Audit Product Owner - Principal

The Audit Product Owner - Principal based in Washington, DC with a hybrid work arrangement leads the definition, delivery, and governance of Audit AI, analytics, and data products. This role guides discovery with stakeholders to align with business strategy and drives adoption and continuous improvement.

Responsibilities

• Act as the Product Owner for Audit AI, analytics, and data offerings, accountable for defining the product, gathering requirements, guiding delivery, governance, and user adoption.
• Facilitate discovery sessions with stakeholders across Audit, risk, compliance, modeling, data, technology, and business units to uncover user needs, analytics and automation objectives, data requirements, system impacts, and product opportunities.
• Define and continually refine the product vision, roadmap, PI plan, and a prioritized backlog aligned with Audit strategy, AI governance standards, data and tool norms, customer outcomes, and technology strategy.
• Prepare comprehensive features, user stories, acceptance criteria, development specifications, data requirements, process requirements, control requirements, and implementation notes for engineering and testing teams.
• Lead and document Lean Business Cases and value realization for Audit AI and analytics initiatives, detailing benefits, costs, data needs, dependencies, assumptions, risks, controls, and traceability.
• Create and document current-state and future-state process flows, decision flows, system interaction flows, data movement flows, governance routines, and system state transition diagrams.
• Monitor product performance, strategic objectives and key results, stakeholder feedback, release readiness, training needs, and adoption outcomes to drive continuous product enhancement and controlled innovation.

Requirements

• Eight years of experience in product ownership or product management leading audit transformation, strategy, and governance.
• Six years of audit experience within a Big 4 firm or internal audit functions.
• Excellent written and verbal communication skills, capable of clearly explaining complex audit, risk, data, AI governance, systems, and operational concepts to business, technology, regulatory, and leadership stakeholders.
• Advanced business analysis skills, including elicitation, requirements decomposition, stakeholder interviews, workshop facilitation, traceability, gap analysis, and impact assessment.
• Proven ability to translate strategic objectives and governance requirements into clear functional and non-functional requirements, user stories, acceptance criteria, features, epics, controls, and development specifications.
• Experience establishing or managing governance routines, controls, OKRs, operational metrics, executive reporting, stakeholder forums, and escalation paths to drive well-managed product outcomes.
• Experience collaborating with cross-functional teams, including Audit SMEs, data and analytics teams, technology leads, model owners and users, operations, risk, compliance, and Audit practice partners.
• Demonstrates curiosity and adaptability in learning and applying new technologies, including artificial intelligence, to responsibly transform how work is performed.
• A Bachelor's degree is required.

Technologies

• Generative AI
• AI platforms