Chief Data Officer

Starr Insurance; New York (NY); On-site; USD 260,000 - 360,000; Full time

Benefits offered by this job

Flexible work options

Job summary

Starr Insurance in New York seeks a Chief Data Officer to lead the enterprise data platform, data organization, and governance for a global insurance business. This executive shapes data strategy, architecture, and analytics across Actuarial, Underwriting, Claims, Compliance, and Finance.

The CDO will oversee a world-class data team, drive technology innovation, and ensure regulatory compliance while enabling a unified, scalable data ecosystem to support complex insurance operations.

Qualifications

• The candidate has 15+ years in enterprise data and analytics.
• 15+ years leading large-scale data organizations in insurance.
• Proven track record building data architecture, governance, and operations.
• Experience delivering data platforms for underwriting, actuarial, claims, and finance.

Responsibilities

• Define and drive the global enterprise data strategy.
• Architect and deliver a scalable multicloud/hybrid data platform.
• Lead onboarding, data augmentation, and adoption roadmaps.
• Build data organization spanning architecture, governance, analytics and stewardship.
• Partner with Actuarial, Claims, Underwriting, Compliance and Finance.

Skills

Leadership

Data strategy

Stakeholder management

Insurance data models

ETL/ELT design

Governance

Cloud analytics

Multicloud architectures

Actuarial, Claims, Underwriting

Data operations & stewardship

MDM knowledge

Education

Bachelor’s or Master’s degree in CS/DS/Engineering/IS

Advanced degree preferred

Tools

Databricks

Snowflake

Collibra

Informatica

Azure Purview

Spark

SQL

Python

Scala

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you’ll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.

Job Description: Chief Data Officer (Enterprise Data Platform)

Location: New York, New York

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 complex insurance business functions, including Actuarial, Underwriting, Claims, Compliance, and Finance—while enabling a unified, global view of enterprise-wide data assets.

CDO leads the creation of a modern, comprehensive enterprise data ecosystem, championing technical innovation (cloud, medallion 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 complex insurance applications and analytics.

• Lead 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 inspire 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

• Lead design and engineering of complex batch and real-time pipelines using diverse ingestion patterns (CDC, APIs, files, streaming platforms).

• Implement Medallion architectures (bronze/silver/gold layers) leveraging Databricks, 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).

• Develop 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 oversee enterprise-wide data governance policies for stewardship, quality, access, lineage, cataloging, and regulatory compliance (GDPR, CCPA, SOX, NAIC, etc.).

• Ensure rigorous data privacy, usage, and retention management across all data domains.

• Build teams responsible for ongoing governance operations, metadata management, and audit readiness.

Stakeholder Engagement & Business Partnership

• Act as the chief liaison for all enterprise data initiatives, collaborating deeply with insurance business functions (Actuarial, Claims, Underwriting, 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, security, scalability, monitoring, and automation of all data assets.

• Foster innovation through adoption of new technologies, best practices, and continuous improvement methods; empower 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 all data platform and organizational functions; drive value realization and cost optimization for data investments.

• Proactively manage risk, business continuity, and compliance for critical data assets and operations.

KPIs & Continuous Improvement

• Define, monitor, and optimize critical metrics: pipeline reliability and latency, data quality, master data coverage and integrity, speed to market for integrations/augmentations, platform scalability and cost efficiency, regulatory compliance, and business user satisfaction.

Technical Skills & Requirements:

• Advanced hands-on experience: cloud-native data platforms (Databricks, Snowflake, AWS/Azure/GCP Data Services), Medallion architecture, batch/streaming pipelines, event-driven architectures, Spark, SQL, Python, Scala.

• 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 (Collibra, Informatica, Azure Purview).

• Extensive knowledge of enterprise data governance, stewardship, lineage, 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, Underwriting, 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 related 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 complex 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, Databricks Certified, AID, CPCU).

• Experience with core insurance, reinsurance, claims and financial platforms and their data architectures (Guidewire, Duck Creek, Majesco, SAP, Workday ERP solutions, etc.).

Starr is an equal opportunity employer, which means we’ll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we’re committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.