Senior Insurance Data Analytics Jobs (NOW HIRING)

Job Summary:
Starr Insurance Holdings is a leading insurance and investment organization, providing a wide range of commercial insurance solutions. The Senior Director, Data Architecture will lead the development and implementation of a robust Data Architecture practice to support the company's global data vision, ensuring the delivery of scalable and secure data solutions across various insurance systems and platforms.
Responsibilities:
• 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 enterprise-wide data integration, warehousing, analytics, operational systems, and augmentation with external data sources.
• Develop and champion standardized, insurance-centric data modeling frameworks, data architecture best practices, and reference architectures to ensure quality, consistency, and performance.
• Drive architectural oversight for design, build, and operate phases of critical enterprise data initiatives—including 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 hands-on technical delivery and problem solving for complex, strategic initiatives, ensuring successful execution against business, compliance, and technical requirements.
• Formalize current- and future-state architectural roadmaps that support unified, global, and consistent views of Customer, Policy, Claims, Financials, and other key insurance data domains.
• 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 (e.g., Policy Administration, Claims, Reinsurance, Financials) with enterprise data platform and external third-party sources for holistic insights.
• Lead data architecture initiatives supporting evolving requirements of actuarial, underwriting, claims, compliance, finance, and product innovation teams.
• Evaluate, select, and drive adoption of cutting-edge data technologies and architectural approaches (cloud-native, distributed, streaming, data lakehouse, real-time analytics).
• Accelerate enablement of cloud-based, medallion architecture (bronze/silver/gold), data pipeline automation, metadata management, and advanced analytics infrastructure.
• Promote strong data governance integration—including quality, cataloging, lineage, privacy, security, and compliance policies—across all data architecture outputs.
• Build and mentor a high-performing Data Architecture function, including data architects, modelers, solution designers, and technical delivery leads.
• Foster cross-team collaboration with engineering, operations, analytics, and governance teams, ensuring seamless delivery of robust data solutions across the enterprise.
• 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.
• 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.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field; advanced degree highly preferred.
• 12+ years’ experience in data architecture, data modeling, and enterprise data management with 5+ years in senior leadership roles.
• Significant insurance industry experience, ideally within P&C and Specialty, with deep understanding of industry data requirements.
• Proven track record architecting, delivering, and governing complex data solutions for operational, analytical, and regulatory purposes in global organizations.
• Expertise building and formalizing insurance data models, frameworks, and best practices.
• Experience leading architectural teams, driving transformation and adoption of modern data architectures and governance.
• Excellent technical leadership, stakeholder management, communication, and problem-solving skills.
Preferred:
• Professional certifications in data architecture, cloud platforms (AWS, Azure, GCP), and insurance data management are highly desirable.
Company:
With 100+ years of experience across leading industries, We apply an innovation mindset, agile approach, And a global team with local expertise wherever you operate. Founded in 1919, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.