Jobs at ZS

Manages global benefits compliance, policy drafting, leave administration, ADA accommodations, and regulatory interpretation. Oversees complex leave and health-plan cases, partners with Legal and benefits providers, maintains governance and audit documentation, advises HR teams, and analyzes case data to identify compliance risks. The role requires deep U.S. leave-law expertise, including FMLA, ADA, HIPAA, NY PFL, CA PFL, and NJ TDI, plus experience supporting global benefits programs.

Lead product marketing for ZAIDYN Field Performance, defining positioning, narratives, go-to-market strategies, launches, packaging, and sales enablement. Develop messaging, demos, case studies, ROI stories, and competitive materials while partnering with product, sales, customer success, and industry marketing teams. Conduct market and buyer research, oversee win/loss analysis, support advocacy programs, and translate AI and analytics capabilities into compelling customer value across global markets.

Owns client relationships, revenue, account strategy, and growth for assigned pharmaceutical and biotech discovery accounts. Develops account plans, builds relationships with scientific and senior R&D stakeholders, identifies cross-service opportunities, coordinates delivery teams, and supports business development, proposals, and engagement expansion. The role requires broad drug discovery familiarity with depth in areas such as bioinformatics, AI, data, scientific strategy, or technology.

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 delivers customer data, marketing technology, and customer experience solutions for clients, including requirements gathering, solution design, implementation, activation, analytics, and measurement. The role uses SQL and ETL expertise, collaborates with architects, leads project workstreams, supports delivery planning and risk mitigation, creates technical and business deliverables, and mentors junior team members. Client-facing consulting experience in marketing technology, customer data platforms, marketing automation, cloud solutions, and omnichannel engagement is required.

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.

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, business requirement interpretation, and client engagements. The role requires strong analytical, programming, database, cloud, communication, and problem-solving skills, with travel to client or company offices as needed.

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.

Consults with clients on marketing technology, customer data, and customer experience transformation. Leads strategy, solution design, implementation, activation, analytics, and performance measurement for customer engagement initiatives. Translates business goals into scalable technology solutions, guides data integration and solution roadmaps, manages project delivery, facilitates workshops, supports proposals and business cases, and mentors junior consultants.

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.

Analyzes real-world and client data to answer business questions, develop analytical solutions, and communicate actionable findings to senior stakeholders. The role involves collaborating with clients, determining appropriate data sources, executing quantitative analyses, understanding client processes, and developing expertise in client analytics areas. It requires strong quantitative, communication, problem-solving, and team leadership skills, with work performed in a hybrid, client-facing consulting environment.

Leads digital product strategy and delivery for client engagements, from discovery through execution and go-to-market. Defines product vision, gathers requirements, creates user stories and process artifacts, advocates for users, measures product impact, and drives improvements. Facilitates workshops, supports stakeholder adoption, mentors colleagues, contributes to thought leadership and business development, and collaborates with cross-functional teams in a consulting environment.

Leads product demand generation for ZAIDYN and ZS’s product portfolio, developing integrated B2B campaigns across digital, ABM, events, alliances, email, paid media, social, webinars, and SEO. Manages campaign performance, attribution, budgets, pipeline contribution, and ROI while partnering with Product Marketing. Leads and develops the demand generation team, establishes campaign governance and processes, and uses post-campaign insights to improve marketing operations and scalability.

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.

Provides administrative and office operations support, including supply and equipment purchasing, meeting and event coordination, front desk coverage, vendor relationship management, and facility maintenance coordination. The role also assists with special projects, IT troubleshooting, correspondence, and general office tasks while maintaining a professional, organized, client-focused approach.

Leads a Buenos Aires-based administrative support team serving senior consulting leaders globally. Oversees staffing, onboarding, workload allocation, performance management, coaching, service quality, stakeholder partnerships, and process improvement. Establishes scalable support practices, coordinates cross-functional priorities, develops team capability, and leads local and regional initiatives to improve operational effectiveness.

Manage multiple projects, provide client support, lead technology solution delivery, ensure robust technical design, and drive innovative client solutions.

Develop advanced statistical models and custom analyses to support client decision-making. Use R, Tableau, SAS, Visual Basic, and Excel to investigate business issues, synthesize findings, and present recommendations. Manage project deliverables, provide status updates, build client relationships, implement solutions, and mentor Associates. The role requires quantitative analytical expertise, strong communication, teamwork, and a client-focused approach.

The Decision Analytics Associate develops statistical models, analyzes data using various tools, communicates results, and mentors associates. They collaborate with clients to design solutions based on advanced data analytics, requiring effective communication and problem-solving skills.