Top Tech Jobs & Startup Jobs

Reviews, investigates, and resolves consumer and regulatory complaints for life and annuity insurance clients. The role drafts complaint responses, coordinates with business stakeholders, reviews complaint-system data, maintains records, supports process improvement and departmental projects, and identifies root causes and resolution opportunities. Success requires strong communication, research, customer service, organization, attention to detail, and knowledge of life and annuity products and systems.

Analyzes End User Services data to identify trends, risks, recurring issues, and improvement opportunities. Creates dashboards, visualizations, scorecards, and operational reports for technical and executive audiences. Monitors Microsoft and other vendor roadmaps, evaluates business and technology impacts, and recommends preparation or mitigation plans. Partners with service, infrastructure, security, and business teams on service improvements, pilots, documentation, and post-implementation reviews.

Develop and optimize robust data pipelines, ingestion and transformation jobs, and incremental datasets on modern data platforms. Design scalable, governed data solutions, automate application and data flows, apply DevOps principles, and improve pipeline performance and maintainability. The role includes operational support, documentation, troubleshooting, cross-functional collaboration with data and analytics teams, and mentoring junior professionals.

Designs and delivers scalable data solutions, including ingestion and transformation pipelines, incremental datasets, automation, and DevOps practices. Evaluates architectures, improves pipeline performance and maintainability, and supports governed, compliant data flows on modern platforms. Collaborates with data engineering, governance, science, and analytics teams while providing operational support, documentation, troubleshooting, and mentorship to junior professionals.

Build and deploy operational data pipelines and fully documented datasets, integrating data across business systems. Partner with platform engineering, governance, data science, analytics, and business teams to design reliable, scalable, governed data solutions. Lead pipeline development, ensure data quality and operational reliability, and mentor early-career data engineers. The role requires substantial Python and SQL programming experience, knowledge of ETL/ELT, APIs, cloud technologies, data lakes, and insurance or reinsurance domain expertise is preferred.

Builds and deploys operational data pipelines and fully documented datasets, integrating data sources and ensuring reliability, scalability, governance, and quality. Partners with platform engineering, governance, data science, analytics, and business teams to design data solutions. The role also mentors early-career data engineers and requires strong Python, SQL, ETL/ELT, API, cloud, data lake, and data operations expertise.

Develops and optimizes data pipelines, ingestion and transformation jobs, incremental datasets, and automated data flows on modern data platforms. Designs scalable, governed data solutions, evaluates architectures, provides operational support and documentation, and applies DevOps principles. Collaborates with data platform, governance, science, and analytics teams while troubleshooting issues and mentoring junior professionals.

Build and deploy scalable, reliable data pipelines and fully documented datasets. Partner with data platform, governance, science, analytics, visualization, and business teams to design data engineering solutions. Ensure pipeline governance, data quality, and operational reliability while mentoring early-career engineers. The role requires expertise in ETL/ELT, APIs, cloud technologies, data lakes, Python, SQL, and insurance or reinsurance data is advantageous.

Leads enterprise investment data and reporting process improvement, control design, root-cause analysis, KPI development, operating model design, and system implementation. Partners with Investment Operations, Investment Accounting, technology teams, auditors, regulators, and executive management to improve data quality, reduce recurring issues, strengthen controls, and automate manual work. Oversees related projects, allocates resources, maintains process standards, and reports progress and risks.

Supports daily treasury activities including cash and liquidity management, payment processing, reconciliations, bank account administration, trust account monitoring, collateral management, cash-flow forecasting, and short-term investment reporting. The role also assists with risk controls, regulatory compliance, process improvements, and onboarding new reinsurance structures while collaborating with Finance and Investments teams.