Top AI Jobs in Boston, MA

Owns AI-enabled healthcare products from discovery through deployment, measurement, adoption, and scale. Defines product strategy, roadmaps, specifications, success metrics, business cases, and governance requirements while partnering with care teams, engineering, finance, security, legal, privacy, and compliance. Builds prototypes and AI tools, measures clinical, operational, and financial outcomes, drives responsible AI adoption, and communicates decisions and results to executive stakeholders.

Supports payer operations modernization and transformation initiatives for health services clients. Analyzes operational challenges, performance metrics, and business data; develops process improvement deliverables and operating model recommendations; coordinates project workstreams; manages timelines and issue logs; presents client recommendations; and mentors junior team members. The role applies consulting methods, digital tooling, AI collaboration, and analytical thinking to improve workflows and service delivery.

Leads machine learning scientists and engineers developing health and regulated SaMD products. Owns strategy execution, quarterly planning, hiring, team development, delivery, technical quality, validation rigor, audit readiness, risk management, and cross-functional alignment with product, regulatory, quality, clinical, software, and firmware teams. The role requires deep ML lifecycle knowledge, regulated medical device experience, AI workflow expertise, and strong executive communication.

Own product marketing for Flywire’s Travel vertical across hospitality and experiential segments. Define positioning, ideal customer profiles, buyer personas, go-to-market strategies, launch plans, enablement materials, and competitive messaging. Partner with Product, Sales, Marketing, Partnerships, and RevOps to improve pipeline quality, conversion, win rates, and revenue. Analyze customer and market feedback, influence product direction, and apply AI to improve marketing productivity and scale.

Owns and improves data science platform capabilities that help Data Scientists build, deploy, and operate AI/ML solutions. Responsibilities include representing platform users, shaping product strategy and roadmaps, analyzing usage and adoption metrics, prioritizing backlogs, defining user stories and acceptance criteria, evaluating technologies, partnering with technical teams, and supporting Agile planning and delivery.

Leads publication strategies and delivery for biopharmaceutical evidence, including abstracts, manuscripts, congress presentations, and plain-language summaries. Partners with Medical Affairs, Evidence Generation, Market Access, authors, and vendors to ensure scientific quality, compliance, timelines, budgets, and stakeholder alignment. Applies digital and AI-enabled tools to improve publication workflows, visualization, content development, and engagement while monitoring performance and mentoring colleagues.

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads Microsoft Dynamics 365 CRM and Copilot/AI functional workstreams for client engagements. Responsibilities include requirements analysis, CRM solution design, implementation management, integration planning, configuration, deployment, issue resolution, budgeting, risk tracking, user training, adoption support, and stakeholder management. The role also coaches team members, reviews deliverables, and identifies AI-enabled improvements to operational efficiency and client outcomes.

Lead client-facing Microsoft Dynamics 365 ERP and AI/Copilot solution architecture programs. Translate business requirements into functional designs, implementation plans, configurations, testing, training, and deployment activities. Direct complex workstreams, improve processes and controls, resolve risks, communicate recommendations to stakeholders, build client relationships, and coach consulting teams through ambiguity and change.

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.

Build AI agents and data acquisition systems, evaluate dataset quality, define quality KPIs, and improve data processes. Partner with product teams to deploy data into customer-facing products and acquire datasets from third parties, including coordinating vendors and contracts. The role requires organizing multiple projects, structuring analyses, communicating tradeoffs, and using data to support investment decisions and customer outcomes.

Lead the technical and product direction for a production conversational AI customer agent. Build and scale agentic systems covering orchestration, evaluation, guardrails, memory, context, reliability, and failure handling. Remain hands-on with coding, architecture, debugging, and production operations while mentoring engineers and partnering with product, design, data science, and go-to-market teams. The role is based in-office in Boston and may require up to 10% travel.

Lead the technical and product direction for a production conversational AI customer agent. Build and scale agentic systems involving orchestration, evaluation, guardrails, memory, context, reliability, and failure handling. Write and review code, make architecture decisions, collaborate cross-functionally, mentor engineers, evaluate emerging AI technologies, and support systems through launch and live customer usage.

