ZS

ZS

Boston, MA
13,000 Total Employees
200 Local Employees
Year Founded: 1983

Teams at ZS

Team

Transforming Global Healthcare and Beyond

Today, having a wealth of data on hand or digital literacy isn’t enough to cement an organization’s success — it needs advanced insights and custom tech that can spot inefficiencies, drive decision-making and power innovation. At ZS, the global management consulting and technology firm is leveraging proprietary technology — chief among it, the company’s ZAIDYN platform — to help bring healthcare clients into a new era. In an industry that constantly seeks clear solutions for complex problems, team members at ZS know that their work can positively impact the future of healthcare: “There is nothing more satisfying than seeing your product improving efficiency,” said Associate Principal of Digital & Technology, Laura Elisa Montealegre.

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Search the 18 jobs at ZS

Recently posted jobs

19 Hours Ago
Boston
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
ZS is seeking a CRM Product Owner with experience in Microsoft Dynamics to lead the development and governance of the CRM system. The role involves defining the product vision, collaborating with cross-functional teams, prioritizing features, ensuring value delivery, and leading a team of CRM Administrators.
19 Hours Ago
Boston
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Marketing Manager at ZS will manage multiple projects, provide thought leadership, drive business and new client pursuits, oversee project lifecycles, and contribute to intellectual capital and solution development. The role requires a Bachelor's degree in Marketing, Engineering, or equivalent field, 8+ years of marketing strategy experience, strong analytical skills, and prior experience in market research or agency environment.
Yesterday
Boston
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Develop advanced algorithms, execute statistical techniques, evaluate datasets, contribute to thought leadership, possess strong programming skills, and have expertise in machine learning and big data concepts.