Engineering Director, Preanalytics Solutions

Abbott•Lake Forest, CA

4d•Onsite

About The Position

Abbott is seeking a transformational engineering executive to lead the global systems engineering, software engineering, architecture, cybersecurity, cloud engineering, data engineering, DevOps, quality engineering, and user experience organizations responsible for the AlinIQ preanalytics portfolio, including AlinIQ Indexor. This leader will define and execute the technology strategy for next-generation pre-analytical laboratory automation solutions that optimize specimen flow, laboratory efficiency, throughput, quality, and clinical operations. The successful candidate will partner closely with Product Management, Regulatory Affairs, Quality, Operations, Mechanical Engineering, Electrical Engineering, and Commercial organizations to deliver an integrated software and automation ecosystem connecting track systems, robotics, analyzers, middleware, laboratory information systems, enterprise healthcare applications, and cloud-based platforms.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline.
Fifteen or more years of progressive software engineering and technology leadership experience, including responsibility for enterprise hardware, embedded, and software platforms, architecture, and product development.
Ten or more years of experience leading large global engineering organizations across software engineering, systems engineering, architecture, cybersecurity, cloud operations, DevOps, quality engineering, and platform engineering disciplines.
Five or more years of experience working with onshore and offshore development teams with a history of effective collaboration and outcomes-based partnership.
Demonstrated success delivering complex hardware-software integrated systems in diagnostics, healthcare, laboratory automation, industrial automation, robotics, manufacturing automation, or similarly regulated industries.
Subject matter expertise in RFID, barcode, Bluetooth, near-field communications, WiFi, GPS and other technologies.
Deep expertise across client-server, service-oriented, distributed, event-driven, microservices, hybrid cloud, edge computing, and cloud-native SaaS architectures.
Significant experience driving legacy modernization, digital transformation, technical debt reduction, platform consolidation, and cloud migration initiatives.
Extensive experience with SQL (e.g. PostgreSQL) and No-SQL database systems, telemetry platforms, enterprise data architectures, and analytics environments.
Strong knowledge of Agile development, DevOps, DevSecOps, Infrastructure as Code, Continuous Integration, Continuous Delivery, automated testing, and release automation practices.
Proven experience establishing secure software development lifecycle practices including threat modeling, vulnerability management, penetration testing, identity management, and cybersecurity governance.
Demonstrated experience protecting PHI, PII, and sensitive customer and healthcare information while meeting global privacy and cybersecurity requirements.
Experience operating within regulated product development environments supporting design controls, risk management, requirements traceability, verification and validation, configuration management, and audit readiness.
Exceptional executive communication, financial management, stakeholder leadership, organizational design, workforce planning, and talent development capabilities.

Nice To Haves

Master’s degree or PhD in Computer Science, Software Engineering, Systems Engineering, Robotics, Automation Engineering, Artificial Intelligence, Data Science, or a related discipline.
Experience leading engineering organizations supporting laboratory diagnostics, laboratory automation, pre-analytical automation, healthcare informatics, medical devices, or digital health platforms.
Deep expertise in pre-analytical laboratory workflows including specimen accessioning, sorting, transportation, routing, storage, tracking, and workflow optimization.
Strong understanding of digital transformation in laboratory medicine, including connected diagnostics, intelligent laboratory workflows, operational analytics, interoperability, automation, and workflow orchestration technologies.
Experience integrating analyzers, automation systems, robotic workcells, Laboratory Information Systems, middleware platforms, EMR and EHR systems, and enterprise healthcare applications.
Expertise with HL7, FHIR, API-driven interoperability, and healthcare integration frameworks.
Experience building and scaling cloud-native SaaS healthcare platforms and connected digital ecosystems.
Demonstrated success implementing Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, predictive analytics, digital twin technologies, and intelligent automation solutions.
Strong understanding of user-centered design, usability engineering, accessibility, and workflow-focused customer experience design.
Knowledge of IEC 62304, ISO 13485, ISO 14971, FDA Quality System Regulations, EU MDR, and healthcare cybersecurity guidance.
Experience building high-performing global engineering cultures focused on innovation, accountability, quality, customer success, operational excellence, and continuous improvement.

Responsibilities

Define and execute the long-term technology strategy and architecture roadmap for the preanalytics portfolio, ensuring alignment with business objectives, customer needs, and emerging laboratory automation trends.
Lead modernization initiatives spanning legacy hardware/software platforms, systems, edge computing solutions, hybrid architectures, and cloud-native SaaS offerings.
Drive firmware, embedded and user-facing software, systems, cloud, cybersecurity, data, and platform engineering excellence across globally distributed development organizations.
Oversee development of workflow orchestration, specimen routing, automation control, robotics integration, telemetry, operational analytics, and interoperability capabilities.
Lead implementation of world-class DevOps, DevSecOps, CI/CD, quality engineering, site reliability engineering, and software lifecycle management practices.
Advance AI, machine learning, predictive analytics, digital twin, and intelligent automation initiatives that improve laboratory throughput, utilization, and operational efficiency.
Ensure secure handling of PHI, PII, operational data, and healthcare information through secure-by-design and privacy-by-design engineering principles.