Salesforce Internal Audit Data Analytics Manager 

United States, Indiana, Indianapolis 

199028246

Job Category

Job Details

• 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.

• Lead 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 explainability 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.

• Solid 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.

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