About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Director - Autonomous Labs Architect based in the United States.
Responsibilities
- Define and govern the enterprise architecture, technology standards, and reusable design patterns for autonomous and AI-enabled laboratory systems.
- Establish clear architectural requirements and governance frameworks that promote consistency, interoperability, scalability, and long-term technology sustainability.
- Develop and influence multi-year strategies for autonomous laboratories, ensuring emerging technologies are translated into practical enterprise capabilities.
- Architect interoperability and integration across scientific instruments, laboratory automation, robotics, informatics platforms, AI agents, data layers, software systems, and external technologies.
- Guide system, software, workflow, and data architecture decisions across complex, mixed-vendor laboratory environments.
- Ensure internal autonomous-lab initiatives become reusable enterprise capabilities, standards, and reference architectures rather than isolated implementations.
- Partner with operating companies, enterprise functions, customers, strategic technology partners, industry consortia, and scientific organizations to drive alignment and adoption.
- Translate enterprise strategy into scalable execution while connecting technical architecture decisions to measurable business outcomes.
- Influence product strategy and potential commercial offerings across multiple operating companies.
- Serve as a senior internal and external thought leader on autonomous laboratories, AI-enabled experimentation, laboratory architecture, and technology strategy.
- Evaluate emerging technologies and ecosystem developments to inform long-term architecture and investment decisions.
- Build strong relationships across scientific, engineering, technology, and business communities while promoting continuous improvement and scalable innovation.
- Travel approximately 40% to support strategic partnerships, business initiatives, customer engagement, and ecosystem activities.
Requirements
- Advanced degree in Systems Engineering, Computer Science, Robotics, Physical Sciences, Life Sciences, or a related discipline.
- 7+ years of experience in systems architecture, digital laboratories, laboratory automation, scientific instrumentation, platform architecture, or closely related fields.
- Proven experience defining and implementing enterprise architecture, technology standards, and governance models across products, platforms, workflows, or complex enterprise environments.
- Demonstrated success working across multiple business units or enterprise functions and translating strategic objectives into scalable execution and measurable outcomes.
- Strong understanding of architecture across scientific instruments, AI, data platforms, automation, scientific software, laboratory workflows, and technology ecosystems.
- Experience collaborating with external ecosystem participants such as automation vendors, scientific software providers, AI and computing platforms, data-platform providers, and strategic technology partners.
- Product, platform, or architecture leadership experience with the ability to balance customer needs, scientific workflows, technical feasibility, enterprise scalability, and business impact.
- Strong strategic thinking and systems-level problem-solving skills, with the ability to connect complex technical decisions to organizational objectives.
- Excellent communication and stakeholder-influence skills, including the ability to engage senior executives, technical leaders, scientists, customers, and external partners.
- Experience with autonomous labs, self-driving laboratories, autonomous instruments, or AI-driven experimental workflows is highly desirable.
- Familiarity with laboratory informatics and digital laboratory platforms, including LIMS, ELN, scientific data platforms, and instrument connectivity solutions is a plus.
- Experience with life sciences workflows such as flow cytometry, antibody discovery, cell biology, assay development, or bioprocessing is advantageous.
- Experience translating scientific AI concepts into practical laboratory products, workflows, or customer-facing solutions is preferred.
- Familiarity with continuous improvement methodologies and operating systems is a plus.
Conditions
- Annual salary: $230,000–$290,000, with the potential for the range to change in the future.
- Eligibility for bonus/incentive compensation.
- Fully remote work arrangement from a home office within the United States.
- Comprehensive medical, dental, and vision insurance for eligible employees.
- 401(k) retirement benefits.
- Paid time off and other comprehensive benefits.