Jobs at ZS

Leads large-scale technology consulting and digital transformation programs for Life Sciences clients. Responsibilities include solution strategy, delivery governance, stakeholder management, enterprise data and AI implementations, client advisory, proposal development, account expansion, and global team leadership. The role requires expertise in Databricks or Snowflake, Medallion Architecture, cloud data platforms, Generative AI, Agentic AI, and intelligent automation, along with the ability to connect business strategy to technology execution.

Manages software license assignments, usage reviews, audit reports, chargebacks, asset records, purchase orders, invoice validation, vendor coordination, and CMDB updates. The role also maintains project data, prepares reports and presentations, and follows up on open issues. Candidates should have IT asset management or operations experience, software license and invoice processing knowledge, strong Microsoft Office skills, and preferably ServiceNow and SAP experience.

Support enterprise identity and access management operations, including user lifecycle management, provisioning, privileged access, Active Directory, Entra ID, MFA, Conditional Access, SSO, federation, and authentication troubleshooting. Automate IAM processes using PowerShell, Python, and REST APIs; support security remediation, documentation, incident resolution, change management, and SLA compliance. Collaborate with IT and security teams and provide technical guidance to junior staff.

Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.

Leads client-facing technology consulting engagements for manufacturing and industrial operations. Responsibilities include OT and industrial data strategy, solution architecture, SDLC delivery, Unified Namespace and data-layer design, client relationship management, account expansion, cross-functional team leadership, validation, change management, and ROI delivery. The role requires deep expertise in plant-floor systems, industrial connectivity, cloud, data engineering, and life-sciences or pharmaceutical manufacturing.

Leads AI-enabled analytics engineering and commercial analytics workstreams for life-sciences and other clients. Builds Databricks insight pipelines, agentic LLM workflows, conversational analytics, evaluation harnesses, governed data products, and production-quality software. Structures ambiguous business questions, applies advanced analytical methods, integrates complex data sources, and translates findings into decisions and client-ready deliverables. Manages and coaches teams of 2–4, oversees quality and delivery risks, supports client stakeholders, and contributes to proposals and capability development.

Build and maintain Databricks analytics pipelines, LLM agent tools, evaluation harnesses, data guardrails, and tests while delivering commercial analytics for client teams. Analyze varied healthcare, life sciences, CRM, financial, and operational datasets using segmentation, forecasting, cohorts, and test-and-control methods. Present insights clearly, manage modules end to end, guide Associates, support SIT/UAT, and collaborate directly with clients.

Manage multi-region AWS infrastructure and Linux servers, including configuration, migrations, upgrades, patching, monitoring, access control, troubleshooting, and root-cause analysis. Support serverless and container infrastructure, analyze logs and performance trends, audit infrastructure, mitigate threats, and resolve escalated operational issues. Mentor new team members and collaborate in a hybrid, client-facing consulting environment.

Administer SolarWinds and monitor Windows, Linux, network, and application infrastructure. Configure monitoring modules, devices, alerts, dashboards, polling engines, agents, credentials, reports, and platform maintenance. Respond to 24x7 alerts, investigate issues through RDP and SSH, perform first-level troubleshooting, and escalate incidents. Manage ITSM tickets, documentation, runbooks, handovers, audits, patching windows, and maintenance schedules while supporting client-facing infrastructure operations.

Leads technology risk, application security, AI governance, and compliance assessments across applications, cloud services, platforms, third parties, and AI solutions. Defines assessment scope, evaluates controls and residual risk, documents findings, oversees remediation, supports incidents, and provides management reporting. The role also contributes to security policies, assessment methodologies, DevSecOps governance, secure software development, AI risk management, and continuous improvement while collaborating with technical, legal, privacy, compliance, and business stakeholders.

Designs, architects, implements, and configures Varicent incentive compensation solutions for clients. Responsibilities include requirements gathering, solution blueprinting, data integration, migration, testing, troubleshooting, training, documentation, and ongoing support. The consultant engages stakeholders throughout project lifecycles, mentors junior team members, manages global virtual teams, and supports multiple projects. The role is hybrid in Gurgaon or Pune and requires travel to collaborate with clients and internal teams.

Develop advanced data science algorithms, apply statistical and machine learning techniques to large datasets, evaluate emerging data technologies, and build scalable generative AI and deep learning solutions. Collaborate with clients and engineering teams to communicate findings, deploy models into production, and maintain reliable workflows using software engineering best practices.

Lead advanced data science and numerical optimization projects using large, unstructured datasets. Develop computationally efficient analytic solutions, collaborate with engineering teams on deployment, evaluate emerging technologies, build scalable analytic assets, communicate findings to clients, contribute to research and publications, and manage project teams.

Configure and develop Anaplan planning solutions for territory, quota, incentive compensation, sales, forecasting, and workforce planning. Translate business requirements into technical specifications, create models and dashboards, support testing and deployment, prepare project documentation, and participate in client discussions and post-production support. The role collaborates with global delivery teams, project leads, and solution architects while developing expertise in Anaplan and business planning processes.

Leads complex security incident investigations, performing endpoint, memory, cloud, and digital forensic analysis. Coordinates containment, eradication, recovery, stakeholder communications, and closure. Maintains incident response playbooks, supports readiness exercises, develops metrics, and identifies automation opportunities. Requires hands-on experience with Microsoft Sentinel, multi-cloud investigations, forensic tools, evidence preservation, attacker techniques, and defensible reporting.

Owns ZS’s Azure enterprise architecture, governance, security, networking, infrastructure-as-code, CI/CD, identity, monitoring, and platform operations. Supports AKS, AI workloads, Microsoft 365, Power Platform, Azure DevOps, and ServiceNow integrations. The role provides technical guidance, investigates incidents, manages vendors, reviews solution architectures, automates operations, and serves as an L3 escalation point for Azure and Microsoft 365 issues.

Support global performance review cycles by executing performance enablement processes, leading workstreams, analyzing performance data, tracking KPIs, and producing leadership insights. Maintain HR performance systems, collaborate with HR business partners and leaders, support performance improvement plans, guide stakeholders on best practices, and help develop transparent communications. The role also contributes to process enhancements and continuous improvement across a global, cross-functional organization.

Design and implement production-grade AI and machine learning solutions, including scalable GenAI applications, RAG pipelines, ML platforms, data pipelines, and distributed cloud systems. Collaborate with architects and client-facing teams, write tested and maintainable code, conduct technical research and proofs of concept, participate in Agile delivery, troubleshoot production issues, review code, estimate work, and mentor engineers.

The Senior Human Resources Associate leads talent acquisition for enterprise technology roles. Responsibilities include sourcing and screening candidates, managing requisitions and interview logistics, advising hiring managers and senior leaders, building talent pipelines, tracking recruiting metrics, coordinating technical interviews, improving candidate and interview processes, and supporting recruiting projects and knowledge-sharing initiatives.

Leads ZS’s global client billing center of excellence in Pune, managing 20–22 professionals and overseeing end-to-end invoicing, billing controls, reconciliations, audit readiness, working-capital improvement, and stakeholder partnerships. The role drives process standardization, automation, KPI reporting, and SAP transformation while supporting diverse global billing models, client portals, tax requirements, and order-to-cash activities.