Manager, AI Audit Innovation

Responsibilities

• Partner with audit teams to define and build high impact AI use cases, translating audit objectives into scalable technical solutions.

• Lead the end-to-end design and deployment of AI-powered applications and automation frameworks across audit workflows, partnering with cross functional teams to ensure solutions comply with enterprise AI governance standards and regulatory requirements

• Establish performance metrics and continuously optimize solutions to drive measurable improvements in audit efficiency and effectiveness.

• Produce and maintain comprehensive technical documentation, including model artifacts, system architecture diagrams, validation protocols, and data lineage documentation to ensure transparency and auditability.

• Drive adoption of AI solutions within Internal Audit by designing user‑centric implementations, communicating technical concepts in accessible terms, and providing training and hands‑on support to ensure audit teams successfully integrate AI into their daily workflows.

• Continuously evaluate emerging AI, machine learning, and LLM technologies to determine their applicability and scalability within Internal Audit environments.

• Evaluate and leverage enterprise AI platforms and LLM tools to build fit‑for‑purpose audit solutions, optimizing for security, scalability, governance alignment, and workflow integration.

• Serve as the technical lead for audit management system, ensuring scalable integration of AI tools, workflow automation, and enterprise platform connectivity.

• 6 years of experience in data science, AI/ML, analytics, or advanced engineering roles

• Bachelor’s degree in Computer Science, Engineering, Statistics, or related field

• Hands‑on experience designing and deploying AI/ML solutions in production

• Experience with enterprise LLM tools (e.g., Claude, ChatGPT, Perplexity)

• Experience building or managing AI agents and automation frameworks

• Advanced proficiency in Python and SQL

• Experience implementing CI/CD, containerization, or MLOps practices.

• Experience with Jupyter Notebooks and large‑scale data platforms (e.g., Big Query)

• Experience with cloud platforms (AWS, Azure, GCP) and related AI services

• Understanding of model governance, validation, and responsible AI practices

• Experience in Internal Audit, Risk, Compliance, or Financial Services

• Experience integrating AI tools with enterprise systems

• Familiarity with audit management systems or GRC platforms

• Advanced degree (MS or PhD) in Machine Learning, Statistics, or Computer Science

Primary Location | Pay Range:
Chicago, Illinois | ($ - $ Annually)

Additional Location(s) | Pay Range:

San Jose, California | ($ - $ Annually)

Austin, Texas | ($ - $ Annually)

Scottsdale, Arizona | ($ - $ Annually)

Omaha, Nebraska | ($ - $ Annually)

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

At Pay Pal, we’re committed to building an equitable and inclusive global economy. We offer comprehensive, choice‑based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Pay Pal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Pay Pal will provide reasonable accommodations for qualified individuals with disabilities.

If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .