Top Hybrid Jobs in Boston, MA

Leads health economics and outcomes research and real-world evidence projects for pharmaceutical, biotech, academic, and other partners. Designs and analyzes pharmacoepidemiologic studies, treatment patterns, healthcare utilization, causal inference, and survival analyses. Builds reusable analytical infrastructure, collaborates with scientists, engineers, and product teams, interprets results for stakeholders, supports publications and regulatory work, and ensures compliance with data governance and applicable regulations.

Leads global corporate legal matters, including M&A, financing, capital markets, governance, SEC filings, securities compliance, and subsidiary management. Manages legal team members, outside counsel, budgets, and cross-functional transactions. Advises executives and Board stakeholders, provides global training, monitors regulatory developments, and implements AI-enabled legal processes. The role requires substantial public-company, transactional, securities, governance, and people-management experience.

Manage technical operations supporting critical applications, infrastructure, internal and external helpdesks, and major IT initiatives. Partner with DevOps and SecOps on cloud infrastructure, security, monitoring, logging, incident management, SLA compliance, and alerting. Establish operational metrics, staffing coverage, escalation processes, and reporting while leading and mentoring a high-performing team in a growing SaaS environment.

Leads and scales Hi Marley’s analytics function, managing analysts and hiring as the team grows. Establishes trusted company metrics, self-service analytics, standards, and an analytics roadmap. Partners with Product, Customer Success, Growth, Marketing, Finance, and Data Engineering on product, customer, revenue, financial, billing, marketing, experimentation, and utilization analysis. Develops people, communicates insights to executives, and drives data-informed decisions across the organization.

Manage a high-volume portfolio of Datadog customers by building strategic relationships, driving product adoption, identifying renewal risks and growth opportunities, supporting retention, and coordinating resolutions for technical, billing, and enablement needs. The role includes account management, contract negotiation, upselling and cross-selling, customer advising, usage monitoring, and collaboration with support, product, finance, and legal teams.

Leads the design and implementation of AI-powered Finance workflows, agents, copilots, and integrations across ERP, billing, procurement, and related systems. Establishes AI architecture, governance, security, testing, observability, and responsible-use practices. Partners with Finance, IT, Security, Legal, and Audit to identify automation opportunities, define success metrics, build reusable frameworks, and enable nontechnical teams. Requires technical leadership, enterprise financial systems integration, LLM experience, and the ability to build scalable 0-to-1 solutions.

Leads data science for medical and workers’ compensation claims, identifying AI/ML opportunities and delivering machine learning, GenAI, LLM, RAG, and agentic solutions. Partners with Claims, Technology, Product, Engineering, and UX teams to establish roadmaps, build intelligent systems, measure business impact and quality, implement MLOps practices, and mentor stakeholders. The role begins as a senior individual contributor and is expected to build a team.

Leads data science strategy and execution for medical and workers’ compensation claims. Builds machine learning, generative AI, LLM, RAG, and agentic solutions; establishes roadmaps, evaluation metrics, monitoring, and operational practices; partners with claims, engineering, product, architecture, UX, and technology teams; and provides technical mentorship. Initially an individual contributor, the role is expected to build a team over time.

Leads a new data science team developing AI and agentic-system evaluations for insurance pricing applications. Sets strategy, defines evaluation metrics and experiments, measures AI value and risk, partners with technical and pricing teams to deploy high-value solutions, and assesses third-party AI vendors. Requires strong people leadership, insurance pricing-model expertise, statistical and experimental-design skills, and hands-on experience with LLMs, RAG, and AI application development.

Manage the global Meetings, Conferences, and Events procurement category. Develop category plans, lead complex sourcing and negotiations, manage supplier ecosystems and contracts, mitigate risk, and deliver value across cost, quality, sustainability, compliance, resilience, and stakeholder experience. Partner with global stakeholders and lead cross-functional initiatives in a regulated environment while using analytics, automation, and AI-enabled approaches to improve procurement decisions and execution.

Manages the global consulting procurement category, developing category plans, shaping business requirements, leading strategic sourcing and negotiations, managing supplier performance, and implementing commercial frameworks. Delivers value through cost optimization, risk mitigation, sustainability, compliance, and stakeholder outcomes. Partners globally across functions and regions, analyzes spend and market data, manages contracts and supplier ecosystems, and leads cross-functional initiatives in a regulated environment.

Lead finance function optimization and transformation projects: analyze operating models, design and implement process and role changes, deliver financial solutions, coach teams, drive change management, validate outcomes with clients, and communicate strategic financial recommendations.

Conduct fundamental research on on-device LLM efficiency and optimization. Develop proposals, survey academic literature, formulate hypotheses, and run experiments involving quantization, fine-tuning, compression, decoding, and model architectures. Collaborate with internal teams and academic labs, transition prototypes into production, publish at leading AI conferences, and independently drive research initiatives from ideation through implementation.