Senior Director, Data Engineering

Overview

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.

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.
• 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.
• 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.
• Analyze the enterprise data landscape to identify redundant, fragmented, or obsolete assets; lead their retirement and accelerate consolidation onto strategic, scalable global platforms.
• 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.
• 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.
• 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.
• Institutionalize continuous improvement in engineering methodologies, automation, and platform resilience.
• Owning 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 engineering teams and building organizational capability in both legacy and modern data management approaches.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field; advanced degree preferred.
• 12+ years’ experience in enterprise data engineering, data integration, and platform delivery, with at least 5 years in senior leadership roles.
• Extensive Insurance industry experience—particularly in financial, regulatory, and operational data management.
• Proven track record leading and delivering complex data migrations, platform consolidations, and business-critical automation initiatives.
• Expertise in mentoring and building high-performing teams skilled in modern data engineering and insurance data modeling.
• Strong technical leadership, stakeholder management, program delivery, and communication skills.
• Professional certifications in cloud platforms, data engineering, or insurance data management are highly desirable.

Pay

An estimated salary range for this position is $170,000-$225,000.

Schedule

This role will be central to strengthening, rationalizing, and scaling Starr’s enterprise data organization, enabling the business to unlock more timely, trusted insights and achieve operational and financial excellence across global insurance portfolios.

Benefits

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.