Top Tech Jobs & Startup Jobs in Boston, MA

Supports property and casualty actuarial pricing and ratemaking through loss, premium, and expense analysis; statistical modeling; competitive analysis; rate indications; scenario testing; pricing tool development; and regulatory rate filing support. The role prepares analyses for pricing decisions, monitors portfolio trends, supports new product pricing, and assists with stakeholder discussions. It requires at least two years of actuarial experience, three passed Casualty Actuarial Society exams, and proficiency in Excel plus a programming or query language.

Designs, develops, tests, documents, and supports moderate-to-complex software solutions. Analyzes requirements, creates system designs, manages application dependencies, leads development walkthroughs, and ensures software meets programming, performance, quality, and security standards. The role focuses on full-stack engineering, cloud microservices, application integrations, databases, observability, and technical guidance for specific applications.

Leads an analytics team that integrates partner and business data to identify growth, retention, profitability, and performance drivers. Develops forecasts, business cases, measurement frameworks, visualizations, and executive recommendations. Partners with senior stakeholders across insurance, finance, pricing, product, digital, operations, and technology. Drives AI and automation adoption while mentoring analysts and leading complex cross-functional initiatives.

Leads technology portfolio management processes, demand planning, initiative and backlog planning, stage-gate governance, and SDLC alignment. Partners with senior leaders to translate strategy into integrated plans, manage dependencies and risks, facilitate governance, and support prioritization decisions. Drives process adoption through communications, training, metrics, and continuous improvement across matrixed technology organizations.

Leads an Applied AI team delivering production machine learning and advanced analytics solutions across business workflows. Owns portfolio prioritization, technical architecture, responsible AI evaluation, operational readiness, value realization, reusable solution patterns, and external partnerships. Provides hands-on support through prototyping, exploratory analysis, code review, and design guidance while developing data science talent and influencing business, technology, governance, risk, security, and executive stakeholders.

Conduct media mix modeling, experimentation, incrementality analysis, forecasting, and marketing performance reporting. Build scalable analytical tools, automated workflows, Tableau dashboards, and statistical resources using SQL, Python, and BI platforms. Partner with Marketing, Data Science, Data Engineering, Finance, and Sales teams to improve measurement capabilities, operationalize data structures, and translate complex findings into actionable business recommendations. Maintain analytical standards, documentation, and quality controls.

Leads complex litigation strategy, legal risk management, resolution decisions, and outside counsel relationships for high-exposure property and casualty insurance matters. Oversees staff and external attorneys, ensures quality and ethical representation, exercises settlement authority, advises senior leadership, and develops high-performing legal teams. Requires civil trial experience, expertise in tort, contract, insurance law and regulation, bar admission, and a Juris Doctor.

Leads digital analytics strategy across web, media, CRM, and marketing channels. Develops dashboards, reports, KPIs, forecasts, and actionable insights to improve digital performance, customer engagement, and business growth. Ensures data accuracy, communicates findings to stakeholders, identifies trends and opportunities, and supports analytics training. Requires collaboration across teams and familiarity with digital marketing, e-commerce or lead generation, and analytics platforms.

Provides strategic direction for enterprise data engineering environments, platforms, architecture, and technology roadmaps. Leads data technology portfolios, solution design, standards, and implementation while aligning systems with business strategy. Oversees data engineering teams, researches emerging technologies, manages technical projects, and partners with IT and business stakeholders. Establishes a collaborative, performance-driven team culture and supports employee development.

Leads complex financial modeling, cost-benefit evaluations, forecasting, data mining, and statistical analysis for Claims and Legal initiatives. Validates financial benefits, assesses investment returns, develops management reports and performance metrics, and presents recommendations to divisional and executive leadership. Serves as the Finance subject-matter expert on cross-functional teams, with emphasis on insurance accounting, operational analysis, and decision support.