Internal Audit Digital Solutions Lead

Digital Solutions Operating Model Lead

Location: New York, NY (Hybrid, Tuesday thru Thursday in Office)

Duration: 12 months

Responsibilities:

• Design and implement the digital solutions operating model, including audit technology platforms, advanced data analytics, AI-enabled capabilities, and continuous auditing and control monitoring.
• Establish governance, intake, prioritization, and performance metrics.
• Drive integration across platforms, data sources, and workflows supporting audit execution and risk intelligence, including AuditBoard and Databricks.
• Operationalize a tiered delivery model balancing self-service and centralized expertise.
• Ensure all digital solutions align with IIA Standards and QAIP requirements.
• Identify and deploy high-value advanced analytics and AI use cases, such as anomaly detection and automated control testing.
• Build continuous auditing and control monitoring capabilities and risk sensing dashboards.
• Design reusable, governed "gold datasets" and automate data ingestion, validation, and reporting workflows.
• Implement analytics and AI-powered solutions quality controls, versioning, and documentation standards.
• Serve as a strategic thought partner to IPP and CAD leadership, translating complex technology concepts into actionable plans.
• Drive adoption of digital solutions across audit teams in partnership with the head of IPP and the PMO and Change Management Lead.

Requirements:

• 10 years of progressive experience in building or scaling an internal audit analytics and/or digital solutions function with at least 5 years in a leadership or senior advisory capacity.
• Demonstrated experience designing and implementing digitization strategies for internal audit, risk management, or compliance functions within financial services or similar industries.
• Deep familiarity with enterprise audit management platforms and modern analytics/data platforms.
• Experience managing audit technologies as an integrated product ecosystem and deploying automation or AI use cases in regulated environments.
• Proven ability to operate as a strategic thought partner to senior leaders, comfortable navigating ambiguity, influencing without authority, and driving execution in matrixed environments.

Preferred Skills:

• Strong understanding of audit methodology and IIA Standards.
• Ability to translate risk coverage requirements into technical assurance solutions.
• Data/AI governance and automation mindset.
• Executive presence and ability to influence senior stakeholders.
• Systems thinker who designs scalable, sustainable solutions.

Education & Certifications (Preferred):

• Bachelor's degree in Information Systems, Artificial Intelligence, Data Science, or related field.
• CIA, CISA, CRISC, CPA, or relevant data analytics certifications preferred.