Join Internal Audit’s analytics leadership team to deliver data-enabled solutions that deepen assurance and impact. Partner with senior leaders to bring automation and advanced analytics into audit planning, testing, and reporting.

In this role, you will lead a high-performing global team of analytics professionals to enable risk-focused, data-driven assurance across the Corporate & Investment Bank audit plan. You’ll set strategy, prioritize a portfolio of solutions, and embed data, automation, and advanced analytics into audit lifecycle activities. You will collaborate with senior stakeholders to deliver timely, well-evidenced insights that improve coverage, efficiency, and decision-making.

Job responsibilities

• Define and deliver the analytics strategy aligned to audit priorities; partner with senior audit leaders and stakeholders to influence the risk and control agenda through evidence-based insights.
• Lead and develop a global analytics team; drive talent management, coaching, succession planning, and a culture of innovation and inclusion.
• Set portfolio priorities and manage capacity, budgets, and timelines to ensure timely execution of high-value analytics across the audit plan.
• Design and govern sustainable solutions for automated, full-population control testing to increase coverage and efficiency.
• Oversee acquisition and analysis of complex datasets from multiple systems; ensure robust methods, documentation, and quality review.
• Communicate insights through clear visualization and storytelling; serve as the senior analytics point of contact to leadership and key stakeholders.
• Align practices with audit methodology and firm technology/data standards; champion data literacy via targeted global training; stay current through industry engagement in automation, artificial intelligence, and machine learning.

Required qualifications, capabilities, and skills

• Bachelor’s degree (Data/Computer Science, Analytics, Finance, or related field).
• 10–15+ years of relevant experience in Internal Audit, data analytics, technology, or risk/control functions.
• Excellent communication and interpersonal skills; able to present complex concepts to senior management and diverse stakeholders.
• Proven track record developing and delivering scalable analytical tools, automations, and processes.
• Demonstrated experience working with large, complex datasets and drawing defensible conclusions.
• Ability to manage multiple initiatives concurrently with minimal supervision; deliver timely, high-quality outcomes in a fast-paced environment.
• Proficiency with one or more of SQL, Python, Alteryx, Databricks; experience with visualization in Qlik View and/or Tableau.

Preferred qualifications, capabilities, and skills

• Graduate degree or professional certifications (e.g., CIA, CISA, FRM, CFA).
• Experience applying machine learning and artificial intelligence concepts in risk/control testing contexts in a highly regulated environment.
• Knowledge of financial products, operations, and applicable regulations relevant to Corporate & Investment Bank businesses.