Top Tech Jobs & Startup Jobs in Boston, MA

Leads strategy operations for the QualityOne business unit, partnering with the CEO on growth plans, executive reporting, commercial analytics, data governance, pricing, market expansion, product launches, and cross-functional accountability. The role translates business data into strategic recommendations, manages executive operating cadences, and drives high-priority initiatives across Strategy, Sales, Marketing, Finance, and Product.

Leads Veeva’s Global Data Science function, managing data scientists, AI/ML engineers, and analysts. Translates AI strategy into delivery plans, oversees advanced analytics, machine learning, generative AI, model management, infrastructure, testing, governance, and responsible AI practices. Partners with consulting, engineering, product, and business stakeholders to develop scalable, data-driven solutions for Life Sciences customers. Mentors teams of 10 or more and drives methodology, deployment, observability, and delivery excellence.

Leads Veeva’s Global Analytics data science function, managing data scientists, AI/ML engineers, and analysts. Translates AI strategy into delivery plans, oversees advanced analytics and generative AI solutions, establishes model management and testing methodologies, and ensures scalable data infrastructure, governance, security, and responsible AI practices. The role also partners with consulting, product, engineering, and business stakeholders to develop data-driven solutions for Life Sciences customers.

Supports HR operations throughout the employee lifecycle, including contracts, employee changes, offboarding, onboarding, employee support, HRIS data quality, and core HR processes. Partners with HR Business Partners on initiatives, leads process improvements, and helps develop and implement HR policies and procedures for North American teams.

Lead and grow a team selling global enterprise eQMS to large manufacturers. Own regional revenue targets, pipeline growth, forecast accuracy, complex deal coaching, stakeholder relationships across Quality/IT/Operations/Procurement, and negotiation of multi-year SaaS agreements. Hire and coach Account Partners and maintain opportunity data in Veeva CRM.

Entry-level consultants support customer engagements through communications, workshops, stakeholder interviews, process and data analysis, timeline management, and deliverable creation. They collaborate with experienced consultants to improve Life Sciences operating models, engagement models, processes, and business performance using Veeva software and data. The role includes a structured 20-month development program across Analytics, Commercial, Content, R&D, or Quality practices, with up to 20% travel.

Own the PromoMats product vision, strategy, roadmap, and delivery for claims management, MLR workflows, digital asset management, and AI capabilities. Conduct customer discovery, define requirements, track product metrics, and partner with Engineering, UX, QA, Sales, Services, and Support. Build compliant automation for regulated content workflows while enabling scalable, auditable customer solutions. Translate AI concepts into business value and support go-to-market activities.

Own the strategy, roadmap, and delivery of Veeva Vault PromoMats capabilities, including claims management, MLR workflows, digital asset management, and AI-assisted content processes. Conduct customer discovery, define requirements, track product metrics, and collaborate with Engineering, UX, QA, Sales, Services, and Support. The role requires strong product management, AI/ML, Python, marketing-process, and regulated life sciences expertise.

Supports AWS and Kubernetes analytics infrastructure, including platform monitoring, GitOps deployments, GitLab CI/CD pipelines, observability, incident response, and post-mortems. The role assists engineering teams with troubleshooting, migrates a consulting team to a new AI-native stack, and supports development of the NitroAI application. Success requires hands-on cloud and Kubernetes experience, infrastructure-as-code familiarity, strong communication, and a customer-service mindset.

Performs day-to-day quality assurance for releases involving data connectors, schema changes, customer rollouts, and platform upgrades. Improves test-suite reliability by reducing false failures, validates data-pipeline business logic, and builds test automation for new features. The role is designed for an entry-level QA professional developing expertise in automation and AI-native testing.