will partner with auditors, manage UAT, develop training materials, deliver OpenPages reporting, and support AI-enabled capabilities such as WatsonX integration while maintaining data quality.