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Decision Analytics Consultant – Process Engineer (Manufacturing)
Decision Analytics Consultant – Process Engineer (Manufacturing)ZS • New York, New York
Decision Analytics Consultant – Process Engineer (Manufacturing)

Decision Analytics Consultant – Process Engineer (Manufacturing)

ZS • New York, New York
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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. ZSers drive impact by bringing a 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 healthcare and life sciences clients to solve complex manufacturing and operations challenges using data, engineering rigor, and structured problem solving.

We are seeking a Process Engineer Consultant (Decision Analytics)with strong domain expertise in commercial pharmaceutical manufacturing andshopfloor experiencewho have worked closely with manufacturing operations and quality systems.They will support and lead projects focused on designing, optimizing, and scaling pharmaceutical and biotech manufacturing processes.

This role is ideal for an engineer with hands-on experience in one or more ofbiologics, cell & gene therapy, or aseptic/sterile fill–finish operations, who enjoys working cross-functionally and using data to improve safety, efficiency, and product quality.

What You’ll Do: As a Decision Analytics Consultant in Manufacturing, you will...

  • Lead and support process design, operational improvement and optimization projects across drug substance and drug product manufacturing (e.g., upstream, downstream, utilities, fill–finish), from early concept through detailed design and implementation.
  • Partner with client engineering, manufacturing, quality, and supply chain teams to map current processes, identify bottlenecksand recurring issues, and propose innovative design and operating strategies that improve throughput, safety, maintainability, and flexibility for future products.
  • Use (manufacturing and quality)data-driven analysis (e.g., equipment performance data, production data, deviation trends) to diagnose process issues, quantify impact, and recommend short- and long-term solutions.
  • Contribute to facility and equipment design for new or expanded manufacturing capacity, including process flow development, material and personnel flows, and support for multi-product or “lights-out” / high-automation concepts where appropriate.
  • Link manufacturing performance improvements (e.g., OEE, yield, cycle time) to broader supply chain outcomes such as service levels, reliability, and supply assurance.
  • Support deviation investigations, change control discussions,quality driven tradeoffs, balancing throughput, risk, and compliance in a cGMP environment.
  • Work with our analytics and digital teams to leverage data from MES, historians, LIMS, QMS, SAP, and other systems to track key performance indicators (e.g., OEE, yield, cycle time, quality metrics) and identify improvement opportunities.
  • Contribute to thought leadership and practice development in areas such as process optimization, tech transfer, scale-up, and smart manufacturing within life sciences.
  • Support and sometimes lead client presentations, workshops, and design reviews, clearly communicating technical concepts and trade-offs to both technical and business stakeholders.
  • Collaborate with ZS colleagues to define project scope, develop workplans, and ensure on-time, high-quality delivery across multiple engagements.
  • Mentor junior team members, provide feedback, and help build functional expertise within the broader manufacturing and operations team.

What You’ll Bring:

  • Bachelor’s degree in Engineering (e.g., Chemical, Biochemical, Mechanical, Industrial) or a closely related technical discipline; an advanced degree is a plus.
  • 5+ years of relevant experience in process engineering or technical consulting within the pharmaceutical, biotech, or broader process industries, with exposure to large-scale biologics, cell & gene therapy, or aseptic manufacturing.
  • Demonstrated experience in process design and improvement, such as:
  • Designing or modifying unit operations (upstream, downstream, utilities, or fill–finish)
  • Conducting capacity and throughput analyses
  • Improving safety, quality, and reliability through engineering changes
  • Supporting tech transfer or scale-up activities
  • Comfort analyzing and synthesizing large data sets, developing clear visuals, and translating insights into actionable recommendations for clients.
  • Strong understanding of Quality systems that are part of routine manufacturing, including deviations, CAPAs, and change control, and how theyimpact manufacturing and process improvement efforts.
  • Familiarity with cGMP environments and cross-functional collaboration with Quality, Validation, and Manufacturing teams. Experience supporting commissioning/qualification or new equipment start-up is a plus.
  • Practical familiarity withManufacturing 4.0 / Smart Manufacturing concepts and the role of digital tools and data in driving manufacturing performance (e.g., understanding of MES, historians, LIMS, QMS, SAP, and how data from these systems can be used for KPIs and process improvement).
  • Strong communication and client-facing skills, with the ability to structure complex ideas, build relationships, and gain stakeholder buy-in, from shop floor operators to senior leaders.
  • Comfort working across multiple client engagements, adapting quickly to new environments, and collaborating within crossfunctional consulting teams.
  • High motivation, strong work ethic, and a team-oriented mindset, with experience collaborating across offices or virtual teams.
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

How you’ll grow:

  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

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Decision Analytics Consultant – Process Engineer (Manufacturing) • New York, New York

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