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Zifo

Specialist scientific informatics services for science

Head of Manufacturing - Scientific Informatics

Business & StrategyUpdated on Nov 10
Full-timeRemote in USA$170k - $250kRemote

About the Job

Requirements

  • At least 15 years of experience in Manufacturing Informatics, MES, Digital Manufacturing, Life Sciences IT, Manufacturing IT, or related consulting/services environments.
  • Demonstrated experience working with pharmaceutical, biotechnology, or other regulated manufacturing organizations.
  • Significant experience in MES/EBR and manufacturing digital transformation.
  • A proven track record in business development and consultative selling.
  • Experience managing large and complex manufacturing technology programs.
  • Demonstrated ability to build and manage senior customer relationships.
  • Experience managing geographically distributed teams and global delivery models.
  • Experience with RFPs, proposals, solution architecture, commercial negotiations, and contract management.
  • Strong understanding of GxP, CSV/CSA, data integrity, cybersecurity, and regulated manufacturing environments.

Responsibilities

  • Define and execute the Manufacturing Informatics business strategy in alignment with company growth objectives.
  • Develop a differentiated market proposition across MES, EBR, Manufacturing Intelligence, Digital Manufacturing, LIMS/ELN integration, OT/IT integration, and Industry 4.0.
  • Identify target markets, accounts, partnerships, and emerging opportunities within the pharmaceutical and biotechnology industry.
  • Build and manage a sales pipeline and revenue forecast.
  • Establish annual bookings, revenue, margin, and growth targets for the business.
  • Develop go-to-market strategies for new services, solutions, and accelerators.
  • Identify opportunities for geographic expansion and new customer segments.
  • Build strategic partnerships with technology vendors, system integrators, and manufacturing technology providers.
  • Own the Manufacturing Informatics sales lifecycle from lead generation through contract closure.
  • Develop and maintain relationships with C-level and senior stakeholders, including CIO, CDO, COO, VP Manufacturing, VP Digital, QA, IT, Engineering, and Operations leaders.
  • Lead customer discovery sessions and understand manufacturing transformation priorities.
  • Develop account strategies and identify cross-sell and up-sell opportunities.
  • Lead RFP/RFI responses, proposals, presentations, solution workshops, and commercial negotiations.
  • Partner with sales teams to qualify opportunities and establish winning strategies.
  • Develop value propositions and business cases demonstrating measurable customer outcomes.
  • Build relationships with strategic accounts and establish long-term managed-service and transformation engagements.
  • Represent the organization at industry conferences, customer forums, and executive meetings.
  • Provide thought leadership and oversight across MES strategy and implementation; Electronic Batch Records (EBR); MES selection and vendor evaluation; manufacturing process assessment and digital transformation; manufacturing requirements and business process design; recipe and master data management; manufacturing intelligence and analytics; LIMS/ELN/MES integration; ERP–MES–LIMS integration; OT/IT integration; serialization and track & trace; digital manufacturing and Industry 4.0; manufacturing data platforms; cloud and hybrid manufacturing architectures; and AI/ML applications in manufacturing.
  • Connect business manufacturing needs, technology strategy, regulatory requirements, and implementation execution.
  • Build and lead a high-performing Manufacturing Informatics organization.
  • Develop organizational structure, competency models, career paths, and succession plans.
  • Recruit and retain experienced MES, EBR, manufacturing technology, solution architecture, and consulting professionals.
  • Develop future leaders and technical subject-matter experts.
  • Establish a culture focused on customer value, innovation, accountability, quality, and commercial performance.
  • Balance utilization, employee development, and business growth.
  • Promote collaboration across Sales, Delivery, Technology, Quality, and other business functions.
  • Define the organization's Manufacturing Informatics innovation roadmap.
  • Identify opportunities to leverage AI, automation, analytics, digital twins, cloud technologies, and intelligent manufacturing.
  • Develop reusable accelerators, frameworks, and intellectual property.
  • Explore AI-enabled manufacturing use cases, including batch record review, manufacturing deviation analysis, manufacturing knowledge assistants, electronic batch record intelligence, process analytics, predictive maintenance, manufacturing data contextualization, automated documentation, and manufacturing investigation support.
  • Ensure emerging technologies are evaluated for business value, cybersecurity, GxP compliance, data integrity, and operational risk.
  • Own or contribute to the Manufacturing Informatics P&L.
  • Establish and manage revenue, bookings, margin, utilization, and profitability targets.
  • Develop annual operating plans and budgets.
  • Monitor sales pipeline, backlog, revenue forecast, and resource demand.
  • Drive improvements in gross margin and delivery efficiency.
  • Evaluate investments in people, technology, partnerships, and accelerators based on ROI.
  • Provide regular business performance updates to executive leadership.

Desired Qualifications

  • Experience with financial management, forecasting, utilization, margins, and P&L/business-unit management.
  • Strong understanding of one or more of these platforms and ecosystems: Siemens Opcenter; Rockwell FactoryTalk/PharmaSuite; Körber Werum PAS-X; Emerson Syncade; MasterControl; SAP Digital Manufacturing; SAP ERP; Oracle Manufacturing.

About the Company

Zifo

Specialist scientific informatics services for science

Zifo provides tailored scientific informatics services across Laboratory/R&D, Manufacturing, and Trial operations to help science-driven organizations discover, develop, manufacture, and test products for global health. It partners with clients to assess needs, design and implement data-driven solutions, and manage ongoing operations using consulting, development, and managed services, leveraging cloud, HPC, data modeling, and instrument data. It differentiates itself with end-to-end informatics capabilities and deep domain knowledge, from transformation coaching to validation and custom integrations, all aimed at supporting research, development, manufacturing, and trials. Its goal is to empower customers to push the boundaries of science and technology while advancing global health and wellbeing.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$250M
Headquarters
New York, NY
Founded
2008

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