Director, Intelligent Instruments & Automation

Danaher Corporation

3d•$200,000 - $230,000•Remote

About The Position

The Director, Intelligent Instruments & Automation advances enterprise capabilities to scale intelligent scientific workflows, interoperable laboratory systems, autonomous workcells, and compute architectures that enable AI-enabled and autonomous laboratory solutions across Danaher. The role translates enterprise strategy into scalable standards, reference architectures, deployment models, and customer-facing capabilities in partnership with operating companies, enterprise teams, customers, and strategic technology partners. This remote position is part of Danaher Corporate Science & Technology and reports to the VP and Enterprise Head of Autonomous and Intelligent Labs. The Director defines enterprise requirements and roadmaps for automation-ready instruments, APIs, data models, connectivity, workflow integration, intelligent workflows, autonomous workcells, and lab-in-the-loop experimentation. The role also establishes scalable approaches to smart compute and edge AI, evaluates edge, local, cloud, and hybrid architectures, and develops validated capabilities into customer and commercial solutions. The Director aligns execution across businesses and engages external partners to accelerate delivery, avoid duplication, and guide technology and platform decisions.

Requirements

Experience leading complex technical programs in laboratory automation, scientific instrumentation, workflow software, AI-enabled systems, digital platforms, or related technologies.
Experience integrating hardware, software, automation, data, AI, and scientific methods into reliable products, workflows, or platforms.
Knowledge of instrument APIs, SDKs, and laboratory interoperability.
Track record of translating emerging technologies and internal innovation into scalable solutions and measurable business value, spanning strategy, architecture, validation, deployment, adoption, and commercialization.
Experience leading cross-functional and cross-business initiatives across technical disciplines and organizational boundaries, aligning product, engineering, scientific, commercial, and executive stakeholders.
Working knowledge of established and emerging laboratory standards and protocols, including MHS, MCP, SiLA 2, and OPC UA/LADS, and ability to assess applicability, maturity, architecture implications, and implementation trade-offs.

Responsibilities

Define and drive enterprise requirements for automation-ready instruments, APIs, data models, connectivity, and workflow integration.
Evaluate and apply laboratory standards and protocols, including MHS, MCP, SiLA 2, OPC UA/LADS, and ANSI/SLAS standards, as appropriate to devices, modalities, and customer environments.
Translate interoperability requirements into product roadmaps, reusable interfaces, and testable implementation criteria while preserving proprietary capabilities and commercial flexibility.
Define and govern the enterprise roadmap for intelligent workflows, autonomous workcells, and lab-in-the-loop experimentation.
Connect scientific workflows, automation platforms, instruments, data systems, and AI into reliable integrated solutions, reusable architectures, and deployment playbooks.
Define the enterprise smart compute strategy for intelligent instruments, integrated workflows, AI-enabled analysis, and autonomous laboratories.
Evaluate edge, local, cloud, and hybrid compute approaches across latency, security, reliability, cost, and deployment requirements, and establish repeatable architectures.
Use internal laboratories and strategic programs to develop, test, and mature capabilities under real operating conditions.
Partner across product, engineering, scientific, and commercial teams to turn validated capabilities into external products, workflows, workcells, services, and reusable technology foundations.
Align priorities, investment, roadmaps, ownership, adoption, and measurable outcomes across operating companies and business units.
Engage strategic technology partners, research organizations, suppliers, and industry collaborators to accelerate delivery, reduce duplication, strengthen differentiation, and inform build, buy, partner, and platform decisions.