Original listing text, shown exactly as published by the company.
ESSENTIAL RESPONSIBILITIES
ARCHITECTURE LEADERSHIP
- Develop and evolve the enterprise data architecture blueprint including cloud, on premises, and hybrid environments ensuring alignment with business and analytical/AI needs.
- Set the direction for modern data integration, event driven design, master data management, and responsible AI enablement.
- Evaluate current systems and design a practical modernization path that reduces technical debt and improves data quality and performance.
DATA PLATFORM AND ENGINEERING DESIGN
- Lead the architectural design for enterprise data platforms, including structured and unstructured data environments.
- Design standards for ingesting data from core policy, claims, CRM, billing, underwriting, and workflow systems.
- Establish scalable patterns for operational data feeds, partner data exchanges, real time integration, and analytical data pipelines.
- Define the strategy and technical patterns for how the company manages data copies, extracts, and transformations in a secure and governed manner.
COLLABORATION AND LEADERSHIP
- Partner closely with the Director of Data Strategy to make sure architecture aligns with business priorities.
- Work with engineering, application teams, analytics, and actuarial groups to ensure efficient, well designed data flows.
- Provide technical leadership for system modernization efforts and guide how data is structured, integrated and maintained across the enterprise.
DATA QUALITY AND GOVERNANCE
- Define architectural standards that support enterprise data quality, lineage, metadata, and stewardship expectations.
- Establish reliable integration patterns for the company’s core systems.
- Ensure the architecture meets audit, compliance, and security requirements.
TECHNICAL EXECUTION
- Lead complex architecture reviews, solution designs, and technical roadmaps.
- Oversee proof of concepts, technical assessments, and platform evaluations.
- Bring structure and clarity to a mixed technology environment with legacy systems and modern cloud services.
QUALIFICATIONS
- EDUCATION: Bachelor's degree in Computer Science, Data Science, or related field, required. Master's degree preferred.
- CERTIFICATIONS: One or more preferred: Certified Data Management Professional (CDMP), AWS Certified Solutions Architect or Data Analytics certifications, Microsoft Certified: Azure Data Engineer Associate
EXPERIENCE
- A minimum of 12 years of experience in data architecture, data engineering, or system integration required.
- Strong experience with large-scale operational systems, transactional databases, and customer-facing platforms.
- Deep experience with enterprise data feeds, real time integration patterns, analytical data pipelines, and AI enabling architectures.
- Experience designing data models, integration patterns, master data structures, and governed data ecosystems.
- Strong understanding of insurance data, regulatory requirements, and complex transactional systems.
- Proven ability to influence executives, lead cross-functional teams, and communicate complex technical concepts clearly.
