ZS · 1 day ago
Decision Analytics Associate Consultant – Process Engineer (Manufacturing)
ZS is a management consulting and technology firm focused on improving life through data, science, and technology. They are seeking a Decision Analytics Associate Consultant with a process engineering background to support projects in optimizing pharmaceutical and biotech manufacturing processes.
ConsultingManagement ConsultingMarketing
Responsibilities
Support process design and optimization work across drug substance and drug product manufacturing (e.g., upstream, downstream, utilities, fill-finish) under the guidance of senior team members
Help map current-state processes, identify bottlenecks, and contribute to recommendations that improve throughput, quality, safety, and efficiency
Perform data-driven analyses using production, quality, and equipment data (e.g., yields, cycle times, deviations) and translate findings into clear, structured outputs (slides, exhibits, process maps)
Contribute to facility and equipment design discussions, including process flow, layout, and concepts for multi-product or highly automated operations
Help prepare and, at times, participate in client presentations, workshops, and design reviews, clearly communicating your analyses and supporting senior team members during discussions
Collaborate with ZS colleagues to execute project workplans, manage assigned workstreams, and ensure timely, high-quality deliverables
Work with analytics and digital specialists to leverage data from systems such as MES, historians, LIMS, QMS, and ERP to track KPIs and identify improvement opportunities
Support internal practice development, including contributing to knowledge assets, case studies, and tools related to process optimization and manufacturing excellence
Qualification
Required
Bachelor's degree in Engineering (Chemical, Biochemical, Mechanical, Industrial, or a closely related discipline)
At least 3-5 years of relevant experience in process engineering, manufacturing, or technical operations within life sciences, biotech, pharmaceuticals, or related process industries
Exposure to commercial manufacturing operations (DS/DP/FG) with an understanding of upstream, downstream, and fill-finish processes
Hands-on exposure to manufacturing and quality systems, such as MES, LIMS, SAP/ERP, and eQMS
Exposure to process design and improvement, such as supporting changes to unit operations or equipment, assisting with capacity / throughput analyses, participating in investigations, root cause analysis, process improvement and equipment optimization, supporting process mapping, bottleneck identification, and shop-floor studies
Familiarity with cGMP environments and cross-functional collaboration with Quality, Validation, and Manufacturing teams
Basic understanding of ICH guidelines and Quality by Design (QbD) concepts is a plus
Comfort working with data and basic analytics (e.g., Excel, basic statistical analysis, visualization tools) to support problem solving and decision making
Strong communication and collaboration skills, with the ability to work as part of multi-disciplinary teams and explain technical concepts in a clear, structured way
Demonstrated initiative, ownership, and learning mindset, with an interest in building both engineering and consulting skills
Willingness to travel to client sites, as needed, to support on-the-ground client-facing interactions, assessments and implementation activities
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach
Benefits
Health and well-being
Financial planning
Annual leave
Personal growth and professional development
Robust skills development programs
Multiple career progression options
Internal mobility paths
Collaborative culture
Company
ZS
ZS is a management consulting and technology firm that partners with companies to improve life and how we live it.
H1B Sponsorship
ZS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (351)
2024 (297)
2023 (251)
2022 (440)
2021 (292)
2020 (164)
Funding
Current Stage
Late StageRecent News
2025-12-30
2025-12-11
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