Senior Data Audit Manager

DP World; Dubai; On-site; AED 367,242 - 477,414; Full time

Job summary

DP World in Dubai offers an opportunity for a Senior Data Audit Manager to lead data audit efforts ensuring data quality and integrity. The role requires extensive experience in IT audit and data governance, with a strong focus on building reusable audit analytics and continuous improvement.

Candidates should possess a master's degree in Computer Science or a related discipline, along with 8-10 years in relevant fields. This full-time position emphasizes collaboration with IT and business stakeholders.

Qualifications

• 8-10 years of experience focused on IT audit, data audit, or data governance.
• Proven experience managing teams and delivering complex audit projects.
• Hands-on experience auditing modern data architectures.

Responsibilities

• Define and maintain data audit standards and methodologies.
• Lead data quality audits covering the full data lifecycle.
• Collaborate with IT and business stakeholders for secure data management.

Skills

Data audit methodology

IT audit and data governance

Continuous Controls Assurance

Data quality and lifecycle audits

SQL

Python

Power BI visualization

Education

University degree or master’s degree in Computer Science or related discipline

Tools

Databricks Lakehouse

Snowflake

Azure Synapse

Job description

Senior Data Audit Manager – Dubai, United Arab Emirates – Industry: Maritime – Job Type: Full-time

Overview

Senior Data Audit Manager in Dubai, United Arab Emirates is a high-value maritime opportunity for experienced audit, data governance, analytics, and AI assurance professionals who can strengthen data integrity, continuous controls assurance, and digital audit transformation across a global trade and logistics business. This role leads the design of data audit standards, executes risk‑based data audit plans, builds reusable audit analytics, and provides independent assurance over the accuracy, completeness, consistency, and reliability of critical data within enterprise systems.

Responsibilities

• Define and maintain data audit standards, methodologies, testing procedures, and continuous assurance approaches for Group Internal Audit.
• Lead standalone data quality audits and integrated reviews covering the full data lifecycle.
• Assess controls around Critical Data Elements used in business processes, operational dashboards, reporting platforms, and AI or machine learning models.
• Maintain the GIA Data Audit Methodology with clear procedures for data lineage, metadata management, accuracy, completeness, consistency, timeliness, and validity testing.
• Build and update a dynamic Data Audit Universe that maps critical data assets to business risks, high‑risk data silos, and shadow IT environments.
• Deliver advanced audit analytics that provide predictive risk insights, governance gap identification, control effectiveness testing, and fact‑based assurance.
• Collaborate with Group IT, data owners, audit teams, and business stakeholders to establish secure data pipelines and improve data reliability for audit use.
• Maintain strong controls over data handling, information security, privacy, audit workpapers, coding standards, peer reviews, and documentation quality.
• Develop reusable scripts, audit tests, dashboards, and visualizations that improve audit coverage and support repeatable assurance activities.
• Build and operationalise the Continuous Controls Assurance framework for high‑risk areas, including testing programs, exception workflows, and escalation protocols.
• Integrate continuous assurance outputs into dynamic risk assessments so audit planning can respond to live risk triggers and business changes.
• Identify safe opportunities to use automation, GenAI, machine learning, and statistical modelling to improve audit delivery while protecting confidentiality and independence.
• Partner with Business Audit, Technology Audit, and Fraud Risk teams to co‑create digital audit solutions that improve assurance depth and efficiency.
• Serve as the subject‑matter expert for data governance, analytics assurance, AI risk, and audit innovation in line with IIA, DAMA, and leading governance frameworks.
• Present complex audit findings through clear business narratives, advanced visualization, and actionable recommendations for senior leadership.
• Maintain professional audit standards, follow safety and compliance policies, and support a culture of discipline, accountability, and continuous improvement.

Qualifications

• University degree or master’s degree in Computer Science, Data Science, Information Management, Data Analytics, Information Systems, or a related discipline.
• 8‑10 years of professional experience focused on IT audit, data audit, data governance, advanced analytics, or assurance transformation.
• Proven experience managing teams and delivering complex data, audit, analytics, or governance projects in a large organization.
• Hands‑on experience auditing modern data architectures such as Databricks Lakehouse, Snowflake, Azure Synapse, or similar platforms.
• Strong understanding of data lineage, access controls, Unity Catalog, ETL and ELT pipeline integrity, data migration controls, reconciliation, and cloud data governance.
• Proven ability to design and implement Continuous Controls Assurance or continuous auditing frameworks.
• Strong knowledge of data governance frameworks such as DAMA‑DMBOK, NIST, ISO, or similar standards.
• Experience using advanced analytics, AI, or machine learning models to identify anomalies, control gaps, fraud indicators, and business risks in large datasets.
• Strong technical literacy in data engineering fundamentals, source‑to‑ingestion controls, transformation logic, documentation, and controls compliance.
• Advanced SQL and Python or R knowledge sufficient to design, review, and challenge analytics solutions developed by technical teams.
• Strong Power BI or advanced visualization experience with the ability to convert complex information into executive‑level insights.
• Certifications such as CISA, CIA, CDMP, CGEIT, or Databricks Certified Data Engineer or Analyst are desirable.
• Ability to translate complex business needs into technical data specifications and communicate effectively with non‑technical stakeholders.
• Professional, proactive, and improvement‑focused, with strong commitment to IIA standards, data protection, security, health and safety, and ethical conduct.

Core Skills

• Data audit methodology
• IT audit and data governance
• Continuous Controls Assurance
• Critical Data Elements testing
• Data quality and lifecycle audits
• Data lineage and metadata management
• Databricks Lakehouse, Snowflake, Azure Synapse
• Unity Catalog access controls
• ETL and ELT pipeline audit
• Data migration assurance
• SQL, Python, or R
• Power BI visualization
• AI and machine learning risk analytics
• DAMA‑DMBOK, NIST, and ISO frameworks
• Audit analytics automation
• Risk‑based audit planning
• Executive reporting and stakeholder communication