Top Tech Jobs & Startup Jobs in Boston, MA

The Lead Data Scientist will drive AI innovation, manage data science strategies, build AI systems, and collaborate on scalable AI solutions for healthcare delivery.

The Infrastructure Operations Lead manages cloud operations, oversees AI and GenAI implementations, and drives optimization and compliance efforts within a healthcare environment.

The Decision Intelligence Engineer will design and improve reinforcement learning policies for Humana's Next Best Action platform, focusing on decision-making algorithms, simulation environments, and training pipelines, while ensuring outputs align with clinical eligibility rules.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Lead the development of Next Best Action strategies using Adobe Journey Optimization, ensuring personalized customer engagement through data-driven decisioning and content orchestration.

Lead design and enablement of scalable, reusable customer journey blueprints using Adobe Journey Optimizer. Collaborate with marketing, data science, IT, and agile pods to embed personalization, NBA decisioning, and multivariant testing; provide templates, governance, and documentation to accelerate pod execution and ensure compliant, measurable, enterprise-scale journeys.

Manage claims operations including customer contact, investigation, approval and settlement of claims. Work with insurers, providers, members and collections to resolve pending claims, exercise judgment in prioritizing and interpreting processes, and perform advanced administrative and operational support. Remote role with required virtual training and availability for weekday shifts in EST.

Lead AI-driven reconciliation and automation to improve encounter data quality. Own model performance, identify root causes, partner with technical and business teams to enhance models, prioritize roadmap, and scale automation while communicating results to stakeholders.

Lead FP&A analyses and forecasts to inform strategic and operational decisions. Build financial models, analyze revenues, costs, cash flow, and market trends. Advise senior leadership, manage special cross-functional projects, and develop measurement methods. Use coding (SQL/SAS) for data extraction and analysis, support budgeting, reporting, and complex accounting for internal and external reporting.

Lead design and operation of study designs and measurement strategies for CAHPS & HOS interventions. Build and scale lightweight A/B testing frameworks, manage a centralized learning inventory, partner with operations and vendors, evaluate causal impact, and iterate measurement to accelerate feedback and inform stakeholder decisions.