AVP, Claim Quality Assurance

JOB DESCRIPTION

The Claims Quality Assurance (QA) Manager of Technology at Chubb focuses on strategic leadership, technology management, team leadership, stakeholder engagement, and innovation in QA processes.

Here's a breakdown of the key responsibilities and expectations:

Strategic Leadership & Vision

•Execute the QA Technology Strategy: Action on the Claims QA technology plan timely and effectively to drive continuous QA process, operational and output improvement.

•Evaluate Emerging Technologies: Research and assess technologies as they emerge, especially in AI and NLP, to identify their potential benefits and application to QA.

•Collaborate on Data Solutions: Work with internal teams to create and continue to advance methods for extracting claims data for the purposes of developing discrete claim file pulls and correlating various claims data elements against QA generated output.

•Manage Initiatives: Prioritize and manage projects to ensure efficient delivery of QA outputs.

•Advise on Data Use: Provide guidance to other QA leaders on leveraging data and analytics to support the Claims QA strategy.

QA Technology Management, Development & Implementation

•Set Software Parameters: Adjust and maintain QA software settings to align with organizational structures.

•Manage QA Reports: Build timely and accurate QA reports, and continuously advance the report templates, infusing automation in report generation

•Lead AI and NLP Projects: Oversee the continuous creation and implementation of AI and NLP solutions for automated reviews and data analysis.

•Integrate Data Sources: Manage the integration of data from various sources to support deep dive claim reviews.

•Maintain Internal Resources: Organize and manage the QA team's SharePoint and internal website.

•Own Job Aides & Workflow Mapping: Develop and maintain job aides and workflow maps documenting how to use the QA software and pull the necessary data for reporting purposes.

Team Leadership & Management

•Lead and Mentor: Guide and support claims data analysts in their roles.

•Foster Collaboration: Create a work environment that promotes teamwork and continuous learning.

•Track Performance: Set and monitor goals to evaluate team performance and project outcomes.

Stakeholder Engagement & Collaboration

•Manage Vendor Relationships: Oversee ongoing relationships with QA software vendor to ensure quality outputs.

•Partner with Business Leaders: Regularly collaborate with leaders across functions to understand their QA data needs and provide customized solutions.

Communicate Insights: Effectively convey complex and bespoke data/insights to discrete audiences, including Innovation and Emerging Technologies

•Stay Updated on Trends: Keep informed about the latest advancements in QA technology and AI.

•Pilot New Tools: Test and evaluate new technologies to enhance QA capabilities.

•Drive Data Visualization Innovation: Improve the accessibility...