Principal Analyst, AI Transformation (Controllership)

Job Description Primary Function of the Position: The Finance Transformation team is an innovative, results-oriented team within the Corporate Accounting Department. In this role, you will partner with Accounting Functional teams , IT, Finance peers, and cross-functional stakeholders to identify high-value opportunities to simplify, standardize, and optimize end-to-end finance processes. This position is focused on applying artificial intelligence, automation, and data-driven approaches to redesign workflows, improve decision quality, strengthen controls, and reduce manual effort across accounting and reporting processes, laying the groundwork for AI transformation within Controllership, executing AI use cases and early pilots within Controllership leveraging self-service models on enterprise platforms and new opportunities or early-stage development. The ideal candidate brings a demonstrated experience implementing AI-enabled solutions, preferably in accounting, controllership, or other finance environments - and can translate business pain points into scalable, practical solutions that deliver measurable business value. Roles and Responsibilities: Evaluate end-to-end finance and accounting processes to identify opportunities for simplification, standardization, automation, and AI-enabled optimization Lead the design of future-state workflows that leverage artificial intelligence, advanced analytics, and automation to improve cycle time, accuracy, scalability, and user experience Translate business pain points into clear requirements, use cases, business process documentation, test scenarios, and implementation plans for AI and process optimization initiatives Partner with IT, data, and business subject matter experts to implement AI solutions responsibly, including solution design, data readiness, testing, controls, user acceptance, and change management Hands-on development of AI solutions for Controllership Establish success metrics and monitor solution performance to ensure AI-enabled process changes deliver measurable improvements in quality, efficiency, insight generation, and control effectiveness Present recommendations, roadmaps, and project updates to management and cross-functional teams to drive alignment, adoption, and prioritization of AI initiatives Deliver process optimization projects for the Controllership organization that reduce manual work, improve transparency, enhance compliance, and enable more intelligent decision-making through AI and automation Build AI literacy within Controllership through examples, demos, and practical education. #J-18808-Ljbffr Intuitive