AI and Data Controls Manager

Responsibilities:

• Leads control projects with broad scope and complexity within and across divisions. Leads the development and implementation of the internal control framework and leads control identification, design, implementation, and testing. Identifies and remedies complex control gaps and ensures effective design, implementation, and operation of controls. Recommends and implements actions to increase effectiveness.
• Delivers high-level consultation, facilitation and analytical support on complex control-related issues to ensure internal controls are properly aligned and implemented. Provides expert level consulting to the business on internal and external audit activities, and leads and manages risk mitigation initiatives in response to audit findings.
• Leads the development and distribution of management reporting data. Leads and maintains the documentation of findings and maintains reporting results. Serves as an escalation point for the team. Leads development, implementation, and maintenance of monthly dashboards and management reports.
• Builds strong working relationships with key internal and external stakeholders. Collaborates with the department and management sharing best practices regarding key controls to influence and effectively communicate control solutions to all appropriate parties.
• Provides education and leadership to crew around audit and control issues in order to create awareness, education, and compliance.
• Builds and maintains awareness of risk and control topics. Seeks to understand broad industry and Vanguard trends regarding risk and control and determines applicability to the operation.
• Participates in special projects and performs other duties as assigned.

• Five years of related work experience in risk management, controls, compliance, audit, or governance.
• Undergraduate degree or equivalent combination of training and experience.
• Strong understanding of enterprise control frameworks, risk assessment, and regulatory compliance.
• Familiarity with data governance, analytics environments, and technology risk concepts.
• Excellent leadership, cross-functional coordination, and analytical skills.
• Certifications such as CIA, or CRISC are advantageous.