Director, Data Engineering & Analytics

Relation Insurance is a leading, innovative company with a strong commitment to excellence and a passion for delivering cutting‑edge solutions to our clients. As a key player in the insurance market, we pride ourselves on our dynamic culture, collaborative environment, and continuous drive for success. With a rich history and a bright future ahead, we are looking for exceptional individuals to join our team and contribute to our ongoing growth and success.

The Director, Data Engineering and Analytics leads the strategy, architecture, delivery, and continuous improvement of Relation’s enterprise data engineering and analytics capabilities. The individual in this role owns the data platform and analytics function end to end, ensuring scalable, reliable, secure, and trusted data solutions that support business priorities and measurable outcomes. The Director provides hands‑on technical leadership, advances the responsible use of automation and proprietary AI, and leads and develops data engineering and analytics professionals.

The Director partners with executive, business, and technology leaders to translate priorities into a practical data roadmap and drive execution. The individual in this role establishes standards for data architecture, integration, quality, governance, security, reporting, and analytics while remaining sufficiently hands‑on to guide complex technical work, resolve issues, and clearly communicate data, trade‑offs, and risk to non‑technical stakeholders.

Ownership and Accountability Owns Relation’s data engineering and analytics function end to end, with full responsibility and accountability for execution and outcomes. Translates business priorities, as set by executive and business leadership, into the data and analytics roadmap, sequences the work within those priorities, and drives it to completion, owning the outcome regardless of team size. Serves as the primary point of contact and accountable authority for executives, business leaders, auditors, and carrier partners on data, reporting, and analytics matters.

Provides executive‑ready reporting on platform health, delivery progress, data quality, and data risk, and walks executives through the numbers in plain language. Partners with IT, Information Security, Finance, Operations, and business leadership to obtain source access, implement controls, and drive adoption, while retaining accountability for data interpretation and outcomes. Personally designs, builds, and maintains production data pipelines from core brokerage and enterprise systems.

Owns data processes end to end: understanding the business need, profiling source data, modeling, transforming, validating, delivering, and supporting the result in production. Writes production‑quality SQL, Python, and PySpark as a regular part of the job; troubleshoots failed loads, data discrepancies, and performance issues down to the root cause. Builds and maintains curated, reusable datasets and data models for core domains (e.g., Client, Policy, Submission, Carrier, Producer, Revenue, Commission).

Defines and standardises KPI logic and PowerBI semantic models (e.g., premium, revenue, retention, hit ratio, pipeline, cross‑sell, service metrics) so the business works from one version of the truth. Builds and delivers executive dashboards and self‑service reporting, and works directly with business stakeholders to drive adoption. Makes practical architecture decisions for the lakehouse platform (medallion bronze/silver/gold layers, ELT patterns, orchestration) with a focus on reliability, simplicity, and cost.

Directs AI coding agents as the function’s primary delivery capacity: decomposes initiatives into…