FBS Data and Analytics Leader - Remote

Overview

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

We are seeking a Data & Analytics Leader to play a key role in developing and guiding our data engineering and analytics enablement initiatives. This is a hybrid technical leadership role where you will serve as both a hands-on contributor and team mentor, leading a small group of data engineers and working closely with stakeholders across business, R&D, and data science.

You will be responsible for building and delivering data pipelines, business data products, and helping shape our analytics engineering framework. The ideal candidate is someone who enjoys solving complex data challenges, guiding teams, and enabling smarter business decisions through scalable data solutions.

In Short

• Lead and mentor a small team of data engineers working on pipeline development and data product delivery.
• Serve as a technical expert in building scalable data pipelines and business-facing data solutions.
• Act as a bridge between business and technical teams, gathering requirements and translating them into technical deliverables.
• Collaborate with data science and R&D teams to support model deployment and future MLOps tooling.
• Help develop and standardize our analytics engineering practices and frameworks.
• Contribute to the evaluation and selection of new tools and technologies to support data platform evolution.
• Ensure consistent, clean, and reliable data is delivered to stakeholders and downstream systems.

Requirements

• Proven experience in data engineering and analytics.
• Strong technical skills in building data pipelines.
• Experience in mentoring and leading technical teams.
• Ability to translate business requirements into technical solutions.
• Familiarity with data science practices and MLOps.
• Strong problem-solving skills and a collaborative mindset.
• Experience with analytics engineering frameworks.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a leading insurance provider.
• Professional development and training opportunities.
• Collaborative and innovative work environment.