Jobs at ZS

Designs and implements production-ready data solutions, including pipelines, orchestration, ingestion, distributed computing, and cloud services. Responsibilities include gathering technical requirements, writing tested code, conducting design and code reviews, troubleshooting defects, participating in Agile ceremonies, and evaluating emerging technologies. The role collaborates with architects, client-facing teams, and project stakeholders while applying data management, DevOps, security, ETL, and data warehousing practices.

Lead and contribute to end-to-end UX for a ZAIDYN product area: set strategy, drive usability and adoption metrics, solve complex data-dense workflows, hire and develop UX designers, enable delivery and cross-functional alignment, uphold design-system governance and accessibility, and contribute to platform-wide UX initiatives including AI patterns.

Administer, configure, develop, and architect ServiceNow solutions across ITSM, CSM, CMDB, and asset management. Build custom applications, workflows, automations, integrations, and self-service capabilities; support upgrades, releases, security, performance, and governance. Troubleshoot platform issues, conduct root cause analysis, maintain documentation, and collaborate with stakeholders to deliver scalable enterprise solutions.

Develops advanced statistical models and custom analyses using analytics tools to guide client decision-making. The role communicates findings through presentations, builds client relationships, provides project updates, creates deliverables, implements solutions, and mentors Associates. Candidates need a quantitative academic background, programming or analytics-tool proficiency, strong communication skills, and up to three years of relevant experience.

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.

Performs manual penetration testing of web, mobile, API, and microservices applications; conducts secure code reviews and design assessments; identifies and validates vulnerabilities; documents findings; supports remediation and incident response; guides junior testers; and promotes secure coding and application security awareness.

Lead the evolution of ZS’s global finance technology ecosystem, including SAP S/4HANA migration from SAP ECC. Translate finance requirements into scalable systems and process solutions, coordinate enhancements and integrations, strengthen forecasting, revenue recognition, close, project finance, reporting, governance, and controls, and support adoption and change management across global teams.

Lead the enterprise-wide data security and governance strategy, establishing policies, controls, classification standards, lifecycle processes, and compliance practices. Oversee data security tooling across cloud, SaaS, and hybrid environments, including DLP, DSPM, data catalogs, SIEM, IAM, and encryption integrations. Manage risk assessments, incident response, breach remediation, stakeholder adoption, training, and governance KPIs. Lead and mentor a team of data security professionals while managing tooling and organizational change.

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.

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.

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.