Jobs at ZS

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Support and enhance observability for a cloud/SaaS platform: review logs and performance data, maintain SIEM/APM tools (Splunk, Uptrends, Datadog), write regex and complex Splunk queries, build dashboards/alerts, automate processes, and document monitoring configurations and upgrades.

Lead and execute multi-pod, multi-region SaaS product roadmaps; manage and mentor product managers; coordinate sprint planning, release management, and cross-team dependencies; work with stakeholders across time zones; build AI/LLM-powered product features and safety guardrails; operate in regulated industry contexts and support client-facing engagements with required travel.

Manage and operate AWS infrastructure across multiple accounts and environments. Troubleshoot incidents, monitor health and costs, ensure availability and performance, provision resources with Terraform, detect and remediate drift, automate operational tasks, and collaborate with engineering, security, and data teams to support CI/CD deployments and scalable, secure cloud architectures.

Collaborate with client-facing teams to gather technical requirements, design and implement GenAI and data solutions, write production-ready code and tests, follow architecture and coding best practices, use version control and CI/CD, and research/evaluate new technologies and prototypes.

Develop and configure ZAIDYN data pipelines and analytics-ready and AI-ready data products. Responsibilities include ETL development, data modeling, data quality rules, KPI computation, cloud and big-data integration, testing, deployment, documentation, and client delivery. The role translates business requirements into technical solutions, collaborates with global engineering and analytics teams, supports project planning, mentors junior colleagues, and manages assigned workstreams.

Work with internal and client teams to analyze business problems, design and implement technical solutions using best practices, apply development methodologies, assist in implementation, and support project planning and QA for technology engagements.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

Perform IT compliance audits, document and monitor controls, create remediation plans, support client-directed audits (SOX, SSAE/SAS, PCI), develop IT policies and training, assist legal on technology compliance, participate in DR planning/testing, and support vendor assessments and security projects.

Lead design and implementation of enterprise Anaplan Sales Performance Management and planning solutions. Translate business requirements into technical designs, own solution architecture and integrations (Salesforce, SAP, Snowflake, Databricks, Azure, AWS), manage delivery and testing (SIT/UAT/deployment/hypercare), mentor a team of Anaplan developers, run workshops with stakeholders, and support business development and operational readiness.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Design and implement innovative clinical data solutions, lead technology projects, and collaborate with clients for impactful analytics in life sciences.

Develop and implement digital twin architectures for patient modeling, research AI innovations, mentor junior team members, and contribute to client solutions.

Drive delivery excellence by embedding best practices, tracking KPIs, conducting process reviews and audits (CMMI/ISO), supporting risk governance, training teams, and implementing continuous improvement using Lean/Six Sigma/Agile.

Work with pharma CMC clients to build and apply first-principles (CFD/DEM) and AI/ML models for process development, optimization, and quality prediction. Support data analysis, model validation, cross-functional collaboration, and translate outputs into actionable insights while developing consulting skills and mentoring junior team members.

As a Decision Analytics Consultant, you will leverage quantitative skills to analyze clients' business questions, working collaboratively to deliver data-driven insights and solutions while managing relationships and client expectations.

The Senior IT Content Developer will manage the lifecycle of IT Knowledge Base content, optimize IT communications, improve user adoption, and ensure adherence to branding standards.

Lead a data science team to design and implement AI/ML solutions for life sciences R&D (drug discovery, clinical trials, regulatory), manage projects and client relationships, develop proposals and POVs, build predictive models, integrate large datasets, and communicate insights while driving capability development and research.

Consulting role applying advanced statistical models and analytic techniques to solve client business problems. Design custom analyses using Python, R, Tableau, SAS, VBA and Excel; communicate results, create deliverables, manage client relationships, mentor associates, and support project delivery with frequent collaboration and travel as needed.

Lead design and delivery of learning and development programs across India. Partner with HRBPs and business stakeholders to identify needs, execute training, measure program effectiveness, ensure high-quality delivery, align with global teams, and enhance learning pathways while working in a matrixed environment.