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Quality Business Analysis & Transformation

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: ZS
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Business
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 135000 - 170000 USD Yearly USD 135000.00 170000.00 YEAR
Job Description & How to Apply Below

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide.

client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Insights & Analytics

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

Within our Quality practice, we work at the intersection of Quality domain expertise, business transformation, data, digital, and AI. Our work spans global Quality process and operating model redesign, predictive product risk solutions, intelligent investigations, and AI-enabled compliance capabilities. We focus on building the next generation of enterprise Quality capabilities for pharmaceutical and life sciences companies.

What You’ll Do

In this role, you will lead Quality business analysis, delivery, and project execution on client facing work streams across complex transformation initiatives. You will work with clients to understand current-state processes, pain points, systems, controls, and data needs; define future-state requirements; and coordinate across Quality SMEs, product teams, data scientists, designers, and engineers to deliver scalable solutions.

  • Lead work streams and teams & conduct stakeholder interviews and document Quality processes, pain points, controls, systems, and data requirements
  • Bring an outside-in perspective to identify gaps in existing QMS capabilities and develop innovative solutions
  • Support future-state process design, QMS transformation, Quality analytics, and AI-enabled use cases
  • Analyze Quality data, develop business and functional requirements, support testing, and prepare client deliverables
  • Manage day-to-day project execution and coordinate across business, Quality, data, and technology teams
  • Convert client delivery insights into reusable frameworks, data models, analytical components, playbooks, and implementation assets
  • Support proposals, demonstrations, solution workshops, effort estimation, accelerators, and thought leadership
  • Guide and mentor project team members and contribute to building future Quality Consultants and solution leaders
What You’ll Bring
  • Bachelor’s or Master’s degree in life sciences, engineering, pharmacy, biotechnology, data science, information systems, or a related field
  • At least 5 year of experience in life sciences across Quality, QMS, manufacturing, laboratory operations, and/or consulting
  • Strong working knowledge of at least two Quality processes such as deviations, CAPA, complaints, change control, risk management, supplier quality, or QMS implementation and configuration
  • Experience leading teams and supporting large-scale Quality transformation or technology-enabled initiatives
  • Ability to identify process and QMS capability gaps / enterprise application white spaces and define solutions using workflow, data, analytics, AI, GenAI, and other digital capabilities
  • Experi…
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