Data Governance Auditor (AVP) – Hybrid NYC

Deutsche Bank AG; New York (NY); Hybrid; USD 100,000 - 153,000; Full time

Benefits offered by this job

Hybrid work model

Generous vacation

Personal and volunteer days

Health and wellbeing benefits

Retirement savings plans

Job summary

Deutsche Bank AG in New York is seeking a Principal Auditor - Data to join the global Group Audit Data team. You will evaluate data governance, data quality, and records management controls and lead audits across data capabilities in a complex, regulated environment.

Expect collaboration with cross-functional stakeholders and opportunities to leverage AI tools for optimized workflows. The role requires delivering insight into data risks, driving continuous improvement, and presenting findings

Qualifications

• Strong understanding of data management frameworks including governance, quality, metadata, lineage and records management.
• Experience assessing control design and evaluating control effectiveness in data processes and flows.
• Ability to analyze data lineage and transformations and identify data risks.

Responsibilities

• Evaluate the effectiveness of controls across data management and records management.
• Complete data capability assessments, continuous monitoring and planned audits.
• Prepare and coordinate audit assignments and stakeholder engagements.
• Draft and track audit findings through to closure validation.
• Collaborate with governance, data quality and data lifecycle processes.
• Support reporting and tracking of data and records risks.

Skills

Data governance

Data quality

Controls assessment

Cross-functional collaboration

AI tools usage

Job description

Deutsche Bank AG in New York is seeking a Principal Auditor - Data to join the global Group Audit Data team. You will evaluate data governance, data quality, and records management controls and lead audits across data capabilities in a complex, regulated environment.

Expect collaboration with cross-functional stakeholders and opportunities to leverage AI tools for optimized workflows. The role requires delivering insight into data risks, driving continuous improvement, and presenting findings