Internal Audit Data Analytics Manager

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Internal Audit Data Analytics & Innovation Manager

As an Internal Audit Data Analytics & Innovation Manager, you will play a key role in driving the adoption of data analytics, automation, and AI across Internal Audit. Working at the intersection of technology, audit, and business, you will transform complex audit and risk challenges into scalable, data-driven solutions that enhance audit coverage, improve risk insights, and increase efficiency. You will collaborate closely with audit teams, business stakeholders, D&IT experts, and external partners to deliver innovative solutions and embed on advanced analytics throughout the audit lifecycle.

Position In this role you will:

Drive Audit Innovation & AI Adoption

• Drive the adoption of Data Analytics, AI, automation, and emerging technologies across Internal Audit.

• Identify and prioritize opportunities to enhance audit coverage, risk insights, quality, and efficiency through technology.

• Develop and scale practical solutions, including AI-enabled audit assistants, intelligent analytics, automated testing, and workflow automation.

• Challenge traditional audit approaches by introducing innovative technologies, including agentic AI, and implementing high-value solutions with appropriate governance and oversight.

Expand the Audit Analytics Portfolio

• Partner with audit teams to translate business risks, controls, and audit objectives into effective data, analytics, and technology solutions.

• Collaborate with business, D&IT, and delivery partners to ensure reliable data access, govern solution quality, and maintain the Internal Audit Analytics Catalog.

• Develop reusable analytics and conduct enterprise-wide analyses to identify emerging risks, control gaps, anomalies, and process improvement opportunities.

• Design and deliver end-to-end analytics capabilities, including data pipelines, dashboards, automated testing, and AI-enabled tools.

Enable Data-Drive Audit Delivery

• Deliver advanced audit analytics, including population testing, anomaly detection, trend analysis, and other data-driven assurance procedures.

• Act as a trusted subject-matter expert and coach auditors in the effective use of analytics, automation, and AI solutions

• Help auditors interpret analytics results and translate them into actionable audit insights and recommendations

• Develop dashboards, risk indicators, and continuous auditing solutions that enhance audit insights and decision-making.

Strengthen Foundations & Continuous Improvement

• Apply engineering best practices and continuously enhance solutions based on user feedback, performance, and evolving business needs.

• Maintain and govern analytics assets and documentation to ensure long-term sustainability and supportability.

• Document data sources, transformation logic, assumptions, validation procedures, and known limitations.

Why This Role Matters Internal Audit’s value increasingly depends on its ability to connect risk signals across markets, analyze full populations, and respond at the pace of the business. This role helps make that capability repeatable and trusted — reducing avoidable manual effort while preserving the quality, security, and professional judgment on which effective assurance depends.

Requirements

Background & Experience

• University degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Finance, Accounting, or a related field

• 7-10 years of experience in Data Analytics, Data Engineering, Technology Consulting, Risk Management, Audit, or technology-enabled assurance

• Proven experience delivering end-to-end analytics solutions in a business environment

• Strong hands-on expertise in Python, PySpark, SQL, and modern data platforms such as Azure Databricks, Delta Lake, or Microsoft Fabric

• Experience building data pipelines, analytical models, dashboards, automation solutions, and business-facing reporting in Power BI

• Knowledge of Apache Spark, enterprise integrations, REST APIs, SDKs, and software delivery practices including testing, version control, and CI/CD

• Experience working with SAP data structures, particularly SAP S/4HANA; exposure to Microsoft Purview or other data governance tools is an advantage

• Familiarity with agentic AI, AI orchestration, copilots, or intelligent workflow automation is highly desirable

• Ability to translate audit, risk, and business requirements into practical technical solutions and lead delivery across stakeholders

Your Skills & Mindset

• Strong analytical and critical-thinking skills with the ability to connect data, technology, business risks, and controls

• Hands-on, pragmatic, and solution-oriented approach

• Curiosity, innovation mindset, and confidence to challenge established approaches constructively

• Strong communication, stakeholder management, and collaboration skills across cultures and functions

• High level of ownership, commitment to quality, and passion for continuous learning and improvement

What to expect Expect well-being initiatives, flexible work arrangements, growth opportunities, and excellent benefits, including a unique family leave policy. For more details on local policies, speak with the Talent Advisor.

Are you ready to join us? Build your success story at JTI. Apply now! Next Steps:

After applying, if selected, please anticipate the following within 1-3 weeks of the job posting closure: Phone screening with Talent Advisor > Assessment tests > Interviews > Offer. Each step is eliminatory and may vary by role type.

At JTI, we strive to create a diverse and inclusive work environment. As an equal-opportunity employer, we welcome applicants from all backgrounds. If you need any specific support, alternative formats, or have other access requirements, please let us know.