Technical Solution Leader - Azure Data & Insurance Analytics - Remote

• Lead the design and implementation of end-to-end data architectures using Azure-native services such as ADLS, ADF, Azure Synapse Analytics, Azure SQL, and Azure Databricks.
• Define and drive data strategy, architecture standards, and best practices across programs.
• Architect scalable data pipelines aligned with Medallion Architecture (Bronze, Silver, Gold layers).
• Oversee data discovery, profiling, and mapping across multiple enterprise systems.
• Translate complex business requirements into data models, transformation logic, and scalable solution designs.
• Conduct gap analysis and define target-state data architecture.
• Establish and enforce data governance, data quality frameworks, and validation processes.
• Design and implement insurance-specific data models supporting underwriting, claims, actuarial, and financial reporting.
• Collaborate with stakeholders to identify optimal source systems and define ingestion strategies.
• Develop data ingestion, integration, and orchestration frameworks.
• Drive data reconciliation, validation, and audit mechanisms to ensure accuracy and compliance.
• Lead data migration and modernization initiatives.
• Optimize pipelines and databases for performance, scalability, and cost efficiency.
• Define operating models, governance structures, and cross-functional alignment strategies.
• Deliver key artifacts including data dictionaries, validation catalogs, architecture documentation, and onboarding frameworks.

• 10-12+ years of experience in data architecture, data engineering, or large-scale transformation programs.

• Strong experience working with high-volume insurance datasets (policy, premium, exposure, claims, financials).

• Solid understanding of actuarial processes and key insurance KPIs, including:

• Renewal Ratio

• Submission-to-Quote / Quote-to-Bind ratios

• Decline Ratio

• Gross Written Premium (GWP) & Renewal Premium

• Loss Ratios (Paid, Incurred, Developed, Projected)

• Rate Adequacy & Risk-Adjusted Rate Change

• Probability metrics (by class and exposure group)

• Rate Indications

• Expertise in:

• Data architecture and data modeling

• Source-to-target mapping

• Data definition and metadata management

• Proven ability to establish and enforce data governance and data quality frameworks.

• Hands-on experience designing insurance domain data models.

• Strong experience in data ingestion, transformation, and orchestration frameworks.

• Solid understanding of distributed data processing concepts.

• Excellent stakeholder management skills, with the ability to collaborate across business, actuarial, and engineering teams.

• Demonstrated success delivering scalable, high-performance, and cost-optimized data solutions.

Preferred Skills

• Experience with enterprise data models and data standardization initiatives.
• Prior experience in cloud-based insurance (P&C) data and analytics programs.
• Hands-on experience with PySpark and Spark-based processing frameworks.
• Strong expertise in Databricks optimization and performance tuning.
• Strong analytical and problem-solving skills with a focus on solution architecture and business impact.
• Excellent communication and leadership skills to drive cross-functional collaboration.

Introduction: Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and r…, Bank of China + New York City, NY + $18.00 per hour Introduction: Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and r…, © 2026 Careerjet All rights reserved