Engineering Director, Workflow Management Solutions, Digital Health

Abbott

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Lake Forest, IL
Salary: $149,300–$298,700 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $244k

This role $224k

$131k $317k

below market most similar roles pay here above market

This role pays less than 66% of similar roles. Most pay $199,350–$288,150 — the blue band above. At the midpoint, this role pays about $224k versus about $244k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 152 open roles on FindRole.

Listed pay typically runs $90,000–$180,000 across 105 roles with salary data.

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At a glance

TL;DR · Engineering Director, Workflow Management Solutions, Digital Health

Role Posting Log in to save

Engineering Director, Workflow Management Solutions, Digital Health leads the global software engineering, architecture, cybersecurity, platform engineering, data, AI, DevOps, quality engineering, and user experience organizations for the AlinIQ Workflow Management portfolio. This leader defines and executes the technology strategy for a connected laboratory informatics ecosystem, managing legacy enterprise platforms, client-server applications, hybrid architectures, and cloud-native SaaS solutions. Key responsibilities include leading application modernization, establishing engineering governance, and ensuring compliance with global healthcare regulations. The role requires expertise in Oracle, PostgreSQL, Azure, AWS, Kubernetes, Docker, and Site Reliability Engineering. Candidates must navigate complex laboratory diagnostics, integrating laboratory analyzers, middleware, and EMR systems using HL7, FHIR, and REST APIs. The work focuses on solving laboratory automation, workflow orchestration, and analyzer connectivity problems within a regulated digital health environment.

Skills

Azure AWS Kubernetes Docker PostgreSQL Oracle CI/CD DevOps DevSecOps Microservices REST APIs HL7 FHIR Machine Learning Generative AI SaaS Site Reliability Engineering Observability Agile Lean Threat Modeling Encryption

What you'll do

Define and execute the global technology strategy for the AlinIQ Workflow Management portfolio.
Lead global engineering organizations across software, architecture, cybersecurity, data, AI, and DevOps.
Manage the full product lifecycle from initial concept and development through commercialization and end-of-life.
Oversee application modernization initiatives to migrate legacy systems to cloud-native platforms.
Establish engineering governance, architecture review boards, development standards, and operational metrics.
Implement secure software development lifecycle practices and cybersecurity controls to protect sensitive healthcare information.
Ensure all software products comply with global healthcare regulations, including HIPAA, GDPR, and FDA Quality System Regulations.
Drive the integration of AI, machine learning, and advanced analytics into enterprise software products.

What we're looking for

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline.
Fifteen or more years of progressively responsible software engineering experience including architecture, product development, and technology leadership.
Ten or more years of experience leading global engineering organizations across software engineering, architecture, DevOps, cybersecurity, and quality engineering.
Five or more years of experience working with onshore and offshore development teams.
Proven track record of delivering enterprise software platforms through the full lifecycle from concept to end-of-life planning.
Demonstrated expertise in client-server, microservices, hybrid cloud, and cloud-native SaaS architectures.
Deep understanding of Agile, DevOps, CI/CD, and software quality engineering best practices.
Experience with Oracle, PostgreSQL, Azure, AWS, Kubernetes, Docker, and secure software development lifecycle practices.

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