Business Process Lead FP&A Transformation

Primary Function of Position:

The Business Process Lead, FP&A Transformation is the enterprise process owner for how forecasting is designed, executed, and continuously improved at Intuitive. This high-impact individual contributor will lead the transformation of legacy, manual, and fragmented workflows into a simpler, faster, and more accurate forecasting operating model. Working with FP&A leadership across the organization, this role translates business needs into scalable processes, aligns stakeholders, pilots improvements, and drives sustained adoption.

The successful candidate is a systems thinker, process architect, and change leader who creates clarity in ambiguity, challenges unnecessary complexity, and connects process design to measurable outcomes. Success will be reflected in a forecasting model that is faster, simpler, more accurate, well governed, and consistently adopted across FP&A. Innovative thinking to challenge the current state to fully transform the forecast process.

Role and Responsibilities:

• Diagnose and Design: Map end-to-end forecasting workflows, handoffs, decision points, rework loops, and elapsed-time gaps.
• Identify root causes related to ownership, decision rights, data readiness, calendar design, and manual workarounds.
• Design the future-state operating model, including workflow sequencing, inputs and outputs, decision gates, escalation paths, and integration points.
• Prioritize, Pilot, and Scale: Build a transformation roadmap that sequences process, data, and automation opportunities by value, feasibility, risk, readiness, and dependencies.
• Facilitate prioritization decisions with Finance leadership and clearly communicate trade-offs.
• Design and lead pilots with defined scope, success measures, timelines, and learning objectives.
• Measure outcomes, refine the approach, and scale proven changes while maintaining process integrity.
• Track adoption and outcomes using measures such as cycle time, rework, compliance, engagement, and forecast accuracy trends.
• Establish feedback loops and governance to sustain improvements.