Accountabilities:

Define and drive enterprise-wide strategies for intelligent laboratory instruments, automation-ready systems, and laboratory interoperability, establishing standards for APIs, data models, connectivity, and workflow integration.
Lead the development and execution of integrated autonomy strategies, including intelligent scientific workflows, autonomous workcells, and lab-in-the-loop experimentation.
Establish scalable reference architectures and deployment frameworks that connect scientific instruments, automation platforms, data systems, and AI technologies into reliable integrated solutions.
Develop the enterprise smart compute and edge AI strategy, evaluating edge, local, cloud, and hybrid computing architectures based on performance, latency, security, reliability, cost, and deployment requirements.
Drive the adoption of laboratory interoperability standards and protocols, including MHS, MCP, SiLA 2, OPC UA/LADS, and ANSI/SLAS, ensuring alignment with different instruments, applications, and customer environments.
Translate technical requirements and emerging innovations into product roadmaps, reusable interfaces, implementation standards, and scalable technology foundations.
Leverage internal laboratories and strategic innovation programs to test, validate, and mature new technologies under real-world operating conditions.
Collaborate with product, engineering, scientific, and commercial teams to transform validated capabilities into customer-facing products, workflows, services, and autonomous laboratory solutions.
Lead cross-functional and cross-business initiatives, aligning strategic priorities, investments, roadmaps, ownership, and measurable outcomes across multiple business units.
Build and manage relationships with technology partners, research organizations, suppliers, and industry collaborators to accelerate innovation and strengthen technological differentiation.
Evaluate strategic build, buy, partner, and platform opportunities to reduce integration complexity, avoid duplicated efforts, and unlock new commercial opportunities.

Requirements

Demonstrated experience leading complex technical programs in laboratory automation, scientific instrumentation, workflow software, AI-enabled systems, digital platforms, or related technology environments.
Proven ability to integrate hardware, software, automation, data, artificial intelligence, and scientific methodologies into reliable products, workflows, and technology platforms.
Strong understanding of laboratory interoperability, instrument APIs, software development kits (SDKs), and connected scientific systems.
Experience translating emerging technologies and internal innovation into scalable solutions with measurable business impact, covering strategy, architecture, validation, deployment, adoption, and commercialization.
Working knowledge of established and emerging laboratory standards and protocols, including MHS, MCP, SiLA 2, and OPC UA/LADS, with the ability to evaluate their maturity, applicability, architectural implications, and implementation trade-offs.
Strong strategic thinking and technical leadership capabilities, with the ability to develop enterprise roadmaps, define scalable architectures, and drive complex technology transformations.
Demonstrated experience managing cross-functional and cross-business initiatives, bringing together product, engineering, scientific, commercial, and executive stakeholders.
Excellent communication, stakeholder management, and collaboration skills, with the ability to influence decision-makers and align diverse teams around shared objectives.
Strong problem-solving and decision-making abilities, combined with a practical approach to turning complex technical concepts into scalable business solutions.
Ability to operate effectively in a global, multidisciplinary environment and manage multiple strategic priorities while maintaining focus on measurable outcomes.

Benefits

Annual base salary: $200,000–$230,000, depending on qualifications and experience.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1