Director, Development AI Workflow Transformation Lead

Position Summary:

ultrainnovative – Tackle rare and dynamic challenges

The Director, AI Workflow Transformation Lead is Development’s subject-matter expert on our drug-development lifecycle workflows, responsible for identifying where AI and automation can create the greatest value and redesigning processes to embed those solutions effectively. Reporting to the Senior Director, Development AI Program Management, this role translates deep operational and workflow knowledge into clear opportunities and requirements, partnering with IT to ensure solutions are scalable, compliant, and aligned to business needs. They lead process redesign end-to-end—mapping current-state workflows, defining future-state, and re-engineering how work gets done so AI is adopted, not just deployed. This is a hands-on transformation leadership role at the intersection of Development expertise, process excellence, and enterprise AI.  

Work Model: 

Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed.

Responsibilities:

• Workflow expertise. Serve as the Development authority on end-to-end Development lifecycle workflows including mapping our current-state processes, pain points, hand-offs, and value drivers across functions.  
• AI opportunity identification. Systematically evaluate workflows to identify and qualify high-value opportunities for AI and automation, building the case for where and how solutions should be applied.  
• Process redesign. Re-engineer and redesign workflows to embed AI effectively, optimizing, standardizing, and simplifying processes so solutions deliver real efficiency and quality gains.  
• Business-to-technology translation. Translate business needs and redesigned workflows into clear, accurate requirements and user stories that IT can build against, ensuring requirements accuracy throughout.  
• Solution design partnership. Partner with IT to shape solution design, confirm solutions fit the intended workflow, and ensure they are scalable, sustainable, and built on enterprise platforms and standards.  
• Quality & value of output. Define what "good" looks like for each redesigned workflow and validate that deployed solutions produce accurate, high-quality outputs that realize the intended value.  
• Compliance by design. Ensure redesigned workflows and embedded AI solutions meet GxP, 21 CFR Part 11, and data-integrity requirements, with human accountability and controls built in from the start.  
• Testing & validation support. Support solution testing, user acceptance, and validat