Internal Audit, Analytics Solutions Director - Commercial Investment Banking

Join Internal Audit's analytics leadership team to deliver data science and analytics solutions that strengthen audit assurance and insights, and improve effectiveness and efficiency across the Corporate & Investment Bank (CIB) audit plan. In this role, you will set the analytics vision and execution roadmap, lead a global team of analytics professionals, and deliver a prioritized portfolio of scalable solutions that embed data-driven testing into audit activities. You will partner closely with senior stakeholders across Internal Audit, Technology, Data, and the CIB to produce timely, well-supported insights that enhance audit coverage, strengthen risk and control assessments, and support audit decision-making. Job responsibilities

• Define and deliver the analytics strategy aligned to audit plan priorities; influence risk and control coverage through data science and analytics enabled solutions and insights.
• Lead and develop a global analytics team; drive talent recruiting and retention, coaching, succession planning, and foster a culture of critical thinking, innovation and inclusion.
• Design and govern sustainable data science and analytics solutions for automated, full-population testing to increase audit coverage and efficiency.
• Oversee data acquisition and analysis of complex disparate datasets from multiple systems; ensure sound methodology, documentation, and quality review.
• Prioritize and manage capacity, budgets, and timelines to ensure timely execution of high-value data science and analytics solutions across the audit plan.
• Communicate insights, findings through clear stories and visualization; serve as the senior analytics point of contact to leadership and key stakeholders.
• Ensure development practices align with audit methodology and firm technology/data governance standards
• Drive data literacy adoption and self-service capabilities through targeted global training
• Stay current with industry developments (in data science, automation, generative artificial intelligence) and drive relevant innovation back into the Audit department. Required qualifications, capabilities, and skills
• Bachelor's degree in one of the following; Data Science, Computer Science, Data Analytics, Statistics or a related field.
• 10-15+ years of relevant experience in Internal Audit, data science, data analytics, technology, or risk/control functions.
• Experience applying machine learning and artificial intelligence in risk/control testing contexts in a highly regulated environment.
• Working knowledge of machine learning algorithms, deep learning frameworks, and natural language processing techniques
• Strong executive presence, excellent communication and interpersonal skills; able to present complex concepts to senior management and diverse stakeholders.
• Proven track record developing and delivering scalable data science and analytical tools, automations, and.

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