Jobs at ZS

Manages client invoicing, purchase orders, billing compliance, and financial reporting. Responsibilities include processing billing instructions, issuing invoices, tracking client POs, resolving invoicing issues, supporting project startup and closure, ensuring accurate billing and collections, and maintaining invoice records. The role collaborates with project teams, finance partners, and clients while supporting active engagements and complying with organizational and client policies.

Manage AWS infrastructure across multiple regions and accounts, including Linux servers, serverless resources, and container infrastructure. Responsibilities include planning, configuration, migrations, upgrades, patching, monitoring, log analysis, performance reporting, access control, infrastructure audits, troubleshooting, root cause analysis, and threat mitigation. The role also involves mentoring team members and supporting secure, resilient cloud operations in a multi-domain environment.

Lead end-to-end technology consulting projects using cloud platforms, ensuring scalable, resilient, cost-effective solutions delivered on schedule and within budget. Manage global project teams, mentor team members, facilitate client interactions, develop business cases, and support innovation initiatives. Apply expertise in enterprise data management, advanced analytics, process automation, application development, databases, operating systems, and agile delivery while collaborating with clients and internal experts.

Support data governance policy implementation, data discovery, classification, cataloging, quality monitoring, metadata and lineage documentation, risk assessments, audits, tool administration, and remediation. Partner with data owners, stewards, and IT teams to promote secure, compliant, and trusted data. Provide training, user support, workflow assistance, and governance dashboards for leadership.

Build and deploy AI and machine learning solutions using distributed computing, cloud platforms, data pipelines, and production-grade software engineering practices. Responsibilities include technical requirements analysis, feature development, testing, code reviews, agile collaboration, architecture validation, and prototyping emerging technologies. The role partners with data scientists, architects, client-facing teams, and clients to deliver scalable AI solutions and manage machine learning lifecycles.

Collaborates with internal and client teams to analyze business problems, translate requirements into technical designs, and implement technology solutions. Develops technical features using appropriate methodologies, testing practices, and technology stacks. Supports project implementation planning, interprets business requirements, and contributes to small- and medium-scale client engagements involving databases, programming, cloud platforms, and analytics.

Supports contract intake, validation, and translation into SAP customer project, WBS, and billing structures. Maintains billing plans, records, audit trails, exception logs, and setup trackers while collaborating with Sales, Delivery, Finance, and Legal. Reviews contract terms, identifies issues, supports operational reporting, and ensures compliance with SOPs, governance standards, and revenue recognition processes including ASC 606 and IFRS 15.

Provides first-level technical support to employees and clients worldwide through phone, email, chat, and remote access. Troubleshoots Windows and Mac systems, applications, hardware, networking, VPN, Microsoft 365, Active Directory, Exchange, file access, software installation, and Intune issues. Tracks and follows up on tickets, escalates issues to L2 teams, handles administrative tasks, and supports additional projects in a 24/7 environment.

Administer and support AWS cloud and Windows Server environments, including monitoring, patching, vulnerability remediation, security hardening, troubleshooting, root cause analysis, automation with PowerShell, documentation, and infrastructure modernization or migration initiatives.

Provides strategic and scientific leadership for clinical data solutions across the drug development lifecycle. Leads client engagements, clinical data standards, analytics, digital R&D transformation, regulatory workflows, and technology innovation using AI/ML and GenAI. Oversees compliant, high-quality delivery; develops future-state operating models; leads global teams; mentors senior talent; builds practice capabilities; and supports business development and senior stakeholder relationships.

Supports enterprise business continuity, disaster recovery, governance, risk, and compliance programs. Responsibilities include conducting business impact analyses and risk assessments, maintaining continuity and crisis plans, coordinating technology recovery testing, managing emergency communications, delivering resilience training, supporting exercises, tracking corrective actions, and preparing metrics and reports for leadership and compliance reviews.

Leads offshore delivery for pharmaceutical and biotech data and technology engagements. Manages 20–30+ data engineers, developers, and consultants; establishes staffing, coordination, quality, risk, financial, and efficiency processes; coordinates across offshore, onshore, and R&D technology teams; participates in client discussions; and supports reusable asset development, including Generative AI solutions for drug discovery and preclinical research.

Lead the implementation and continuous improvement of an enterprise Project Risk Management operating model and Archer platform. Translate governance, compliance, contractual, and risk requirements into workflows, controls, decision trees, and assessment processes. Drive stakeholder adoption, standardization, governance forums, platform enhancements, and cross-functional collaboration across Legal, Privacy, Security, Compliance, Quality, and Risk teams. Support AI-enabled risk indicators, automation, evidence collection, and decision-support capabilities.

The Data Architect Lead is responsible for designing scalable architecture solutions, engaging with clients, and innovating technology assets while mentoring juniors and driving business growth.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

The Lead AI Scientist will design and optimize LLM architectures, fine-tune models, develop AI systems, mentor junior members, and collaborate with clients and teams on AI solutions.

As a Human Resources Specialist - Performance, you will support the global performance review cycle by designing processes, analyzing performance data, and collaborating with HR partners to enhance performance management across the organization.

Manage AWS infrastructure across Prod/Stage/Dev, handle incident management and root cause analysis for core AWS services, ensure availability and performance, monitor health and cost, perform access management and resource optimization, support Terraform-based provisioning, automate operational tasks, and work with CI/CD pipelines while collaborating with Engineering, Security, and Data teams.

Delivers master data management and technology consulting solutions across the project lifecycle. Translates business requirements into technical designs, develops and tests MDM solutions, leads task planning and team coordination, manages project deliverables, supports client communications, and mentors junior team members. The role requires collaboration across global teams, data analysis and quality expertise, SQL, MDM platforms, cloud awareness, problem-solving, and willingness to travel for client or internal engagements.

Develop and apply statistical forecasting models for pharmaceutical assets across lifecycle stages; synthesize diverse data sources; design analyses in R/SAS/Tableau/Visual Basic/Excel; communicate insights to clients; manage client relationships; create deliverables; mentor associates; travel to client sites as needed.