Internal Audit - Data Analytics Senior Manager

About this Position

Are you a visionary in data analytics and audit? T. Rowe Price is seeking an Internal Audit Data Analytics Senior Manager to enhance our internal audit function with state-of-the-art data analytics and generative AI. This role offers the opportunity to lead the innovation of audit practices, shaping the future of internal audit while promoting a data-driven culture within our organization.

Join T. Rowe Price and be a crucial part of revolutionizing our internal audit function. If you are a forward-thinking data analytics enthusiast with a knack for audit innovation, coming here will let you drive change, make a difference by telling compelling data stories, and foster unparalleled data-driven culture. Be the change agent within our internal audit team!

Apply now to lead the way in data analytics!

Role Summary

As the Internal Audit Data Analytics Senior Manager, you will be at the forefront of implementing and executing our internal audit's analytics strategy. You will harness the power of data to help internal audit provide actionable insights, establish audit data feeds from core platforms and lead the way in Generative AI and advanced analytics.

Responsibilities

• Implement and Execute Strategy: Lead the implementation and execution of the internal audit's analytics strategy, driving innovation and efficiency.
• Promote Data-Driven Culture: Foster a culture of data-driven decision-making across internal audit including training and upskilling.
• Establish Data Feeds: Develop and manage our internal audit data repository.
• Facilitate Analytics in Audits: Identify use cases across our audit plan and review analytics prepared by internal audit associates.
• Innovate with AI: Spearhead the use of Generative AI and other advanced analytics technologies.
• Stay Current: Keep abreast of emerging trends in AI, data analytics, and automation.

Qualifications

Required:

• Bachelor's degree or the equivalent combination of education and relevant experience AND
• 8+ years of total relevant work experience

Preferred:

• Proven Success: Demonstrated experience in building and executing an advanced data analytics program.
• Technical Proficiency: Proficiency in PowerBI, Alteryx, and other analytics and visualization tools.
• AI Expertise: Knowledge in prompt engineering and practical applications of AI.
• Modern Audit Techniques: Experience with contemporary audit methodologies and techniques.
• Critical Thinker: Strong critical thinking and problem-solving capabilities.
• Financial Services Expertise: Understanding of front, middle and back office operations, and products.

FINRA Requirements:

FINRA licenses are not required and will not be supported for this role.

Work Flexibility:

This role is eligible for hybrid work, with up to two days per week from home.