Manager, Internal Audit Data Analytics

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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI Data CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

The Internal Audit Organization is an independent and objective function that evaluates and provides recommendations to enhance the effectiveness, efficiency, and scalability of Salesforce processes, information systems, and the underlying governance, risk management and internal control environment. This function reports administratively to the President and Chief Operating and Financial Officer and directly to the Audit and Finance Committee of the Company's Board of Directors.

We are seeking a highly skilled and self-motivated Internal Audit Data Analytics (IADA) Technical Manager to drive digital innovation and audit analytics capabilities within our internal audit function. This role will lead the technical execution of audit analytics, using AI/ML, predictive modeling, and sophisticated data technologies to further advance our capability. The IADA Technical Manager will be responsible for hands-on AI/ML development, automation of audit processes, and data-driven risk insights, while collaborating with multi-functional teams to advance audit analytics program. This role is hybrid and works in the Indy, Atlanta or Dallas office 3 days a week.

• Lead hands-on development and deployment of AI/ML-driven audit analytics solutions, including predictive and generative AI models for risk detection and anomaly identification.

• Manage the technical lifecycle of audit analytics solutions-from data acquisition, preparation, modeling, validation, and productization to continuous monitoring and optimization.

• Build and automate audit analytics solutions using technologies such as Salesforce Data Cloud, Agentforce, Tableau, Snowflake, AWS SageMaker, Python, and Apache Airflow.

• Develop AI-powered risk models that enhance fraud detection, control testing, and anomaly detection in audit processes.

• Create interactive and real-time dashboards in Tableau to visualize AI/ML model outputs and key audit insights.

• Manage the audit tenancy in the ML platform, ensuring secure and compliant use of AI/ML tools while providing internal support and training on data analytics capabilities.

• Partner with other teams to translate business risks into data-driven audit analytics solutions.

• Conduct thorough model validation, testing, and explain-ability assessments to ensure AI/ML models meet ethical and regulatory standards.

• Provide technical leadership, mentorship, and advisory support to internal teams on using data analytics and AI/ML methodologies.

• Complete projects in a fast-paced, time-sensitive environment, effectively managing multi-functional workstreams.

• Proven hands-on experience in AI/ML development (e.g., model building, training, deployment, and monitoring) within audit, risk, compliance, or related fields.

• Strong understanding of risk, controls, and business process concepts, with the ability to integrate AI-driven insights into audit methodologies.

• Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, or Operations Research) or equivalent experience. A master's degree or relevant certifications are a plus.

• 7 years of experience in audit data analytics, risk analytics, or a related field, including 2 years in a managerial role and experience in a technology or fast-paced industry.

• Hands-on expertise in AI/ML tools and cloud-based platforms, including AWS SageMaker, Python, SQL-based ETL tools, and REST APIs.

• Experience with Salesforce ecosystem technologies (e.g., Salesforce CRM, Data Cloud, Agentforce, Mulesoft) and data visualization tools such as Tableau.

• Experience with programming skills, including SQL, Python, Jupyter Notebooks, and workflow automation tools like Apache Airflow.

• Excellent communication skills with the ability to communicate technical concepts to non-technical partners and drive business impact.

• Demonstrated ability to lead and mentor teams, fostering a data-driven audit culture.

This role offers a unique opportunity to shape the future of audit analytics by integrating innovative AI/ML technologies into risk assessment and audit methodologies. You will work on high-impact projects, collaborate with talented professionals, and drive innovation in audit analytics. If you're passionate about data, AI, and risk-based auditing, we invite you to join us and make a difference.

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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.