Program Manager

Skills/Attributes: Medical device, Process Improvement, Six Sigma Required Education Bachelor's degree in engineering, science, quality, operations, business, or a related field — required Preferred Education Advanced degree Required Experience Typically, 15 or more years of experience in product development, quality systems, operational excellence, process engineering, program management, or a related discipline Significant experience in the medical products industry Experience with validated systems, regulated digital tools, data governance, or AI governance Preferred Certification Lean Six Sigma certification or equivalent demonstrated mastery Required Skills Regulatory & Quality Knowledge Deep knowledge of medical device or other regulated product development Design controls Change control Design history documentation Quality system requirements Working knowledge of FDA Quality System requirements and ISO 13485 Process Improvement Demonstrated success leading end-to-end process improvement across multiple functions, sites, or business units Expertise in Lean, Six Sigma, value-stream mapping, or equivalent process optimization methods Record of delivering measurable results Experience leading complex, cross-functional transformation or continuous-improvement initiatives in a matrixed organization Practical experience applying automation and AI to business or technical workflows Preferably in a regulated environment Ability to translate complex regulatory and process requirements into clear, efficient, and usable ways of working Strong facilitation, change leadership, and stakeholder-management skills Ability to influence senior leaders and subject-matter experts Demonstrated ability to establish metrics, analyze process performance, prioritize opportunities, and communicate recommendations to leadership Excellent written and verbal communication skills Credible with engineers, quality professionals, regulatory partners, and auditors High degree of independence Accountability for results in an ambiguous, cross-functional environment Commitment to Baxter's mission, patient safety, quality, and leadership expectations Assess and map end-to-end PDE, QMS, and related business processes that affect R&D Work with executing teams to establish current-state cycle time, effort, handoffs, rework, and pain points Develop and maintain a prioritized process simplification roadmap based on business value, compliance risk, effort removed, cycle-time reduction, and stakeholder readiness Redesign high-priority processes to eliminate unnecessary steps, redundant activities, duplicate documentation, and unclear handoffs Preserve patient safety, product quality, and regulatory compliance Partner with Quality and Regulatory leaders to align PDE practices, quality system requirements, local procedures, and working-level execution before piloting or deploying changes Clarify functional ownership, decision rights, phase criteria, roles, and interfaces across shared product development processes Identify, prioritize, and implement practical AI and automation use cases for document drafting, review, search, data preparation, traceability, and knowledge retrieval Establish appropriate governance, human review, documentation, and controls for AI-enabled processes in regulated environments Lead pilots, measure before-and-after performance, capture lessons learned, and refine solutions prior to broader deployment Develop updated procedures, job aids, reusable patterns, and training materials Enable process owners and teams to sustain improvements after the engagement Provide clear recommendations, progress updates, risks, and decisions to R&D PMO leadership and cross-functional stakeholders Lead change through influence, facilitate alignment across functions, and resolve competing priorities without direct authority First 90 days: Complete a current-state map of priority PDE and QMS flows First 90 days: Quantify the most significant friction points First 90 days: Align stakeholders on a prioritized simplification and AI opportunity roadmap Months 4–9: Redesign and pilot two to three processes end to end Months 4–9: Deploy selected AI use cases with governance in place Months 4–9: Release updated procedures, tools, and training Months 10–12: Demonstrate measurable reductions in development cycle time, process effort, or rework Months 10–12: Document adoption and control effectiveness Months 10–12: Transition ownership with a sustaining plan Core measures: Cycle time, effort removed, rework reduction, adoption, process compliance, user feedback, and sustainability of results Reports to CCS R&D PMO leadership Works directly with R&D, PDE, Quality, and Regulatory process owners Engages cross-functional partners in Operations, Manufacturing, Supply Chain, Marketing, Medical, Service, Information Technology, Data Privacy, and other functions whose processes affect product development #J-18808-Ljbffr MethodHub