Director, Data Engineering & Analytics

relationinsurance; United States; Remote; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health benefits

Retirement savings

Employee assistance

Paid time off

Holidays

Job summary

relationinsurance is seeking a Director of Data Engineering to own the strategy and day-to-day delivery of enterprise data initiatives in the United States. The role blends hands‑on development with setting technical standards, executive partnership, and team leadership to build secure, reliable data products that inform business decisions.

You will design production pipelines, standardized metrics, and dashboards, while guiding AI-assisted validation and ensuring audit-ready data governance.

Qualifications

• Must lead end-to-end data engineering and analytics delivery.
• Proficient in SQL, Python, and PySpark for pipeline development.
• Experience with lakehouse, ELT, orchestration, testing, reconciliation, observability, and production support.
• Knowledge of data access controls, secure handling, and audit-ready processes.
• Strong communication to executives and nontechnical partners.

Responsibilities

• Turn executive priorities into a practical data roadmap and deliver outcomes.
• Build and support production pipelines, curated datasets, and domain models.
• 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.
• 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.

Skills

SQL

Python

PySpark

Data pipelines

Lakehouse architecture

Job description

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.