Internal Audit, Head of Innovation, NY

Goldman Sachs & Company • New York, NY • 1h ago

Internal AuditIn Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes.Position OverviewThe Head of Internal Audit Innovation Strategy will lead the design, delivery, and institutionalization of cutting-edge technology, artificial intelligence (AI), advanced analytics, and automated testing across the global Internal Audit department.Reporting to senior audit executive leadership, this individual will sit at the intersection of internal audit, data science, engineering, and digital transformation. The VP will lead a team of analytics and innovation specialists to re-imagine traditional audit approaches, drive continuous risk assessment, scale automated assurance solutions, and prepare the department for AI-enabled operational models.Key Responsibilities1. Innovation Strategy & AI Roadmap Execution AI & Automation Vision: Define and execute a multi-year digital strategy for Internal Audit, focusing on Generative AI, Agentic AI, Large Language Models (LLMs), machine learning, and Process Automation (RPA) to automate repetitive audit tasks and scale risk detection. Use-Case Pipeline Management: Identify, prioritize, and manage high-ROI audit innovation use cases across the full audit lifecycle (planning, risk assessment, field testing, continuous monitoring, and reporting). Auditing Emerging Tech & AI Governance: Establish robust methodologies and control frameworks to audit organizational AI systems, algorithms, and data governance frameworks for bias, drift, and regulatory compliance.2. Analytics Platform & Continuous Monitoring Delivery Scalable Data Solutions: Oversee the development and maintenance of scalable data analytics products, interactive dashboards, and automated continuous risk monitoring tools (leveraging SQL, Python, Alteryx, Tableau/PowerBI, and enterprise data platforms). Audit Integration: Partner directly with business, technology, and capital markets audit execution teams to embed risk analytics and continuous auditing techniques into standard audit plans. Data Engineering & Infrastructure: Direct delivery teams (data scientists, data engineers, automation architects, and business analysts) in maintaining data pipelines, integrating disparate legacy architectures, and ensuring data quality across audit tools.3. Capability Building, Upskilling & Change Management Digital Literacy & Adoption: Design and deploy comprehensive enablement programs (e.g., custom AI assistant adoption, Copilot training, low-code/no-code analytics workshops) to upskill non-technical auditors and achieve high adoption rates across the department. Culture of Innovation: Champion a forward-thinking audit culture that embraces curiosity, automation, and agile delivery principles.4. Leadership, Stakeholder & Regulatory Governance Senior Stakeholder Management: Communicate technical concepts, innovation roadmaps, and business impact clearly to the Audit Committee, Executive Management, business line leaders, and external regulators. Team Leadership & Development: Recruit, mentor, and manage a high-performing team of data analytics and technology innovation specialists across global hubs. Qualifications Experience: 8-12+ years of progressive leadership experience in Internal Audit, Technology Audit, Risk Analytics, or Technology Consulting, ideally within Financial Services or Investment Banking. Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, or a

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