Top Tech Jobs & Startup Jobs in Boston, MA

Lead discovery and process improvement initiatives to standardize workflows, reduce waste, and improve provider data accuracy. Develop process maps, facilitate cross-functional sessions, track implementations, analyze data to measure impact, and create repeatable tools, charters, and leadership-ready summaries to sustain improvements.

Support general liability claims by initiating claims, preserving evidence (surveillance/dashcam), managing mailboxes, collecting documentation (leases, contracts, COIs, service records), coordinating with stores and internal teams, and ensuring accurate claim file setup and timely delivery of required materials to claims examiners.

Build and maintain large-scale data structures and ETL pipelines using Python and SQL. Design data marts and models, integrate data sources, ensure data quality, and collaborate with cross-functional teams to operationalize analytics on cloud platforms.

Lead configuration, enhancement, and support of Workday Core HCM for domestic and international employees. Gather requirements, perform fit-gap analysis, design and configure solutions, run UAT and regression testing, produce documentation, and collaborate with HR, Payroll, and SaaS vendors. Participate in Workday release processes, generate reports/analytics, and maintain system health and stakeholder communication.

The Senior Data Engineer will design and implement data pipelines, optimize performance, ensure data quality, and collaborate with teams for analytics and reporting.

Lead a 4–6 person team supporting and administering enterprise SaaS tools (Google Workspace, Slack, Atlassian, ServiceNow). Provide hands-on troubleshooting, manage ticket queues, ensure uptime and access governance, run license audits, oversee vendor relationships, and improve operational processes and documentation while coaching and developing team members.

Lead analytics product efforts from ideation through execution: define requirements and acceptance criteria, manage backlog and Agile ceremonies, partner with data science and engineering, prioritize and scope work, coordinate dependencies, influence stakeholders, and introduce AI/ML and analytics-driven solutions to improve product delivery and insights.

The role involves leading machine learning model design, AI development, data analysis, and enhancing digital workplace experiences at CVS Health.

Lead end-to-end development, deployment, and optimization of pharmacy refill and convenience programs. Manage cross-functional partners, project plans, SOPs, tools, analytics, and reporting to improve patient access, adherence, and operational outcomes. Translate data into actionable recommendations and present results to leadership and field stakeholders.

This role oversees ad technology product vision, data identity solutions, and cross-functional collaboration to enhance marketing capabilities using media data.