AVP IT Management - IM05AE

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Job Title: AVP-Claims Data Lead

Overview: We are seeking an experienced Claims Data Lead to drive our end-to-end claims transformation initiative. This role will leverage real-time data to enhance automation and operational efficiency, reimagining claims processes through advanced data-driven solutions and IoT insights. The individual will collaborate with cross-functional teams, including IT, claims operations, IoT, product, and data science, to create and implement data solutions that support our transformation goals.

• Develop and execute a data strategy for claims transformation, aligning with business goals and the reimagined claims lifecycle.
• Ensure IoT data integration and AI readiness to drive automation and augment decision-making processes.

• Architect scalable, sustainable data models and implement a cohesive data domain and product strategy.
• Simplify the Claims data ecosystem and democratize data for consumption, ensuring alignment with generative AI requirements.
• Collaborate with IT and architecture teams for seamless integration and data flow across platforms.

• Lead initiatives to integrate generative AI solutions into claims processes, including documentation, communication, and assessment.
• Ensure data readiness by building high-quality, structured, and compliant datasets tailored for AI-driven applications.

• Partner with data science teams to apply predictive modeling, machine learning, and AI to enhance claims processes.
• Leverage insights from IoT and AI-driven data to detect fraud, assess damage, and optimize the claims workflow.

• Develop and implement a BI strategy to enable real-time reporting, self-service analytics, and actionable insights for claims teams.
• Design intuitive dashboards and data visualizations that support decision-making and operational improvements.

• Establish governance standards and quality measures for IoT, claims, and AI-ready data, ensuring accuracy, compliance, and data integrity.
• Develop best practices for preparing data optimized for AI models, ensuring quality and scalability.

• Design and deploy self-service data tools, dashboards, and reporting solutions that empower claims teams to access real-time IoT and AI insights.

• Design and implement data pipelines to collect, process, and integrate data from IoT devices into claims processes.
• Leverage IoT data to automate claims triggers, expedite assessments, and support real-time decision-making.

• Act as a bridge between technical and business stakeholders, translating IoT, AI, and data insights into actionable claims solutions.
• Effectively communicate the impact of data-driven initiatives to non-technical stakeholders.

• Stay updated on industry trends and emerging technologies in IoT, data management, and AI.
• Assess new tools and techniques for their applicability to our claims transformation goals.

• Lead and manage a team of over 50 professionals within the Claims Data organization.
• Oversee a multi-year data transformation to modernize the Claims data ecosystem in the Cloud.

• Ensure data readiness for building co-pilots for complex claims and chatbots.
• Develop and maintain datasets that support the creation of AI-driven tools to enhance claims processing and customer interactions.

• Build strong partnerships with claims leadership to understand and address key pain points.
• Enable data-driven solutions that directly tackle challenges faced by the claims teams, enhancing overall efficiency and effectiveness.

• 15+ years of experience in data management, analytics, or related roles, with significant experience in claims or insurance preferred.
• 10+ years of technical leadership.
• Mastery in Data Engineering and Architecture, including data warehouse, integration, data lake, data domains, data products, BI, and cloud technology capabilities.
• Strong expertise in IoT data integration, data architecture, and AI-ready data preparation.
• Proven experience in designing and implementing BI strategies, dashboards, and self-service analytics tools.
• Proficiency with BI platforms like Tableau, ThoughtSpot, Power BI, or Looker.
• Experience with generative AI and machine learning solutions applied to business processes.
• Proficiency in SQL, data warehousing, and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Strong knowledge of data governance, data quality management, and best practices for scalable data solutions.
• Exceptional project management skills with the ability to lead cross-functional teams.
• Excellent communication skills, with the ability to simplify technical concepts for business audiences.
• Broad knowledge across multiple technologies including big-data solutions, microservices, container, cloud-based solutions, and integration methodologies.
• In-depth knowledge of data management strategies, principles, and practices.