Nina Stewart is a seasoned Lean Customer Value Consultant at American Family Insurance, bringing over 20 years of extensive experience in leadership and continuous improvement methodologies, including Lean, Six Sigma, and Agile coaching. In her current role, Nina leverages her deep expertise to drive transformative...
Nina Stewart is a seasoned Lean Customer Value Consultant at American Family Insurance, bringing over 20 years of extensive experience in leadership and continuous improvement methodologies, including Lean, Six Sigma, and Agile coaching. In her current role, Nina leverages her deep expertise to drive transformative initiatives that enhance operational efficiency and customer satisfaction across the organization. Her proficiency in deploying Lean/Six Sigma tools, such as Value Stream Mapping and Gemba Walks, enables her to identify process inefficiencies and implement sustainable solutions that empower teams and foster a culture of continuous improvement.
Nina is instrumental in leading key projects that align with American Family's commitment to Lean principles, focusing on empowering employees to take ownership of their work processes. She excels in facilitating Lean Kaizen Events, where cross-functional teams collaborate to streamline workflows and eliminate waste. Her strategic approach includes utilizing frameworks like Hoshin Planning and Objectives & Key Results (OKRs) to ensure that improvement efforts are aligned with organizational goals.
With a strong background in program management and change management, Nina effectively communicates the value of continuous improvement initiatives to stakeholders at all levels. Her skills in performance boards and standard work processes not only enhance team collaboration but also provide clear visibility into project progress and outcomes. As a champion of Lean principles, Nina Stewart continues to make a significant impact at American Family Insurance, driving a culture of excellence and innovation that ultimately benefits both employees and customers alike.
