In my previous role, I worked extensively with claims management systems, focusing on enhancing user experience and operational efficiency. I led a project to integrate AI-driven analytics, which reduced claim processing time by 20%. Additionally, I collaborated with cross-functional teams to streamline workflows, resulting in a 15% improvement in system accuracy. My approach combines technical expertise with a deep understanding of user needs to deliver impactful solutions.

I prioritize features based on business impact, user feedback, and technical feasibility. I start by aligning with stakeholders to identify key objectives, then use data-driven insights to rank features. For example, I once prioritized a fraud detection module after analyzing a spike in fraudulent claims, which significantly reduced losses. Regular communication with users and stakeholders ensures that the roadmap remains aligned with organizational goals and user needs.

I stay updated on regulatory changes and collaborate with legal and compliance teams to ensure the system adheres to industry standards. For instance, I implemented automated compliance checks in a previous system, which flagged non-compliant claims in real-time. Regular audits and user training further ensure adherence. By embedding compliance into the system design, I minimize risks and maintain trust with stakeholders.

In one instance, the technical team proposed a complex feature that would delay the release, while the business team insisted on meeting the deadline. I facilitated a meeting to align priorities, proposing a phased rollout that addressed immediate business needs while allowing time for technical refinement. This compromise ensured timely delivery without compromising quality, fostering collaboration between teams.

I measure success through key performance indicators such as claim processing time, user satisfaction, and system accuracy. For example, after implementing a new feature, I tracked a 25% reduction in processing time and a 10% increase in user satisfaction scores. Regular feedback loops and data analysis help me identify areas for improvement and ensure the system meets both user and business expectations.