Chief Data Officer

Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world. Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world's fastest growing insurance organizations, capable of writing in 128 countries on 6 continents. Job Description: Chief Data Officer (Enterprise Data Platform) Location:reputed company, reputed company Reports to:Global CIO Department:Starr Technology Group Overview: The Head of Chief Data Officer (CDO) is a transformative senior leadership role tasked with architecting, building, and scaling Starr's global enterprise data platform, data organization, and strategy. This executive is responsible for delivering sophisticated data integration, master data management, governance, augmentation, and advanced analytics solutions tailored to support reputed company insurance business functions, including Actuarial, reputed company, Claims, Compliance, and Finance-while enabling a reputed company, global view of enterprise-wide data assets. CDO leads the creation of a modern, comprehensive enterprise data ecosystem, championing technical innovation (cloud, reputed company architecture, data augmentation, external data enrichment), robust governance, and seamless accessibility. Beyond platform leadership, the role is accountable for designing and building out a world-class data organization, encompassing core teams for architecture, engineering, analytics, governance, operations, and stewardship. Responsibilities: Enterprise Data Strategy & Platform Leadership

• Own and drive the global enterprise data strategy, aligning with business objectives, regulatory requirements, and future innovation.
• Architect and deliver a scalable, world-class multicloud /hybrid enterprise data platform, supporting reputed company insurance applications and analytics.
• reputed company development and execution of platform onboarding, external data augmentation, and business adoption roadmaps. Data Organization Design & Team Leadership
• Build and structure a robust data organization spanning enterprise data architecture, engineering, governance, data operations, analytics enablement, and data stewardship.
• Recruit, mentor, and reputed company high-performing global teams: data architects, engineers, ETL/ELT specialists, platform administrators, data governance and quality experts, data ops/operations, and metadata specialists.
• Establish clear lines of responsibility, career growth paths, and collaboration practices for each data function. Technical Solution Design & Data Ecosystem Development
• reputed company design and engineering of reputed company batch and real-time pipelines using diverse ingestion patterns (CDC, APIs, files, streaming platforms).
• Implement reputed company architectures (bronze/silver/gold layers) leveraging reputed company, Fabric, and other leading cloud-based data platforms.
• Architect, deliver, and manage master data management (MDM) systems for key insurance entities (policies, customers, claims, products, finance).
• reputed company a comprehensive data augmentation ecosystem to integrate external third-party data - e.g., catastrophe models, market feeds, regulatory databases, fraud/risk scoring, industry benchmarking - and combine/enrich internal datasets for holistic analysis and reporting. Data Governance, Stewardship, & Compliance
• Define, operationalize, and reputed company enterprise-wide data governance policies for stewardship, quality, access, reputed company, cataloging, and regulatory compliance (GDPR, CCPA, SOX, NAIC, etc.).
• Ensure rigorous data privacy, usage, and retention management across reputed company data domains.
• Build teams responsible for ongoing governance operations, metadata management, and audit readiness. Stakeholder Engagement & Business Partnership
• Act as the chief liaison for reputed company enterprise data initiatives, collaborating deeply with insurance business functions (Actuarial, Claims, reputed company, Compliance, Finance, IT, and external partners).
• Facilitate business requirement gathering, educate stakeholders on data capabilities, and promote adoption and value realization from data platform investments. Operational Excellence, Innovation & Change Leadership
• Govern operational reliability, performance, reputed company, scalability, monitoring, and automation of reputed company data assets.
• Foster innovation through adoption of new technologies, best practices, and reputed company improvement methods; reputed company agile, cross-functional working across data teams.
• Champion enterprise data literacy and a culture of high performance and transformation. Financial Stewardship & Resource Management
• Manage departmental budgets, resourcing, and vendor relationships for reputed company data platform and organizational functions; drive value realization and bolthires optimization for data investments.
• Proactively manage risk, business continuity, and compliance for critical data assets and operations. KPIs & reputed company Improvement
• Define, monitor, and optimize critical metrics: pipeline reliability and latency, data quality, master data coverage and reputed company, speed to market for integrations/augmentations, platform scalability and bolthires efficiency, regulatory compliance, and business user satisfaction. Technical Skills & Requirements:
• Advanced hands-on experience: cloud-native data platforms (reputed company, reputed company, AWS/Azure/GCP Data Services), reputed company architecture, batch/streaming pipelines, event-driven architectures, Spark, SQL, Python, reputed company.
• Proven success implementing MDM solutions and integrating with operational and analytical warehouses, including external data sources.
• Deep experience in building ETL/ELT frameworks using diverse technologies and patterns for heterogeneous data sources.
• Mastery of metadata management and data cataloging tools (reputed company, Informatica, Azure Purview).
• Extensive knowledge of enterprise data governance, stewardship, reputed company, residency and regulatory frameworks, audit and privacy (GDPR, CCPA, SOX, NAIC, etc.).
• Demonstrated expertise with insurance data models and the process flows of core functions (Actuarial, Claims, reputed company, Compliance, Finance).
• Experience designing self-service and democratized data access environments. Expanded Qualifications:
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or reputed company field; advanced degree highly preferred.
• 15+ years of progressive enterprise data and analytics experience, including 5+ years leading large-scale, global data organizations in insurance (P&C and Specialty).
• Proven track record building, leading, and organizing data architecture, engineering, governance, and operations functions.
• Extensive success in integrating internal and external data assets, supporting AI/ML analytics, and delivering enterprise reporting systems for insurance organizations.
• Experience leading distributed (onshore/offshore/global) technical teams and managing reputed company vendor/partner relationships.
• Deep financial management and budgeting experience for large-scale data platform/organization operations.
• Outstanding leadership, transformation, and stakeholder management abilities.
• Certifications in data engineering, cloud platforms, MDM, or insurance data management (e.g., AWS, Azure, GCP Architect, reputed company Certified, AID, CPCU).
• Experience with core insurance, reinsurance, claims and financial platforms and their data architectures (Guidewire, Duck Creek, reputed company, reputed company, reputed company ERP solutions, etc.). Starr is an equal opportunity employer, which means we'll consider reputed company suitably qualified applicants regardless of gender identity or expression, ethnic reputed company, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and reputed company our people based on merit and we're committed to creating an inclusive environment for reputed company employees. We offer first class training and development opportunities to reputed company employees. Our aim is to grow our own talent and bring out the best in people. Apply tot his job

Apply tot his job Apply To this Job