IT Audit Manager

Cyperus Group LLC; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Cyperus Group LLC, a leading global financial services firm, is seeking an IT Audit Manager to join its Internal Audit team with a focus on Data Governance and Data Risk Management.

The role offers an opportunity to lead risk-based audit engagements across complex technology and business environments, evaluating the effectiveness of data governance frameworks, data quality controls, data architecture, metadata management and enterprise data management practices.

Qualifications

• Minimum of 5 years of IT audit experience, preferably in Big 4 or G-SIB.
• Proficient in IT risk, internal controls, and data governance.
• Knowledge of data management frameworks: quality, architecture, metadata, lifecycle.
• Experience evaluating technology controls related to data integrity and regulatory reporting.
• Ability to lead multiple engagements, mentor teams and communicate with senior stakeholders.
• Excellent analytical, problem-solving, project management and communication skills.
• Demonstrated ability to identify risks and provide actionable remediation recommendations.

Responsibilities

• Lead end-to-end IT audit engagements, including planning, risk assessments, scope, testing, reporting and remediation monitoring.
• Evaluate controls related to data governance, data quality, architecture, metadata management, lifecycle and data risk.
• Assess data-related risks involving movement, retention, reporting and regulatory compliance.
• Conduct walkthroughs, review documentation and develop testing procedures to identify deficiencies.
• Prepare audit findings, communicate results to senior stakeholders and provide recommendations.
• Oversee validation of management action plans and remediation.
• Monitor emerging tech risks, regulatory developments and industry trends in data management.
• Collaborate with tech, risk, compliance and business teams to improve governance practices.
• Supervise and mentor audit team members on methodology, testing and documentation.
• Leverage data analytics, KRIs, KPIs and reporting tools to identify risks and trends.

Skills

IT audit

Data governance

Data risk mgmt

Team leadership

Stakeholder comms

Job description

Our client, a leading global financial services firm, is seeking an IT Audit Manager to join its Internal Audit team, with a focus on Data Governance and Data Risk Management.

This position offers an opportunity to lead risk-based audit engagements across complex technology and business environments, evaluating the effectiveness of data governance frameworks, data quality controls, data architecture, metadata management and enterprise data management practices.

The successful candidate will work closely with senior management, technology teams and key stakeholders to identify risks, strengthen internal controls and enhance the organization's overall data governance and risk management framework.

Key Responsibilities

• Lead end-to-end IT audit engagements, including audit planning, risk assessments, scope development, testing, reporting and remediation monitoring.
• Evaluate the design and operating effectiveness of controls related to data governance, data quality, data architecture, metadata management, data lifecycle management and data risk.
• Assess data-related risks involving data movement, retention, reporting, regulatory compliance and critical business information.
• Conduct audit walkthroughs, review supporting documentation and develop testing procedures to identify control deficiencies and opportunities for improvement.
• Prepare audit findings, communicate results to senior stakeholders and provide actionable recommendations to strengthen the control environment.
• Oversee the validation of management action plans and corrective measures to ensure sustainable remediation of identified issues.
• Monitor emerging technology risks, regulatory developments and industry trends impacting enterprise data management.
• Collaborate with technology, risk management, compliance and business teams to evaluate governance practices and improve risk management processes.
• Supervise, mentor and develop audit team members, providing guidance on audit methodology, risk assessments, testing procedures and documentation.
• Leverage data analytics, key risk indicators (KRIs), key performance indicators (KPIs) and reporting tools to identify emerging risks and control trends.

Required Qualifications

• Minimum of 5 years of relevant professional experience, preferably within a Big 4 accounting firm or global systemically important bank (G-SIB).
• Strong understanding of IT audit, technology risk, internal controls and data governance principles.
• Knowledge of enterprise data management frameworks, including data quality, data architecture, metadata management, data lifecycle management and data risk management.
• Experience evaluating technology controls and identifying risks associated with data integrity, regulatory reporting, data movement and information management.
• Strong understanding of risk-based auditing methodologies, control testing and audit documentation.
• Demonstrated ability to manage multiple audit engagements, lead teams and communicate effectively with senior stakeholders.
• Excellent analytical, problem-solving, project management and written and verbal communication skills.

Preferred Qualifications

• Experience in IT Audit, Internal Audit, Data Governance, Data Risk Management, Technology Risk, Enterprise Data Management or a related control function within financial services.
• Familiarity with regulatory expectations and industry guidance related to data governance, data quality and risk data aggregation.
• Experience assessing enterprise data management platforms, governance processes, issue management frameworks and technology controls.
• Knowledge of data analytics, data visualization, dashboards, scorecards and risk reporting tools.Experience evaluating data quality management, regulatory reporting, data sharing and enterprise digital capabilities.
• Ability to interpret complex data, identify control weaknesses and recommend practical improvements.