Jobs at ZS - icims TEST

Client-facing Solutions Architect designing and delivering scalable cloud, data, and AI-enabled solutions. Lead end-to-end projects, advise clients on technology strategy, ensure scalable/resilient architectures, mentor teams, drive delivery using agile methods, and collaborate globally to translate business needs into practical data solutions.

Drive new business for ZAIDYN Study Planning SaaS within mid-size and emerging pharma/biotech. Manage complex B2B SaaS sales cycles, engage senior clinical and IT stakeholders, lead demos and negotiations, partner with internal teams to present value, maintain CRM pipeline, and stay current on clinical planning trends.

Partner with client commercial teams to design and execute product launch and commercialization strategies, manage cross-functional initiatives, synthesize insights into recommendations, create executive presentations, lead project management, and mentor junior staff to drive launch readiness and post-launch optimization.

Lead product marketing for ZAIDYN Medical and Clinical: define positioning, GTM strategy, launches, and sales enablement for medical affairs, HEOR, evidence generation, and clinical operations. Manage and develop a Senior Associate, create enablement assets, evangelize product through demos and content, and drive market/customer insights and adoption.

Lead positioning, launches, and enablement for ZAIDYN Personalization across Customer Engagement and Content. Define ICP, messaging, competitive strategy, GTM plans, sales enablement, demos, and market intelligence. Align cross-functional teams, drive launch readiness, and build advocacy programs to differentiate ZAIDYN in life sciences personalization.

Serve as an analytics consultant for emerging pharma clients: gather business requirements, analyze data using advanced modeling and tools, communicate results to clients, develop domain expertise, collaborate with teams, and be available and travel for client engagements.

Deliver strategy, insights, and analytics for pharma clients by defining project scope, conducting qualitative and quantitative analyses, synthesizing findings, advising clients, mentoring juniors, and supporting business development and firm initiatives.

Lead architecture, design, and delivery of large-scale, distributed GenAI-enabled systems. Manage engineering teams building APIs, services, data and AI layers; set standards, run design and code reviews, ensure production readiness, observability, scalability, and CI/CD. Partner with Product, AI/ML, DevOps, and Data teams; mentor engineers and drive platform evolution, reuse, and technical excellence.

Lead end-to-end cloud and data technology projects for clients, ensuring scalable, resilient solutions; manage delivery, budgets, and teams; mentor staff; collaborate globally to develop business cases, drive innovation, and reduce project risk.

Lead and scale ZAIDYN's AI Engineering organization, own agentic platform architecture and integrations (AWS Bedrock AgentCore), enforce production-grade AI standards (eval frameworks, LLMOps, observability), hire and manage engineering teams, drive multi-agent/RAG systems to GA, and represent the platform externally to clients and executives.

Lead workstreams delivering clinical biometrics and data transformation for Phase I-IV trials. Analyze clinical data flows, design data transformation pipelines, enable submission-ready datasets (CDISC/SDTM/ADaM), and implement AI/automation to improve CDM, statistical programming, and biostatistics processes while partnering with cross-functional teams and clients.

Deliver CMC-focused analytics projects for pharmaceutical clients: serve as an SME in drug substance/product manufacturing and tech transfer, analyze data from ELN/LIMS/ERP/PLM, generate insights, communicate results to clients, manage teams/projects, and contribute to practice development and client-facing engagements.

Lead data and technology advisory and delivery for drug discovery clients: define data strategy, architecture, governance, and roadmaps; manage projects and multidisciplinary teams through design and implementation; advise on platform selection and integration; contribute to business development and practice building; translate AI/data trends into practical recommendations.

Lead evidence generation engagements with life sciences clients across the product lifecycle. Design and oversee RWD/RWE studies, manage project teams, provide scientific and methodological direction, interact with senior clients, and produce high-quality deliverables including reports, presentations, abstracts, and manuscripts. Support business development and ensure timely delivery within a matrixed consulting environment.

Work with clients to design and implement AI-driven business and digital strategies. Conduct market and desk research, build financial and operational models, design AI programs with governance and responsible AI focus, collaborate with data scientists, present insights, manage project plans, and mentor junior team members to drive adoption and client outcomes.

Design and apply advanced statistical models and analytics to inform client decisions. Build custom analyses and visualizations, synthesize findings, present recommendations, manage project deliverables, develop client relationships, mentor junior team members, and support solution implementation.

Design and lead advanced quantitative research studies and analyses (e.g., experimental design, conjoint, regression, segmentation). Translate client needs into rigorous research plans, present actionable insights to senior stakeholders, mentor junior staff, and drive methodological innovation across projects.

Work on client-facing digital customer experience engagements to assess digital maturity, define digital vision and roadmaps, design future-state technology and analytics architectures, and lead implementation of marketing cloud, analytics, content management, CRM and campaign management solutions. Analyze marketing data, establish tagging, and build dashboards to measure campaign performance while collaborating with brand and marketing operations stakeholders.

Lead business development and delivery of complex supply chain transformations for high-tech and data center clients. Manage client relationships, design supply chain analytics and solutions (inventory, demand/capacity planning, network design, supplier performance), lead cross-functional teams, present executive recommendations, and coach project team members.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decision-making. Synthesize and present results, create deliverables, manage client relationships, provide project updates, mentor junior team members, and implement analytic solutions. Client-facing role with travel as required.