Director, Data Engineering & Analytics

Role overview

This director owns the strategy and day-to-day delivery of enterprise data engineering and analytics. The role combines hands-on development with technical standards, executive partnership, team leadership, and accountability for secure, reliable data products that support business decisions.

Responsibilities

- Turn executive and business priorities into a practical data roadmap, sequence initiatives, and remain accountable for delivery and outcomes. - Build and support production pipelines, curated datasets, and domain models from core business systems; investigate data quality and performance issues to their root cause. - Define architecture and standards for data integration, modeling, governance, security, quality, reporting, and analytics. - Standardize business metrics and semantic models, and deliver dashboards and self-service reporting that stakeholders use. - Communicate platform health, delivery progress, data quality, and risk to executives, auditors, and business partners. - Guide the use of AI coding agents and automated validation, review generated work, and protect sensitive data through approved practices.

Requirements

- Proven ability to lead data engineering and analytics delivery end to end while remaining hands-on with complex technical work. - Strong production experience with SQL, Python, and PySpark, including pipeline development and troubleshooting. - Experience with lakehouse architecture, data modeling, ELT, orchestration, testing, reconciliation, observability, and production support. - Knowledge of data access controls, secure handling, and audit-ready processes. - Strong communication skills, including presenting data, tradeoffs, and risks clearly to executives and nontechnical partners. - Ability to manage competing priorities and lead or develop data engineering and analytics professionals.

Nice to have

- Experience applying automation or AI to data validation, anomaly detection, and code review, with attention to accuracy and sensitive information. - Familiarity with insurance and metrics such as premium, revenue, retention, and commissions.

Benefits and work setup

The posting describes a competitive benefits program that includes health and wellness offerings, retirement savings, employee assistance, paid time off, and holidays. It also mentions career development opportunities.