Leads financial statement audits and evaluates governance, risk management, regulatory compliance, and internal controls for digital asset and financial services clients. Directs complex audit engagements, applies advanced auditing and technical accounting expertise, identifies material misstatements, and issues auditor reports. The role also involves client relationship management, coaching and developing diverse teams, communicating findings, and maintaining professional, independence, and ethical standards.

Leads cybersecurity strategy and transformation engagements for clients, focusing on regulatory compliance, risk management, internal controls, cyber diligence, deal integration, and AI security governance. Directs multiple projects, develops business, maintains executive client relationships, mentors teams, and drives cybersecurity innovation across frameworks including NIST CSF, ISO 27001, DORA, NYDFS, and SEC requirements.

Research enterprise prospects, identify decision-makers, craft targeted messaging, and execute outbound prospecting in partnership with Enterprise Account Executives. The role involves developing prospecting expertise, using AI to improve efficiency and commercial insight, and meeting performance and skill-development goals. It offers mentorship and progression opportunities into sales, account executive, or other departments.

Own enterprise-scale revenue enablement programs across Sales and Customer Success, including strategy, onboarding, product readiness, coaching, methodology adoption, manager reinforcement, and measurement. Build Customer Success enablement from the ground up, diagnose capability gaps, align cross-functional stakeholders, and connect interventions to business outcomes. Develop scalable content, governance, technology, and AI-enabled workflows while advising senior GTM leaders and supporting global readiness initiatives.

Leads Mastercard’s global customer engagement strategy for Security Solutions. Builds executive customer councils, advisory boards, forums, roundtables, and innovation events; develops trusted relationships with senior security, risk, fraud, and product executives; translates customer insights into product, commercialization, and growth priorities; and represents Mastercard through thought leadership and industry engagement.

Leads clinical excellence and innovation across global Inflammation and Immunology dermatology development programs. Oversees clinical integrity, scientific quality, patient safety, study execution, portfolio planning, and clinical documentation. Manages and develops clinical scientists while driving enterprise change, operational efficiency, and cross-functional alignment. Leads adoption of AI, machine learning, automation, digital tools, and advanced analytics across clinical trial design, recruitment, data review, safety prediction, and workflow optimization in compliant GxP environments.

Leads global procurement strategy for laboratory supplies and services, managing category managers and enterprise spend. Develops sourcing, supplier, contracting, and commercial strategies while delivering value through cost optimization, innovation, sustainability, quality, risk management, and supply continuity. Partners with senior stakeholders across business, finance, legal, operations, and procurement; governs supplier performance, KPIs, buying channels, and contract frameworks. Builds high-performing teams, develops talent, and drives digital, automation, and data-enabled procurement improvements.

Leads global R&D procurement category strategy for clinical trial management, optimizing enterprise spend, supplier performance, contracts, risk, sustainability, quality, and innovation. Partners with senior stakeholders, manages strategic supplier relationships, governs commercial frameworks and category portfolios, and leads a team of category managers. The role requires driving measurable value, supply continuity, cross-functional initiatives, procurement transformation, and high-performing team development within a complex pharmaceutical organization.

Support revenue operations by sourcing and enriching account and contact data, maintaining data quality, developing sales forecasting and pipeline models, identifying operational inefficiencies, and contributing to process improvements. Collaborate with Sales, Business Development, Marketing, Partnerships, Enablement, and Finance teams to optimize go-to-market execution and platform capabilities.

Leads Liberty Mutual’s Global Legal & Compliance Data Office and owns its data and AI strategy, governance, quality, architecture, enablement, and investment roadmap. The role integrates product management, data science, knowledge management, and information services while ensuring regulatory compliance, data readiness, and alignment with enterprise strategy. It drives data maturity, change leadership, cross-functional collaboration, and adoption of data-driven practices across legal and compliance teams.

Advise clients on privacy, data protection, and responsible AI requirements. Evaluate AI systems for fairness, transparency, safety, privacy, accountability, and third-party risk. Develop governance operating models, policies, risk-tiering approaches, controls, impact assessments, and client deliverables. Interpret regulatory changes, support breach investigations, collaborate with legal, compliance, cybersecurity, data, and technology teams, and mentor junior staff. Apply technical literacy in AI/ML, GenAI, software development, technical architecture, and Python.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.