Top Tech Jobs & Startup Jobs in Boston, MA

Lead Data & AI sales for insurance verticals, owning revenue targets and pipeline, building C-level relationships, driving new logo acquisition and account expansion, and positioning AI/data platform solutions across underwriting, claims, actuarial, and operations.

Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.

Serve as actuarial product SME for life and annuity implementations: review specs, translate actuarial requirements into configuration and testing guidance, support data conversion and balancing analysis, validate system behavior, and use SQL and scripting to analyze and reconcile source and target data.

Perform physical and remote premium insurance audits: interview clients, investigate and review business records, prepare written audit reports, meet with owners to review findings, transmit reports to Quality Review, correct returned audits, and maintain accurate audit and business records.

Lead credit risk analytics for consumer credit card acquisition and account management. Develop and maintain quantitative models, analyze large datasets, monitor portfolio risk, prepare risk reports, ensure regulatory compliance, and present findings to senior leadership to inform risk mitigation strategies.

Lead go‑to‑market and close enterprise deals for AI/GenAI healthcare solutions across payers, providers, PBMs, and life sciences. Own revenue targets, shape solutions with architects and product teams, run POCs and demos, craft proposals and pricing, and present ROI/value to CXO stakeholders.

Schedule appraisal appointments with policyholders, provide technical support for the ASSIST photo-capture app, update work order statuses, meet productivity and quality goals, and communicate issues to management.

Lead architecture and delivery of a cloud-native, petabyte-scale data platform: define technical roadmap, mentor engineers, build ETL/ELT pipelines, enable real-time streaming, implement Iceberg table format, optimize Snowflake/Redshift/Athena compute, and integrate observability with Splunk.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

Lead end-to-end sales and account growth for Data, Digital, and AI solutions in Insurance. Originate and close large, complex deals, build CXO relationships, orchestrate cross-functional teams, manage pipeline and financials, and scale long-term portfolio revenue.