Remote opportunity at
Relation InsuranceDirector, Data Engineering & Analytics
Relation Insurance operates as an innovative company in the insurance market, delivering advanced solutions to its clients through a collaborative and dynamic environment. The organization is…
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About This Role
Relation Insurance operates as an innovative company in the insurance market, delivering advanced solutions to its clients through a collaborative and dynamic environment. The organization is currently seeking a Director, Data Engineering & Analytics to oversee the enterprise data architecture, analytics function, and engineering capabilities from end to end. This leadership position suits an experienced technology professional who enjoys remaining hands-on with production code while managing strategic data roadmaps. The…
Job Description
Relation Insurance operates as an innovative company in the insurance market, delivering advanced solutions to its clients through a collaborative and dynamic environment. The organization is currently seeking a Director, Data Engineering & Analytics to oversee the enterprise data architecture, analytics function, and engineering capabilities from end to end.
This leadership position suits an experienced technology professional who enjoys remaining hands-on with production code while managing strategic data roadmaps. The incumbent will take full ownership of the data platform, partnering closely with executive, business, and IT leaders to align technical execution with company objectives. Responsibilities include building production data pipelines, establishing data governance standards, advancing the use of proprietary AI and automation, and guiding a technical team.
Candidates will spend their time designing scalable data solutions, creating reusable datasets, defining key performance indicators, and directing AI coding agents for development capacity. The role requires regular writing of production-quality SQL, Python, and PySpark, along with providing executive-ready reporting on platform health and data risk. Relation Insurance provides equal employment opportunities for all applicants and employees.
Responsibilities
- Lead the strategy, architecture, delivery, and continuous improvement of enterprise data engineering and analytics capabilities
- Translate business priorities from leadership into a practical data roadmap and drive execution to completion
- Serve as the primary point of contact for executives, business leaders, auditors, and carrier partners on data matters
- Personally design, build, and maintain production data pipelines from core brokerage and enterprise systems
- Write production-quality SQL, Python, and PySpark code and troubleshoot performance issues or failures
- Build and maintain curated, reusable datasets and data models for core domains such as client, policy, and revenue
- Define and standardize KPI logic and Power BI semantic models for executive dashboards and self-service reporting
- Direct AI coding agents as primary delivery capacity, delegating implementation, testing, and documentation tasks
- Build AI-driven validation, automated reconciliation, and anomaly detection into every data process
- Manage intake of data requests, align priorities with leadership, and establish lightweight engineering standards
- Enforce data quality controls, testing, monitoring, and incident response data SLAs
- Maintain practical governance, documentation, data definitions, lineage, and role-based access controls for sensitive data
Requirements
- Minimum 10 years of progressively responsible hands-on experience in data engineering, analytics engineering, data architecture, or data analytics
- Demonstrated ability to operate as the accountable owner of a data platform or analytics function
- Previous leadership experience managing technical teams, people leaders, projects, or cross-functional initiatives
- Current hands-on experience writing production SQL, Python, and PySpark
- Deep, daily, hands-on use of AI across the engineering lifecycle, including agentic coding tools and LLM APIs
- Expertise in data modeling, MDM concepts, entity resolution, lakehouse architecture, ELT, and pipeline reliability patterns
- Experience with data quality testing, reconciliation, observability, secure data handling, and role-based access controls
Qualifications
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
Core Skills
Benefits
- Competitive pay
- Family health and wellness programs
- 401K
- Employee assistance programs
- Paid time off
- Paid holidays
- Career advancement and development opportunities
- Eligibility to participate in a discretionary annual incentive program
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The source posting indicates that the position is remote.
What is the salary range for the Director, Data Engineering & Analytics role?
The reasonable estimate for the wage range is between $178,000.00 and $294,000.00 annually, depending on factors such as skill sets, experience, and business needs. Eligible candidates may also participate in a discretionary annual incentive program.
What level of experience is required?
Candidates must have a minimum of 10 years of progressively responsible hands-on experience in data engineering, analytics engineering, data architecture, data analytics, or related technology roles, along with previous leadership experience.
What technical skills are necessary for this role?
The role requires writing production SQL, Python, and PySpark, as well as expertise in data modeling, lakehouse and medallion architecture, ELT, orchestration, data quality testing, and the use of AI coding agents.
Sample Interview Questions
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