Top Senior Level Jobs in Boston, MA

Build and operate scalable backend platforms, APIs, microservices, and event-driven integrations using Java, Spring Boot, and AWS. Responsibilities include technical design, automated testing, production troubleshooting, reliability improvements, documentation, code reviews, feature ownership, and on-call support. The role collaborates with product and engineering teams to deliver highly available services and business-critical workflows.

Manages contract and subscription renewals for North American partners and customers. Responsibilities include negotiating terms, processing quotes and orders, retaining and expanding accounts, analyzing usage and satisfaction data, forecasting renewal metrics, maintaining documentation, educating customers, and collaborating with sales, marketing, and support teams. The role requires at least five years of relevant experience and is based in the Boston office at least three days per week.

Leads U.S. pharmaceutical logistics compliance, sustainability, and strategic network initiatives. Manages logistics service providers, supplier performance, cold-chain distribution, GMP/GDP compliance, quality investigations, CAPA, audits, regulatory submissions, and operating procedures. Partners across manufacturing, procurement, finance, quality, and supply chain teams to improve service levels, costs, carbon emissions, and shipping efficiency. Mentors squad members and supports product launches and portfolio initiatives.

Provides high-level administrative and operational support to the Head of Global Biologics and leadership team. Responsibilities include managing complex calendars and travel arrangements, coordinating meetings and events, preparing communications and reports, processing expenses, supporting onboarding and special projects, improving administrative processes, and handling confidential information. The role also serves as a liaison across global teams and mentors administrative colleagues.

Owns global Windows endpoint management for approximately 50,000 devices, including Intune and SCCM architecture, provisioning, patching, security hardening, compliance, application packaging, and lifecycle management. Leads cloud modernization, PowerShell automation, CIS and Defender for Endpoint initiatives, reporting, governance, and incident response. Coordinates offshore contractors, establishes operational standards, mentors technical staff, and partners with security and business stakeholders to maintain a resilient, compliant endpoint environment.

Owns the vision, roadmap, governance, and lifecycle management of AI/ML platform capabilities. Translates stakeholder needs into platform requirements, prioritizes integrations and improvements, partners with engineering teams, drives adoption, and monitors reliability, performance, security, cost, and technical debt. The role also supports agile delivery, communicates releases and incidents, reports progress to leadership, and assists with critical IT escalations.

Leads the end-to-end implementation and governance of collectively bargained agreements. Translates contract terms into business processes, system requirements, controls, and implementation plans while coordinating Labor Relations, HR, Payroll, Finance, Technology, Compliance, Legal, and vendors. Oversees risk assessment, audit readiness, vendor governance, system configuration, testing, reporting, issue resolution, and continuous process improvement across supported companies.

Develops and oversees enterprise AI governance policies, standards, controls, monitoring, and risk-management processes. Advises business and technology leaders on responsible AI, regulatory requirements, controls, and mitigation strategies. Coordinates with cybersecurity, privacy, legal, compliance, architecture, and engineering teams; evaluates control effectiveness; drives corrective actions; supports audits, executive reporting, and governance committees; and promotes adoption through stakeholder education. Requires 8+ years in data analysis, reporting, or related fields, with SQL, analytics, data modeling, and visualization experience.

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Design, build, deploy, scale, and maintain machine learning models and platforms in production. Responsibilities include developing ML infrastructure, data pipelines, cloud architectures, distributed systems, model monitoring, retraining, testing, CI/CD, and responsible AI practices. The role collaborates with Product, Data Science, and Agile engineering teams while applying advanced modeling techniques and managing large-scale containerized ML systems.

Leads enterprise AI engineering strategy and multi-team execution. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Makes technology decisions, scales reusable AI infrastructure and responsible AI practices, partners with research and risk teams, and develops engineering talent. Requires strong hands-on expertise in AI systems, cloud deployment, model optimization, and organizational leadership.

Conduct applied AI research and build foundation models from design through production deployment. Partner with data scientists, engineers, and product managers to develop scalable models, optimize training and inference, evaluate emerging methods, and translate research into customer-facing banking products. Lead research initiatives, define research agendas, mentor colleagues, and deliver production-scale solutions involving language, graph, image, or sequential data.

Leads Navan’s private equity partnerships program, building sponsor relationships, creating scalable engagement and commercial models, generating portfolio-company pipeline, and partnering with Sales to drive revenue. Establishes operating processes, metrics, campaigns, and reporting while engaging PE firms across the investment lifecycle. Initially owns key relationships and active deals, then builds and leads a partnerships team. Requires a strong PE network, commercial leadership, enterprise sales experience, and understanding of value creation, acquisitions, and carve-outs.

Leads B2B SaaS email marketing strategy across prospect nurture, demand generation, customer adoption, cross-sell, and upsell. Owns multi-quarter roadmaps, campaign prioritization, creative direction, email building and QA in Knak, database health, segmentation, testing, deliverability, and performance analysis. Partners cross-functionally with Demand Generation, Sales, Marketing Operations, Lifecycle, and Customer Marketing to drive engagement, pipeline, opportunities, and revenue.

Develop and validate clinical heuristics and algorithms using real-world healthcare data. Build Python profiling pipelines, automated data-quality checks, and longitudinal patient cohorts. Analyze complex clinical databases and ETL pipelines, evaluate AI, NLP, and heuristic outputs, and collaborate with clinical, labeling, engineering, and data science teams. Maintain documentation, configuration, metrics, and validation standards for transparent, high-quality clinical analytics.

Leads financial reporting, budgeting, forecasting, and expense analysis for North American Operations and Claims. Partners with senior leaders and business stakeholders to explain financial trends, improve expense discipline, develop financial plans, and enhance reporting transparency. Produces complex management and ad hoc reports, identifies process improvements, and supports consistent delivery of expense information across teams.

Leads Global Surety’s technology product portfolio by translating business objectives into product strategies, prioritizing backlogs, allocating investment, coordinating product teams, and overseeing Agile delivery. Represents product vision to senior stakeholders, manages Product Owners and Agile teams, resolves portfolio trade-offs, approves release plans, and drives Agile transformation, customer outcomes, and business value across the organization.

Develops claim-level reserve modeling and predictive analytics for personal and commercial insurance lines. Responsibilities include mining large datasets, applying statistical and machine learning techniques, testing hypotheses, building predictive models, creating accessible visualizations, and translating findings into business decisions. The role also advances analytical methodologies, guides complex projects, advises stakeholders, customizes solutions, and leads cross-functional data science initiatives.

Leads the Workday platform and service delivery function, managing consulting partners, budgets, capacity, priorities, technical requirements, configurations, and issue resolution across HCM, Recruiting, Payroll, Time and Attendance, and Scheduler. Partners with People teams and stakeholders, leads Workday training and access programs, tracks performance metrics, and supports compliance, audit evidence, and Sarbanes-Oxley controls.

Lead Workday as the enterprise HR platform: own strategy, governance, security, and continuous improvement. Manage and evolve a Workday team, prioritize intake and roadmap, implement automation and AI-driven self-service, partner cross-functionally, and step into complex configuration when needed to deliver scalable, compliant solutions.