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Lead and grow a team of account partners to sell enterprise eQMS SaaS to large manufacturers. Drive pipeline generation, accurate forecasting, complex deal strategy, contract negotiation, and long-term relationships across Quality, IT, Operations, and Procurement. Hire, coach, and manage performance while ensuring use of CRM and expansion of multi-year, multi-region agreements.

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.

Participate in Veeva’s 20-month Business Consultant Development Program supporting customer engagements across Analytics, Commercial, Content, R&D, and Quality practices. Responsibilities include customer communications, workshops, stakeholder interviews, process and data analysis, timeline management, and developing deliverables that improve operating models, processes, and business performance using Veeva software and data.

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.