Jobs at ZS

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.

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

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.

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

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.

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.

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.

Provides production application support and configuration for SAP FICO, resolving tickets and service requests within SLAs. Configures FI/CO modules and integrations, develops and tests solutions, collaborates with global business and vendor teams, and supports continuous improvement. The role also involves client stakeholder communication, presentations, cross-functional collaboration, and managing multiple projects.

Manage day-to-day AWS infrastructure across multiple accounts/environments, handle incidents and root cause analysis, ensure availability and performance, monitor health and costs, perform access management and patching, provision infrastructure with Terraform, detect and remediate drift, automate operational tasks, and support CI/CD-driven deployments.

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.

The Enterprise Architect will design scalable solutions, engage with clients, drive technology innovations, and manage client relationships while mentoring juniors within ZS's Technology Advisory Practice.

Manage Salesforce Health Cloud projects, lead delivery, develop capabilities, mentor teams, and design customized solutions for healthcare organizations.

Lead project teams to define scope, execute analyses, test hypotheses, synthesize findings, and present recommendations to clients. Drive thought leadership, business development, and mentor junior staff while managing project tasks and client relationships.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.