Summary

Prosperity is seeking an Enterprise Data Architect with deep Life and Annuity insurance expertise and advanced knowledge of Databricks and AWS to help lead the design and implementation of Prosperity’s next-generation data platform. This role will lead and manage a team of data engineers, data analyst comprising of internal resources and contractors; and play a key role in architecting scalable data pipelines, enterprise data models, and AI/ML-ready environments to support analytics, operations, actuarial modeling, and digital initiatives.

This role is both technical and strategic – you will serve as a trusted advisor to senior leadership, influencing technology strategy, platform investments, and innovation across the data value chain.

Key Responsibilities

Data Architecture & Platform Design

Define and evolve the enterprise data architecture, including canonical models for policy, claims, billing, customer, agent, and financial domains
Lead the design and development of modern, cloud-native data platforms using Databricks, Delta Lake, and AWS services (e.g., S3, Glue, Redshift, Lambda)
Architect scalable ETL/ELT pipelines for ingestion, transformation, and publishing of structured and unstructured insurance data

Domain Expertise – Life & Annuity

Bring deep understanding of Life and Annuity products, policy administration systems, actuarial processes, and financial reporting
Partner with actuaries, underwriters, and finance teams to enable modeling, valuation, reserve calculation, and experience studies
Ensure data solutions reflect regulatory compliance and accuracy for GAAP, Statutory, and IFRS reporting

Strategic Leadership

Collaborate with senior executives and business leaders to align data architecture with strategic priorities
Influence platform investment decisions and guide architectural direction to support acquisitions, digital engagement, and data monetization
Support enterprise initiatives including core system modernization, data governance, and AI/ML enablement

Governance & Standards

Define and implement data architecture standards, metadata management, and lineage practices
Contribute to data quality frameworks, MDM, data catalogs, and enterprise business glossaries
Ensure solutions comply with privacy, security, and regulatory requirements (e.g., GLBA, HIPAA, GDPR)

Collaboration & Mentorship

Partner with data engineers, BI analysts, software developers, and architects to deliver end-to-end data solutions
Mentor junior data architects and contribute to the development of an agile, data-first engineering culture

Qualifications:Required

Bachelor's degree in Computer Science, Data Engineering, Actuarial Science, or a related field
8+ years of experience in data architecture, with at least 3+ years in the Life and Annuity insurance industry
Working experience in leading, managing, mentoring teams and delivering scalable enterprise-wide data and analytics platform
Hands-on experience designing data platforms using Databricks and AWS (including Spark, Delta Lake, S3, Redshift, Glue, EMR)
Strong command of data modeling techniques (dimensional, normalized, vault), data lakes, and analytical marts
Familiarity with insurance systems such as LifePro, ALIP, OIPA, iSeries, or equivalent

Preferred

Master’s degree or certifications (e.g., AWS Certified Data Analytics, Databricks Certified Data Engineer)
Experience supporting actuarial workflows (e.g., valuation, pricing, experience studies)
Knowledge of data governance tools (e.g., Collibra, Alation), and lineage frameworks
Exposure to AI/ML, predictive modeling, and real-time analytics frameworks
Familiarity with ACORD standards/specifications is a strong plus

Qualifications

Bachelor's degree in Computer Science, Data Engineering, Actuarial Science, or a related field
8+ years of experience in data architecture, with at least 3+ years in the Life and Annuity insurance industry
Working experience in leading, managing, mentoring teams and delivering scalable enterprise-wide data and analytics platform
Hands-on experience designing data platforms using Databricks and AWS (including Spark, Delta Lake, S3, Redshift, Glue, EMR)
Familiarity with insurance systems such as LifePro, ALIP, OIPA, iSeries, or equivalent

Responsibilities

This role will lead and manage a team of data engineers, data analyst comprising of internal resources and contractors; and play a key role in architecting scalable data pipelines, enterprise data models, and AI/ML-ready environments to support analytics, operations, actuarial modeling, and digital initiatives
This role is both technical and strategic – you will serve as a trusted advisor to senior leadership, influencing technology strategy, platform investments, and innovation across the data value chain
Data Architecture & Platform Design
Define and evolve the enterprise data architecture, including canonical models for policy, claims, billing, customer, agent, and financial domains
Lead the design and development of modern, cloud-native data platforms using Databricks, Delta Lake, and AWS services (e.g., S3, Glue, Redshift, Lambda)
Architect scalable ETL/ELT pipelines for ingestion, transformation, and publishing of structured and unstructured insurance data
Bring deep understanding of Life and Annuity products, policy administration systems, actuarial processes, and financial reporting
Partner with actuaries, underwriters, and finance teams to enable modeling, valuation, reserve calculation, and experience studies
Ensure data solutions reflect regulatory compliance and accuracy for GAAP, Statutory, and IFRS reporting
Strategic Leadership
Collaborate with senior executives and business leaders to align data architecture with strategic priorities
Influence platform investment decisions and guide architectural direction to support acquisitions, digital engagement, and data monetization
Support enterprise initiatives including core system modernization, data governance, and AI/ML enablement
Governance & Standards
Define and implement data architecture standards, metadata management, and lineage practices
Contribute to data quality frameworks, MDM, data catalogs, and enterprise business glossaries
Ensure solutions comply with privacy, security, and regulatory requirements (e.g., GLBA, HIPAA, GDPR)
Partner with data engineers, BI analysts, software developers, and architects to deliver end-to-end data solutions
Mentor junior data architects and contribute to the development of an agile, data-first engineering culture
Strong command of data modeling techniques (dimensional, normalized, vault), data lakes, and analytical marts

Enterprise Data Architect, Strategy and Transformation

Job Type