Life and Annuity Application Data Architect

About This Opportunity

We are representing a confidential professional services organization seeking a Life and Annuity Application Data Architect to join their growing insurance technology practice. This senior-level role will shape data architecture for policy administration platforms serving life insurance and annuity clients across the United States.

Our client operates at the intersection of enterprise data platforms, cloud architecture, and insurance operations. You'll act as the technical authority for data solutions spanning staging environments, quality and integration frameworks, digital connectivity, reporting, analytics, and emerging AI capabilities.

Responsibilities

• Define and own the long-term data architecture vision across policy administration data platforms, staging databases, quality frameworks, digital integration solutions, and analytics capabilities
• Establish enterprise data architecture standards, principles, governance models, and architecture review practices for major insurance data initiatives
• Own the strategic roadmap for core data product capabilities, improving usability, consistency, completeness, and business value of data structures
• Define enhancements that simplify downstream data consumption for reporting, integrations, analytics, regulatory reporting, data warehouses, and enterprise data platforms
• Serve as the primary data architecture advisor for client implementations and strategic pursuits in the life insurance and annuity space
• Guide clients in mapping policy administration data structures to downstream applications, enterprise data warehouses, data lakes, CRM platforms, regulatory reporting systems, and finance systems
• Create reusable mapping frameworks, reference architectures, accelerators, and implementation patterns that improve repeatability across clients
• Lead the evolution of insurance data architecture toward modern, event-driven, CDC-based, streaming, and real-time consumption models
• Partner with product, engineering, delivery, and client teams to improve scalability, maintainability, performance, and ease of adoption
• Travel as required based on business need and client requirements

What We're Looking For

Required Experience:

• Minimum 10 years of experience in Data Architecture, Information Architecture, Data Engineering, or Enterprise Architecture
• Minimum 6 years designing enterprise data models and large-scale data platforms
• Minimum 5 years with data warehouses, reporting platforms, operational data stores, and integration architectures
• Bachelor's degree or equivalent work experience (minimum 12 years if no degree; minimum 6 years if Associate's Degree)

Professional Skills:

• Strong understanding of API-based, event-driven, and distributed system architectures
• Experience defining data governance and metadata management strategies
• Strong communication, consulting, and stakeholder management skills
• Proven ability to drive strategic initiatives across product and delivery organizations

Preferred Qualifications:

• Experience within Life Insurance and Annuities operations
• Knowledge of policy administration platforms and insurance operations
• Experience with cloud-native data platforms and modern analytics architectures
• Experience enabling AI or analytics use cases through governed, well-defined enterprise data assets
• External client-facing consulting experience across product, engineering, delivery, and senior stakeholder groups

Work Authorization: Applicants must have work authorization that does not now or in the future require visa sponsorship in the United States.

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the employer directly—all communication should flow through our talent team to ensure a coordinated and professional process.

Pay

Pay varies by location and experience. The following ranges apply when working through Get A Job.ai:

• California: $132,500 to $338,300
• Cleveland: $122,700 to $270,600
• Colorado: $132,500 to $292,200
• District of Columbia: $141,100 to $311,200
• Illinois: $122,700 to $292,200
• Maine: $112,900 to $249,000
• Maryland: $132,500 to $292,200
• Massachusetts: $132,500 to $311,200
• Minnesota: $132,500 to $292,200
• New York: $122,700 to $338,300
• New Jersey: $141,100 to $338,300
• Virginia: $122,700 to $311,200
• Washington: $141,100 to $311,200

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive environment for all candidates. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic. We welcome applicants from all backgrounds to apply.