About the position
The Claims Operations Supervisor is responsible for managing and controlling the Claims Department processes and will work closely with other Claims leaders, IT professionals, and other stakeholders to extract, analyze, and deliver actionable insights from complex datasets. The role will have a major focus on gathering business requirements, documentation, data analysis, and business impact analysis while working on system and process specific initiatives. In addition, the role expands into the area of reporting, continuous process improvements, and change management within the Claims department. The deliverables include measurable and time-bound activities, taking ownership of project milestones and ongoing stakeholder communication, with business and IT being a key business partner.
Responsibilities
- Manage a team of analysts working on Claims system and process specific initiatives.
- Lead Claims projects, specifically related to systems and processes, including the scoping of new systems and any interface requirements.
- Perform requirement analysis and management, including direct contact with IT.
- Draft business requirement documents and process designs.
- Work closely with the region and IT to execute required testing.
- Act as a champion/lead tester when business SMEs are required for UAT.
- Design test cases for UAT and create test data.
- Monitor work being developed by IT and ensure it aligns with the business' requirements.
- Develop into an SME for all claim systems/processes.
- Perform data analysis to provide factual evidence for process efficiency and business cases.
- Act as the point of contact for technical queries relating to claim systems.
- Facilitate and coordinate with various functions of the organization in capturing data for claims regulatory reporting and analysis.
- Assist Claims Management in establishing, customizing, and/or reusing existing processes to streamline Claims management.
- Partner with cross-functional teams, including Claims leaders, underwriting, finance, IT, and data management, to understand business requirements and develop data-driven insights to support decision making.
- Perform in-depth data analysis, utilizing analytical thinking and problem-solving skills to identify patterns, trends, and relationships within large datasets.
- Develop and implement processes for data validation and reconciliation to ensure data quality and reliability.
- Utilize Microsoft Excel, PowerBI, SQL, Azure, Python, or QlikSense to manipulate and analyze data, creating insightful reports and visualizations to support decision-making.
