Jobs at Veeva

Performs functional and automated testing for a SaaS life sciences platform. Responsibilities include creating test plans and cases, automating regression tests, triaging results, verifying releases, reporting defects, participating in Agile design reviews, advising on quality improvements, and providing technical guidance to junior teammates. The role also contributes to quality processes, code coverage practices, proof-of-concepts, and product expertise.

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.

Leads services engagement and implementation planning for Veeva eCOA solutions. Partners with sales, strategy, services, customers, and vendors to scope projects, develop resource models, negotiate Statements of Work, establish delivery expectations, and scale eCOA service offerings. Requires clinical trial data expertise, strong consulting and negotiation skills, executive communication, and the ability to manage complex timelines and partner relationships. Travel is expected less than 25% of the time.

Build and scale full-stack SaaS applications using Java and React. Participate throughout the software development lifecycle, collaborate with product and engineering teams, ensure comprehensive testing, troubleshoot products, provide technical support, advise product leadership, and mentor junior engineers.

Manage post-implementation relationships with 4–6 large global life sciences customers using Veeva Commercial Content and Medical Vault applications. Act as a trusted advisor to business decision makers and application owners, provide strategic guidance, optimize application usage, develop customer roadmaps, triage escalations, and coordinate with internal teams and customer networks to support business goals.

Manage post-implementation relationships with 4–6 large global customers using Veeva Quality applications. Act as a trusted advisor to decision makers and application owners, provide strategic guidance, optimize application usage, develop customer roadmaps, triage escalations, and coordinate with internal teams. The role requires substantial life sciences Quality experience, customer-facing consulting expertise, and travel up to 25%.

Sell Veeva Data Cloud solutions to large pharmaceutical and life sciences companies. Responsibilities include developing account strategies, managing the full sales cycle, building customer relationships, maintaining CRM pipeline visibility, partnering with Customer Success on deployments and renewals, expanding accounts, and addressing customer business challenges through data-driven solutions.

Manage strategic CRM customers as a consultative advisor, helping them optimize Veeva investments, adopt product releases, improve governance, and drive organizational change. Responsibilities include stakeholder engagement, CRM capability demonstrations, customer data analysis, cross-functional collaboration, product feedback, and ongoing success ownership. Requires substantial Veeva CRM or CRM consulting experience, strong communication skills, and up to 15% travel.

Define, design, prioritize, and deliver enterprise software features for regulatory professionals in the life sciences industry. Translate customer and business needs into product specifications, collaborate with engineering and QA through implementation, and engage customers and internal stakeholders. Serve as a product subject matter expert while working within an agile methodology.

Own QA for an AI-driven life sciences platform by implementing QA processes, developing automated test suites, supporting releases, and maintaining test environments and integrations. The role requires extensive automation, programming, Unix/Linux debugging, SQL validation, API testing, and collaboration with engineering and production operations. Preferred experience includes AI testing, observability, artifact management, and code validation tools.

Develop and execute B2B content marketing strategies for an enterprise life sciences software platform. Create thought leadership, product, customer, and multi-format content; optimize assets for SEO and GEO; collaborate across marketing, product, sales, and subject matter teams; measure performance; and improve content processes, messaging, and campaign effectiveness.