Top Hybrid Jobs in Boston, MA

Leads a Commercial Casualty Excess Claims team, ensuring resources, technical expertise, service quality, claims strategy, reserving accuracy, and settlement decisions meet company standards. Partners with underwriting, legal, reinsurance, brokers, insureds, and counsel to manage complex claims. Develops staff, addresses performance issues, drives continuous improvement, prepares operational and performance reports, and monitors legislative, regulatory, and litigation developments.

Leads Liberty Mutual’s People, Purpose & Brand technology strategy, transformation, portfolio, and approximately 125-person organization. Oversees modernization of HR platforms, employee experience systems, data, AI, integrations, security, architecture, vendors, and resilient operations. Owns approximately $50 million in annual investment, partners with executives on priorities and tradeoffs, drives engineering excellence and product-centric delivery, and develops an inclusive, high-performing technology organization through sustained transformation.

Develop and maintain applications, APIs, data pipelines, and integrations supporting private investments and alternative asset management. Responsibilities include end-to-end coding, testing, debugging, deployment, documentation, system troubleshooting, production support, and collaboration on modernization and data integration initiatives using Agile practices.

Global Corporate Controller overseeing worldwide accounting, technical accounting, financial reporting, consolidation, audits, internal controls, tax, financial systems, and close processes. The role partners with FP&A and senior leadership, supports M&A, leads audit committee materials, drives automation and AI adoption, mitigates organizational risk, and develops a global finance team. Candidates must be current corporate or global controllers with extensive public accounting, SEC reporting, technical accounting, internal controls, and global team leadership experience.

Supports Legal, Ethics, and Compliance technology and AI initiatives by gathering requirements, mapping processes, coordinating delivery, managing risks and dependencies, supporting legal technology platforms, and facilitating testing, implementation, adoption, and continuous improvement. The role connects business stakeholders, technology teams, vendors, and project partners while tracking performance and communicating progress through dashboards, reports, and recommendations.

Drive product development for Mastercard’s commerce media and AdTech solutions. Responsibilities include defining product concepts, requirements, roadmaps, MVPs, workflows, and technical features; partnering with Engineering, Data Science, CX&D, TPMs, and business stakeholders; supporting go-to-market strategy and business cases; conducting market research; managing global workstreams; and mentoring junior product managers.

Manage the Mastercard Economics Institute’s operational cadence, including calendars, meetings, research delivery protocols, finance and budget processes, stakeholder coordination, vendor relationships, and operating-procedure improvements. The role supports meeting content, tracks organizational requirements, identifies operational blockers, and routes issues for resolution across global teams.

Lead product strategy, roadmap, and commercialization for mid-market B2B payments growth products. Identify whitespace, translate market/customer insights into new offerings, drive 0->1 and 1->N product development, partner with sales and engineering to scale adoption, define performance metrics, and engage customers to validate product-market fit.

Design, build, and support scalable cloud data platforms, pipelines, and applications using Python, Spark, SQL, AWS, Databricks, and Snowflake. Develop distributed, real-time, and batch data solutions; apply data modeling, security, encryption, and access controls; enforce reusable engineering patterns; and collaborate with product, software, analytics, and data science teams. The role also involves mentoring, communicating technical concepts to stakeholders, supporting operational resilience, and independently delivering cloud-first data solutions.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI engineering standards, lead technical reviews, and mentor senior engineering leaders while applying emerging research responsibly in production.

Leads large-scale technology consulting projects using cloud platforms and enterprise data solutions. Oversees project delivery, technology architecture, scalability, performance, cost optimization, client engagement, and global team collaboration. Coaches project members, develops business cases, manages risks, and supports innovation initiatives. Requires expertise in cloud platforms, data management, analytics, automation, application development, agile delivery, and client-facing consulting.

Supports strategy and transformation consulting engagements for biotech and life sciences research organizations. Responsibilities include AI adoption, change strategy, process redesign, design thinking, lean improvement, structured analysis, workshop facilitation, operating-model development, and client-ready recommendations. The role translates scientific and technical challenges into business solutions, value drivers, impact metrics, and measurable outcomes while collaborating with scientific, business, and technology stakeholders.

Develop strategic frameworks and hypotheses for ambiguous business questions, synthesize qualitative and quantitative insights, and create executive- and Board-ready recommendations. Support business unit and product portfolio strategy by evaluating markets, consumer needs, competition, economics, investment choices, and growth opportunities. Collaborate cross-functionally with Product Management, Finance, Marketing, Engineering, Design, Sales, and Supply Chain to inform long-term business decisions.

Analyze complex client problems using statistical modeling, exploratory analysis, data visualization, and machine learning. Develop AI and GenAI solutions, data workflows, pipelines, models, and quality checks that generate actionable business insights. Communate recommendations through documentation and visual storytelling, manage workstreams, collaborate with clients, and mentor junior team members.

Leads enterprise Zero Trust strategy across identity, device trust, access, DSPM, and content management security. Owns architecture, standards, governance, operating models, risk management, and cross-functional execution across Security, IT, Product, and Engineering. Builds or leads teams, influences technical leadership, supports audits and customer security reviews, and drives least-privilege access, continuous verification, device posture enforcement, and data-security controls.

Leads cross-functional technical programs supporting customer-facing Technical Solutions teams. Responsibilities include coordinating stakeholders, dependencies, timelines, risks, and requirements; maintaining project documentation and status visibility; using data to track milestones and guide decisions; applying AI tools to improve workflows; communicating with technical and non-technical stakeholders; and driving process improvements across moderately complex programs.