Integrated Data Analytics Lead, Vice President

Role Overview

• Help lead and execute the advanced analytics & AI strategy for Corporate Audit, aligned to audit methodology, technology risk priorities, and enterprise data initiatives
• Provide leadership, direction, and oversight to analytics professionals supporting audit and technology risk activities
• Establish standards, governance, and best practices for the use of analytics, AI, and automation within audit
• Oversee the design and execution of analytics-driven audit approaches, including: Technology and application controls, Data integrity and system-enabled processes, Continuous auditing and monitoring use cases, AI & data science testing approaches.
• Ensure analytics solutions are scalable, repeatable, and integrated into audit planning and execution
• Review and challenge analytics outputs to ensure quality, relevance, and appropriate risk coverage
• Serve as a senior partner to Technology and Business teams to align on systems, data availability, and tooling
• Guide the effective use of analytics platforms and tools (e.g., SQL, Python, visualization tools, automation platforms, AI/ML solutions)
• Support major technology and transformation initiatives by embedding analytics and insight into audit coverage and assurance activities
• Translate complex technical and analytics findings into clear, executive-level insights for senior management and governance forums
• Advise audit leadership on emerging technology risks, data trends, and opportunities for enhanced assurance
• Influence stakeholders through fact-based insights, professional judgment, and strategic perspective

Requirements

• 10+ years of total experience in the financial services or technology, including 6+ years of experience in Internal Audit.
• Professional experience and/or a degree related to the use of data science and analytics
• Technical data analytics skills, including the use of SQL, Python, R, Tableau, PowerBI, Alteryx, and other analytics and automation tools.
• Experience in applying AI, data science and machine learning models in audit.
• Technical expertise with big data is a plus.
• Bachelor’s degree required, preferably in finance, accounting, computer science or related fields.
• Advanced degree or certification (CFA, FRM, CPA, CIA) preferable.
• Technical expertise with Databricks is preferable.
• Experience in auditing information technology general controls.

Tech Stack

• Python
• SQL
• Tableau

Benefits

• Permanent contract from day one
• Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
• Gold Medical Package for employees and their families (partner and children)
• Premium life insurance package and private pension plan
• Wide range of soft skills training, technical workshops, language classes and development programs
• Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
• Variety of well-being programs
• Additional benefits available depending on the seniority of the role