Senior Director, Data Engineering

About this role

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.

Overview The Senior Director, Data Engineering is a senior leadership role, responsible for driving the transformation and execution of Starr’s enterprise data ecosystem in direct support of core insurance business functions—including underwriting, claims, risk, finance, and regulatory reporting. Reporting to the AVP, Financial Systems, this leader will oversee the design, build, and operation of robust enterprise data solutions that solve for complex integration challenges, accelerate business processes, and deliver trusted, timely insights. Central to this role is the consolidation and rationalization of fragmented, legacy regional data assets onto unified, scalable global operational data platforms. This leader will champion data engineering and warehousing best practices, focusing on efficient and automated data flows, high-performance processing, and proactive data quality management. The Senior Director will optimize and enable critical finance and actuarial workflows—such as month-end close cycles and daily general ledger/reinsurance data processing—while safeguarding reliability and compliance for business operations. You will be responsible for shaping the technical strategy and operational effectiveness of Starr’s Data Engineering function, building organizational capability, innovating processes and technologies, and forging deep partnerships with stakeholders across the insurance business.

Key Responsibilities Data Integration & Enterprise Warehousing • Architect, design, and deliver scalable data integration solutions that consolidate, standardize, and enrich data from regional and legacy systems to global platforms for underwriting, claims, risk, finance, and regulatory domains.

• Lead the migration of fragmented, heterogeneous datasets and overlapping regional warehouses into unified enterprise repositories, enforcing standard schemas and data models.

• Ensure robust engineering of data warehouses/marts optimized for business processes, analytics, and regulatory reporting.

Business Process Automation & Data Flow Optimization • Drive strategic initiatives to accelerate and optimize the month-end close cycle, with automation of reconciliations and enhanced data flows for finance and actuarial teams.

• Oversee the transition from monthly batch processing of premium, claims, general ledger and reinsurance data to daily ingestion and transformation, enabling timelier, more accurate financial and risk reporting.

Data Quality & Reliability • Establish systematic processes and tooling for proactive detection, monitoring, and resolution of data quality issues, ensuring the completeness, accuracy, and reliability of key data assets for operational and regulatory use.

• Implement rigorous data validation, reconciliation, and lineage frameworks for transparent, auditable data delivery to stakeholders.

Legacy Rationalization & Platform Consolidation • Analyze the enterprise data landscape to identify redundant, fragmented, or obsolete assets; lead their retirement and accelerate consolidation onto strategic, scalable global platforms.

Stakeholder Engagement & Delivery • Collaborate intensively with business and technical stakeholders—underwriting, claims, risk, finance, compliance, and IT—translating functional needs into actionable data engineering solutions.

• Advocate for and ensure business-aligned delivery, change management, and adoption of new processes and platforms across teams.

Team Leadership & Talent Development • Build and lead a high-performing globally distributed data engineering team, fostering expertise in modern technologies, insurance data modeling, and operational best practices.

• Mentor and develop talent in both technical proficiency and business domain knowledge, with emphasis on supporting well-modeled data warehouses/marts tailored for insurance operations.

Architecture Alignment & Technical Excellence • Partner with Data Architecture leadership to align engineering design and delivery to enterprise reference architectures, governance frameworks, and quality standards. • Ensure data security (PII / data classification) practices are tightly implemented.

Continuous Improvement & Risk Management • Institutionalize continuous improvement in engineering methodologies, automation, and platform resilience.

• Own risk assessment, controls, and performance tracking for data engineering initiatives using defined KPIs and health metrics.

Technical Skills & Requirements • Significant hands-on expertise building, integrating, and supporting enterprise-scale data warehousing and engineering solutions in complex insurance environments.

• Advanced proficiency with SQL, Informatica, SSIS as well as cloud-native data engineering platforms (Databricks, Azure Fabric), ETL/ELT orchestration, and automation frameworks.

• Deep experience in migration and integration of legacy/regional systems and data assets into consolidated, standardized global platforms.

• Strong working knowledge of Insurance business systems (Policy, Claims, Finance, Reinsurance), core data structures, and compliance/reporting requirements.

• Proven ability to architect and operationalize solutions for daily financial data processing and reporting, reconciliation automation, and actuarial/finance workflow enablement.

• Demonstrated skill in deploying and managing data quality, validation, reconciliation, and issue resolution frameworks.

• Experience leading Insurance data e

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