United Automobile Insurance Company is seeking a highly skilled Guidewire Architect to lead the architectural design and implementation of the Guidewire Claim Center system. As a key member of our team, you will be responsible for ensuring seamless integration with our data lake and advanced analytics platforms, enabling data-driven decision-making and supporting data science initiatives.

• Lead the end-to-end architectural design of the Guidewire Claim Center, ensuring alignment with our overall data ecosystem.
• Develop a strategic roadmap for the evolution of the Claim Center architecture, incorporating data science capabilities, cloud technologies, and alignment with business objectives.
• Ensure the architecture is scalable, flexible, and resilient to accommodate future business growth, technological advancements, and evolving industry standards.
• Design architecture that balances performance, reliability, and cost-effectiveness, optimizing for both current operations and long-term strategic goals.
• Collaborate with data engineers to develop data pipelines that support seamless data flow from the Claim Center to the data lake, enabling advanced analytics and real-time data processing.
• Define and implement best practices for data governance, ensuring data quality, consistency, and security across the Claim Center and the data lake.
• Work with data scientists to ensure the data architecture supports the development and deployment of machine learning models, predictive analytics, and AI-driven solutions.
• Collaborate closely with data science teams to understand their requirements for data access, processing, and analytical tools, ensuring the Claim Center architecture supports these needs.
• Architect solutions that enable real-time analytics, including the integration of AI and machine learning models directly within the Claim Center for enhanced decision-making and operational efficiency.
• Continuously monitor developments in data science, AI, and related technologies, incorporating new tools and techniques into the Claim Center architecture as appropriate.
• Provide technical leadership and mentorship to development teams working on the Claim Center and associated data projects, ensuring alignment with architectural principles and business goals.
• Conduct architectural reviews and audits to ensure adherence to best practices, standards, and the strategic vision for the Claim Center's technical architecture.
• Lead the evaluation and selection of technologies, frameworks, and tools that best fit the Claim Center's needs and the broader data ecosystem.
• Troubleshoot and resolve complex technical challenges related to the integration and performance of the Claim Center architecture.
• Act as a primary liaison between business stakeholders, IT teams, and data science groups, ensuring that the architectural design aligns with business objectives and operational requirements.
• Facilitate workshops, technical meetings, and strategic discussions to gather input, present architectural concepts, and drive consensus on key architectural decisions.
• Translate complex technical concepts into clear, understandable language for non-technical stakeholders, fostering collaboration and shared understanding across teams.
• Oversee the implementation of the Claim Center architecture, ensuring it meets project timelines, quality standards, and scope requirements.
• Collaborate with project managers to develop detailed project plans, including resource allocation, timelines, and risk mitigation strategies related to architectural components.
• Ensure that the architecture supports continuous integration and continuous deployment (CI/CD) practices, enabling rapid, reliable updates to the Claim Center system.
• Continuously assess and refine the Claim Center architecture, identifying opportunities for performance optimization, cost reduction, and enhanced functionality.
• Drive innovation by researching and exploring new technologies, methodologies, and tools that can enhance the capabilities of the Claim Center and the broader data ecosystem.
• Implement a culture of continuous improvement within the architecture and development teams, encouraging proactive identification and resolution of technical challenges.
• Ensure that the Claim Center architecture complies with industry regulations, data protection laws, and internal security policies.
• Collaborate with security teams to design and implement robust security measures within the Claim Center architecture, safeguarding sensitive data and ensuring compliance with legal and regulatory requirements.
• Conduct regular security assessments and audits to identify potential vulnerabilities and implement necessary remediation actions.
• Maintain comprehensive documentation of the Claim Center architecture, including design principles, integration processes, and technical specifications.
• Create and manage knowledge-sharing platforms to ensure that best practices, architectural decisions, and technical guidelines are easily accessible to development teams and other stakeholders.
• Provide training and technical presentations to team members and stakeholders to ensure a thorough understanding of the Claim Center architecture and its components.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
• Relevant certifications in cloud architecture, data science, or enterprise architecture are a plus.

Preferred Qualifications:

• Minimum of 8-10 years of experience in IT architecture, with significant experience in designing and implementing solutions for the Guidewire Claim Center.
• Proven expertise in data science, including experience with data lakes, big data architectures, and advanced analytics.
• Strong background in integrating enterprise systems with data platforms, including experience with cloud-based data lakes (e.g., AWS, Azure, GCP).
• In-depth knowledge of Guidewire Claim Center architecture and its modules.
• Expertise in data lake architecture, big data technologies (e.g., Hadoop, Spark), and data engineering practices.
• Proficiency in data science tools and languages (e.g., Python, R, SQL) and experience with machine learning frameworks.
• Experience with cloud computing platforms and services, particularly in relation to data storage, processing, and analytics.
• Strong analytical skills with the ability to design complex architectures that support data-driven decision-making.
• Ability to solve complex technical challenges and provide innovative solutions that align with business goals.
• Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
• Proven leadership and mentoring skills, with experience guiding technical teams and fostering collaboration across functions.
• Experience in the insurance industry, particularly in claims management and processing.
• Familiarity with Agile and DevOps methodologies.
• Previous experience in implementing AI-driven solutions in a claims processing environment.