Jobs at ZS

Lead consulting engagements that translate business requirements into technical solutions. Design and deliver data platforms, ETL pipelines, analytics solutions, architectures, prototypes, testing, deployment, and operations plans using Databricks, Snowflake, Python, PySpark, SQL, and AWS. Manage project teams, distribute tasks, mentor junior staff, communicate with clients, support project planning and risk mitigation, and ensure high-quality delivery across global teams.

Build and deliver client technology solutions using ETL platforms, SQL, data warehousing, programming, and cloud technologies. Own assigned activities across project lifecycles, apply Agile or Waterfall methodologies, support requirements, architecture, prototyping, testing, and operations, and assist with project management. Collaborate with global teams and clients while applying creative, analytical, and consulting-oriented problem solving.

Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.

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.

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.

Develop and scale generative AI applications, including RAG pipelines, answering engines, extraction tools, and content-authoring solutions. Build and optimize prompts, embeddings, vector databases, caching layers, and other GenAI components. Collaborate with data scientists and clients to deploy machine learning pipelines and manage the ML lifecycle using cloud platforms such as AWS, Azure, and GCP. Apply software engineering, DevOps, CI/CD, and distributed computing practices to create scalable, user-focused AI products.

Leads end-to-end cloud technology consulting projects, delivering scalable data and technology solutions for clients. Responsibilities include project leadership, technology strategy, delivery management, cloud architecture, data management, analytics, process automation, application development, team mentoring, business case development, and global client collaboration. The role also requires troubleshooting database, operating system, and application interactions and traveling as needed for client engagements.

Designs and implements production-grade machine learning and GenAI features, pipelines, and platform components. Responsibilities include coding, testing, debugging, architecture support, code reviews, proofs of concept, agile collaboration, client requirements analysis, feature estimation, and mentoring. The role requires deploying ML models at scale, using ML engineering platforms and big-data technologies, and developing reusable metadata-driven batch and real-time data pipeline patterns.

Leads the enterprise Human Risk Management program, including security awareness, phishing resilience, role-based cybersecurity education, mandatory training, behavior-change initiatives, risk metrics, dashboards, governance, and executive reporting. Partners with security, HR, legal, technology, and business teams to reduce human-related cybersecurity risk. Evaluates awareness platforms, develops security culture programs, uses automation and AI, and maintains audit-ready documentation and continuous-improvement practices.

Leads client-facing data engineering engagements from discovery through production, translating business requirements into cloud architectures, ETL/ELT pipelines, data lakes, warehouses, and analytics solutions. Oversees technical delivery, project planning, quality reviews, testing, documentation, and stakeholder communications. Mentors engineers and consultants, drives coding and data quality standards, supports business development, and develops scalable solutions using Python, SQL, Spark, and major cloud platforms. The role also contributes to AI-enabled data engineering and supply chain or manufacturing solutions.

Support enterprise DLP and DSPM operations by monitoring and investigating data security incidents, tuning policies, conducting data discovery and classification, managing cloud and SaaS data sources, and preparing compliance reports and security metrics. The role collaborates with security, legal, privacy, compliance, HR, infrastructure, and business teams on incident response, remediation, and continuous improvement.

Manage AWS infrastructure across production, staging, and development environments. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, access management, patching coordination, resource and cost optimization, and maintaining high availability. The role supports Terraform-based provisioning, drift remediation, automation, and CI/CD infrastructure deployments while collaborating with Engineering, Security, and Data teams.

Leads end-to-end planning, execution, governance, and delivery for large transformation programs with multiple workstreams and stakeholders. Establishes PMO frameworks, manages risks and dependencies, solves complex problems, maintains momentum, and partners with clients and senior leaders. Mentors junior PMO professionals and ensures successful outcomes across Agile, Waterfall, and hybrid environments.

Manages workplace and facilities operations, including space planning, relocations, vendors, contracts, compliance, safety exercises, events, budgets, invoices, and office moves. Oversees OPEX and CAPEX, facility projects, contractors, service-level performance, statutory permits, and stakeholder escalations while ensuring cost-effective, compliant service delivery.

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.

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.