Quality Business Analysis & Transformation

ZS•Boston, New Jersey
•Hybrid

About The Position

ZS is a management consulting and technology firm that works with clients to develop solutions and technology products. Its Insights & Analytics group applies research, data analytics, and problem-solving to a range of business challenges. Within the Quality practice, ZS combines Quality expertise with business transformation, data, digital, and AI to support pharmaceutical and life sciences companies in building enterprise Quality capabilities. In this client-facing role, you will lead Quality business analysis, delivery, and project execution 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 with Quality subject-matter experts, product teams, data scientists, designers, and engineers to deliver scalable solutions. The work may include global Quality process and operating model redesign, predictive product risk solutions, intelligent investigations, and AI-enabled compliance capabilities. The role also contributes to proposals, demonstrations, solution workshops, estimation, reusable delivery assets, thought leadership, and the development of project team members. ZS offers cross-functional skills development, custom learning pathways, training aligned to career progression, and internal mobility opportunities. The position follows a hybrid working model, combining work from home with on-site presence at client or ZS offices for the majority of the week. Travel is required for client-facing employees as needed by project and client needs. This position is not eligible for visa sponsorship; applicants must have U.S. work authorization that does not require employer sponsorship now or in the future. An online application with official or unofficial transcripts is required.

Requirements

  • Bachelor’s or Master’s degree in life sciences, engineering, pharmacy, biotechnology, data science, information systems, or a related field.
  • At least 5 years 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 or enterprise application whitespaces and define solutions using workflow, data, analytics, AI, GenAI, and other digital capabilities.
  • Experience navigating at least one major QMS platform, such as Veeva Vault Quality, TrackWise, SmartSolve/SmartQMS, ComplianceQuest, ETQ, or similar.
  • Strong analytical skills and exposure to Excel, SQL, Power BI, Python, GenAI, or similar tools.
  • Experience translating business needs into process, data, system, and functional requirements.
  • Understanding of GxP, data integrity, CSV/CSA, validation, and traceability requirements for digital and AI-enabled Quality solutions.
  • Strong stakeholder management, communication, and problem-solving skills.
  • Ability to work across Quality, business, product, data, and technology teams.
  • Fluency in English.
  • Client-first mentality, intense work ethic, collaborative spirit, and problem-solving approach.
  • Strong verbal and written communication skills, including the ability to structure complex concepts clearly.
  • Ability to simplify technical and Quality concepts into practical frameworks and client-ready recommendations.
  • Strong attention to detail and a quality-focused mindset.
  • Client service orientation and ability to build credibility with senior stakeholders.
  • Ability to work effectively within global, cross-functional teams.
  • High motivation, strong work ethic, maturity, and personal initiative.
  • Must have U.S. work authorization that does not now or in the future require employer sponsorship.
  • Must submit an online application with a full set of official or unofficial transcripts.

Responsibilities

  • Lead client-facing Quality business analysis, delivery, and project execution workstreams across complex transformation initiatives.
  • Lead workstreams and teams; conduct stakeholder interviews and document Quality processes, pain points, controls, systems, and data requirements.
  • Identify gaps in existing QMS capabilities and develop innovative solutions using an outside-in perspective.
  • 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.
  • Turn 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 developing future Quality Consultants and solution leaders.

Benefits

  • Comprehensive total rewards package supporting health and well-being, financial future, time away, and professional development.
  • Skills-building programs.
  • Multiple career progression paths.
  • Internal mobility opportunities.
  • Cross-functional skills development and custom learning pathways.
  • Milestone training programs aligned to career progression opportunities.
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