Role description
Define and execute the data architecture vision and strategic roadmap in close alignment with the CDO and enterprise data strategy
Architect scalable resilient and secure solutions for enterprisewide data integration warehousing analytics operational systems and augmentation with external data sources
Develop and champion standardized insurancecentric data modeling frameworks data architecture best practices and reference architectures to ensure quality consistency and performance
Architectural Oversight Solution Delivery
Drive architectural oversight for design build and operate phases of critical enterprise data initiativesincluding new insurance products data platforms modernization digital transformation and regulatory projects
Translate functional and technical requirements into robust data architectures guide engineering analytics product and delivery teams throughout the data solution lifecycle
Perform handson technical delivery and problem solving for complex strategic initiatives ensuring successful execution against business compliance and technical requirements
Formalize current and futurestate architectural roadmaps that support unified global and consistent views of Customer Policy Claims Financials and other key insurance data domains
Insurance Data Domain Leadership
Develop and maintain standardized insurance data models schemas and pipelines ensure applicability across the business for operational analytical and regulatory purposes
Integrate core insurance application data eg Policy Administration Claims Reinsurance Financials with enterprise data platform and external thirdparty sources for holistic insights
Lead data architecture initiatives supporting evolving requirements of actuarial underwriting claims compliance finance and product innovation teams
Adoption of Modern Data Technologies Best Practices
Evaluate select and drive adoption of cuttingedge data technologies and architectural approaches cloudnative distributed streaming data lakehouse realtime analytics
Accelerate enablement of cloudbased medallion architecture bronzesilvergold data pipeline automation metadata management and advanced analytics infrastructure
Promote strong data governance integrationincluding quality cataloging lineage privacy security and compliance policiesacross all data architecture outputs
Data Organization Leadership Team Building
Build and mentor a highperforming Data Architecture function including data architects modelers solution designers and technical delivery leads
Foster crossteam collaboration with engineering operations analytics and governance teams ensuring seamless delivery of robust data solutions across the enterprise
Stakeholder Engagement Change Leadership
Serve as chief architectural advisor and liaison to internal and external stakeholders educating teams on data architecture capabilities and value
Ensure business requirements are accurately captured and reflected in scalable technical designs drive business adoption and platform utilization
Continuous Improvement Innovation Risk Management
Champion continuous improvement in architectural processes tooling methodology and capability development
Lead architectural risk assessment mitigation and proactive controls to ensure technical business and compliance objectives are met
Track and report architectural health and progress using enterprise KPIs quality metrics and roadmap milestones
Technical Skills Requirements
Advanced handson expertise in designing and modeling enterprise data architectures cloudnative hybrid lakehouse distributed realtime
Deep experience with data management advanced data modeling conceptual logical physical insurance data schemas and master datareference data frameworks
Proven delivery across modern data technology stacksDatabricks Snowflake Spark AWSAzureGCP data services streamingdata integration platforms metadatacataloging tools
Expertise in Medallion architecture batchstreaming pipeline design external data augmentation
Indepth understanding of metadata management data governance lineage cataloging residency and securityprivacy frameworks
Familiarity with insurance business models core platforms Guidewire Duck Creek Majesco and regulatorycompliancedriven architecture requirements
Ability to assess legacy and modern architectures and transition organizations toward future state aligned with business goals
Experience driving transformation of architecture standards and best practices across globally distributed teams
Required Qualifications
Bachelors or Masters degree in Computer Science Data Science Data Engineering Information Systems or related field advanced degree highly preferred
12 years experience in data architecture data mo
