Jobs at ZS

Supports pharmaceutical consulting projects by analyzing quantitative and qualitative data, developing strategic insights, coordinating workstreams, managing timelines, and creating client deliverables. Collaborates with clients, internal teams, and leadership to solve ambiguous business challenges across Commercial and R&D. Contributes to strategic recommendations, project execution, internal initiatives, and team culture while applying industry trends, business acumen, and cross-functional problem-solving skills.

Optimize clients’ logistics, warehousing, transportation, distribution, and merchandising operations using operations research, advanced analytics, and AI. Develop optimization models, translate results into recommendations on cost, service, capacity, and productivity, and support technology implementations from requirements through deployment and adoption. Communicate findings to technical and business stakeholders while delivering client-focused consulting engagements.

Leads client portfolios using ZAIDYN data management and analytics solutions for emerging pharmaceutical companies. Responsibilities include business development, solution design, technology implementation, project and staffing management, client presentations, global team leadership, technical escalation, and mentoring. The role oversees scalable deployments involving analytics, AI, cloud, big data, BI, data governance, integration, and master data management.

Supports pharmaceutical clients through market research, commercial analytics, strategic problem-solving, and actionable insight development. Designs analyses, synthesizes findings, presents recommendations, supports commercial excellence initiatives, manages project plans, maintains client relationships, and mentors Associates. Works across strategy, insights, analytics, and commercial transformation engagements in a collaborative consulting environment.

Supports the strategy, research, design, and delivery of customer experiences, services, products, and brand interactions. Responsibilities include conducting qualitative research, creating journey maps, service blueprints, personas, and prototypes, facilitating Design Thinking workshops, developing experience strategies, collaborating with multidisciplinary teams, and presenting recommendations to clients. The role focuses on human-centered design for healthcare and life sciences organizations and requires client travel.

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 enterprise-scale digital transformation programs using Microsoft Azure AI, Fabric, Power Platform, Copilot, and related technologies. Oversees cross-functional delivery teams, AI operationalization, governance, risk mitigation, client alignment, business development, and digital strategy. Develops reusable assets, training programs, and delivery methodologies while strengthening Microsoft capabilities and partnerships. Requires extensive life sciences consulting experience, large-scale program leadership, stakeholder management, and familiarity with Agile, DevOps, and product-centric execution.

Leads large-scale technology consulting projects using cloud platforms and enterprise data solutions. Oversees project delivery, technology architecture, scalability, performance, cost optimization, client engagement, and global team collaboration. Coaches project members, develops business cases, manages risks, and supports innovation initiatives. Requires expertise in cloud platforms, data management, analytics, automation, application development, agile delivery, and client-facing consulting.

Leads enterprise product marketing strategy for ZS’s platform and product portfolio. Responsibilities include market research, positioning, messaging, pricing and packaging input, launches, commercialization, sales enablement, lifecycle adoption, executive influence, resource prioritization, and building a high-performing product marketing team. The role requires translating AI and technical capabilities into credible business value and driving awareness, demand, adoption, retention, expansion, and revenue growth across complex B2B SaaS markets.

Lead product vision, strategy, and delivery for digital products. Run discovery workshops, gather requirements, translate to specs and user stories, instrument analytics, drive adoption, mentor product managers, and support client-facing proposals and business development.

Provides strategy consulting support across varied client projects by conducting market, primary, and desk research; performing quantitative analyses; synthesizing findings; and developing actionable recommendations. The role involves client communication, relationship management, project planning, risk tracking, cross-functional collaboration, and mentoring Associates. Candidates should demonstrate structured problem-solving, adaptability, analytical ability, strong communication, and comfort working across ambiguous business challenges.

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.

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.

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.

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.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

The Decision Analytics Consultant delivers projects in pharmaceutical CMC development, employing quantitative skills to analyze data and provide client solutions while managing teams and enhancing practice development.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Provide quantitative analytics consulting to clients by defining business information needs, identifying appropriate data, executing analytical plans, evaluating results, and communicating actionable findings. The role requires collaboration with clients, expertise in advanced modeling and analytics tools, familiarity with client processes, and the ability to lead teams and advise senior decision-makers.