Group Manager - Data Audit, AI & Digital Assurance Solutions

Job Purpose:

• The role holds accountability for defining data audit standards, methodologies, and continuous assurance approaches adopted by Group Internal Audit.
• Executes the risk-based Data Audit plan to provide independent assurance over the integrity, completeness, accuracy and consistency of critical data elements within DPWorld systems.
• Delivers Continuous Controls Assurance to provide timely assurance and actionable exception insights
• Builds and manage a portfolio of reusable audit analytics and audit accelerators that strengthen assurance, improve coverage and provide timely predictive risk intelligence to DP World leadership.
• Advances the digital transformation of Group Internal Audit (GIA) by embedding AI, automation, and data-driven methods across the entire audit lifecycle, maintaining effective processes for product innovation.
• Partners with Business Audit, Technology Audit, and Fraud Risk teams to co-create advanced digital solutions that enhance audit coverage and depth.
Serves as the data governance and analytics assurance/AI subject matter expert, ensuring all solutions meet robust standards for quality, privacy, security aligned with IIA and leading data governance frameworks (i.e. DAMA).

Key accountabilities:

• Lead the design and execution of standalone Data Quality Audits and integrated reviews. Evaluate the entire data lifecycle—from creation/ingestion to storage, usage, and reporting in a structured, end-to-end way ensuring alignment with industry standards and global policies.
• Assess the controls surrounding Critical Data Elements within key business processes. providing assurance on the integrity of data processed and feeding into operational dashboards, and AI/ML models.
• Maintain and continuously update the GIA Data Audit Methodology, defining specific testing procedures for data lineage, metadata management, and data quality dimensions (Accuracy, Completeness, Consistency, Timeliness, Validity).
Maintain a dynamic Data Audit Universe that maps data assets to business risks, proactively identifying high-risk data silos or shadow IT that require assurance.

• Deliver advanced analytics services that provide the GIA team with predictive insights into risks, governance gaps, and control effectiveness, enabling fact-based decision-making.
• Collaborate with Group IT and data owners to establish secure data pipelines and improve data lineage, ensuring data is reliable and accessible for audit consumption.
• Maintain strong controls over data handling and comply with information security and data protection requirements.
• Enforce rigorous standards for analytic workpapers, coding, and documentation. Oversee peer reviews to ensure all analytic solutions are auditable, repeatable, and fit for purpose.
Develop and maintain a library of reusable scripts, tests, and visualizations aligned to common audit processes and risk objectives.

• Build and operationalise the Continuous Controls Assurance (CCA) framework for high-risk areas, establishing clear testing programs, exception management workflows, and escalation protocols.
Integrate CCA outputs into dynamic risk assessments, providing real-time "always-on" assurance that allows GIA to pivot audit planning based on live risk triggers.

• Identify opportunities to safely use automation/GenAI to streamline audit delivery while protecting confidentiality, independence and quality.
• Act as the internal audit thought leader on data trends, maintaining an external network to benchmark GIA against emerging technologies and identifying use cases for adoption.
• Stay current with emerging tools in machine learning and statistical modelling, identifying opportunities to upgrade the DADS tech stack and capabilities.
• Contribute to the overall process improvements within GIA through advanced analytics, automation, and AI.
Stay current with emerging tools and techniques in machine learning, statistical modelling & analytics and identify opportunities to educate the GIA team and apply on DADAS work.

• Build trusted relationships with stakeholders, translating technical data insights into clear, actionable business recommendations.
• Champion the use of advanced data visualization techniques (e.g., PowerBI) to present complex audit findings in an intuitive, high-impact manner
• Perform all assigned audit duties in manner that reflects the highest professional standards and complies with the guidelines of the Institute of Internal Auditors.
• Complies with Fatal Risk Standards, Health & Safety Policy and safe working practices, ensure responsibility for safety and discipline in work area and report accidents and ‘near misses’ in accordance with defined safety procedures.
Able to understand business requirement and communicate effectively with business stakeholders.

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Qualifications, skills and experience:

• University degree or Masters in the field of Computer Science, Data Science, Information Management, Data Analytics or equivalent
• Minimum of 8–10 years of professional experience with a specific focus on IT audit, data audit, and data governance.
• Experience in managing teams and delivering complex data projects.
• Hands-on experience auditing modern data architectures, specifically Databricks Lakehouse, Snowflake, or Azure Synapse. Must understand how to audit Data Lineage, access controls (Unity Catalog), and ETL/ELT pipeline integrity.
• Experience auditing complex data migrations (e.g., legacy to cloud) to ensure integrity and reconciliation.
• Proven track record of designing and implementing Continuous Controls Assurance (CCA) or Continuous Auditing frameworks.
• Experience in Data Governance, specifically with frameworks like DAMA-DMBOK, NIST, or ISO, and conducting data quality/lifecycle audits.
• Demonstrated experience in Advanced Analytics, utilizing AI/ML models to identify risks and anomalies in large datasets.
• Deep understanding of Data Engineering fundamentals (ETL/ELT). Must possess the technical literacy to supervise the end-to-end data acquisition process, from source identification to ingestion, ensuring that data transformation logic is rigorous, documented, and controls-compliant.
• Advanced understanding of SQL and Python/R sufficient to design, review, and challenge analytic solutions developed by the team
Advanced ability to present large amounts of complex information using visualization techniques (e.g., PowerBI). Must be able to craft compelling narratives that drive executive action rather than just displaying data.

• Desirable Professional Certifications: CISA, CIA, CDMP, CGEIT, Databricks Certified Data Engineer/Analyst
• Proven ability to understand complex business requirements and translate them into technical data specifications. Capable of communicating effectively with non-technical stakeholders to bridge the gap between IT, Data, and Audit.
• Unwavering commitment to the highest professional standards, strictly adhering to the Institute of Internal Auditors (IIA) guidelines and internal Fatal Risk/H&S standards.
• Proactive approach to identifying avenues for improvement. A "change agent" who continuously scans the horizon for new tools (GenAI, Automation) to modernize legacy audit practices.