Senior Data Analytics & Architecture Lead
Fortune 500 Life Insurance Company
We are seeking a Senior Data Analytics & Architecture professional to support enterprise data strategy within a leading life insurance organization. This individual will play a key role in designing scalable data architecture, enhancing analytics capabilities, and partnering closely with pricing actuaries to support model development, assumption setting, and business insights.
Key Responsibilities:
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Design and optimize enterprise data architecture to support actuarial, pricing, and finance functions
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Build and maintain scalable data pipelines to support pricing models, experience studies, and assumption analysis
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Partner with pricing actuaries to deliver high-quality data for modeling, profitability analysis, and product development
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Translate complex data sets into actionable insights for underwriting, pricing, and risk management decisions
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Improve data governance, quality, and accessibility across actuarial and finance systems
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Support modernisation initiatives, including cloud-based data platforms and advanced analytic tools
Qualifications:
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7-10+ years of experience in data analytic, data engineering, or data architecture
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Experience supporting actuarial teams, preferably within life insurance (pricing exposure a strong plus)
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Strong technical skills in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI)
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Familiarity with actuarial modeling workflows and large-scale data environments
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Experience with cloud platforms (e.g., AWS, Azure) preferred
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Strong communication skills with the ability to bridge technical and actuarial stakeholders
