Abbott Posted October 9, 2026

Engineering Director, Digital Platform

Lake Forest, Illinois, United States FULL_TIME
Data & Digital Director
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About this opportunity

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

WORKING AT ABBOTT:

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

Career development with an international company where you can grow the career you dream of

Free medical coverage for employees* via the Health Investment Plan (HIP) PPO

An excellent retirement savings plan with high employer contribution

Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree

A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune

A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists

 

THE OPPORTUNITY

Abbott is seeking a visionary technology leader to lead the global platform software engineering organization responsible for the AlinIQ Digital Health Platform. This role owns engineering execution, platform architecture, cloud strategy, cybersecurity, interoperability, AI enablement, data platforms, developer experience, and operational excellence across the foundational technology ecosystem supporting Abbott Diagnostics’ operational and clinical digital solutions, including AlinIQ Insight.

REQUIRED QUALIFICATIONS

·         Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Biomedical Engineering, Electrical Engineering, or a related technical discipline, with a strong foundation in software architecture, distributed systems, cloud computing, and enterprise-scale software development.

·         Fifteen or more years of progressively responsible experience in software engineering, platform engineering, enterprise architecture, cloud technologies, or digital product development, including leadership responsibility for large, mission-critical software platforms.

·         Ten or more years of experience leading global engineering organizations comprising software engineers, architects, cloud engineers, data engineers, DevOps engineers, cybersecurity professionals, quality engineers, and technical program leaders across multiple geographic regions.

·         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 architecting, building, deploying, and operating enterprise-grade SaaS, cloud-native, hybrid-cloud, and data-intensive platforms supporting large-scale commercial software products and digital ecosystems.

·         Proven experience developing platform capabilities and shared services that enable multiple product teams to accelerate delivery through reusable infrastructure, platform APIs, identity services, data services, and developer tooling.

·         Deep expertise in cloud-native architectures, microservices, containerization, Kubernetes, distributed systems, API-first development, event-driven architectures, platform engineering, and modern software design patterns.

·         Significant experience leading modernization initiatives that transform legacy applications, client-server systems, and monolithic architectures into scalable, resilient, and highly available cloud-native solutions.

·         Five or more years of experience leading a team of User Experience (UX) and product designers with deep understanding of modern design system principles, and human factors.

·         Strong working knowledge of Azure, AWS, or Google Cloud platforms, including cloud operations, observability, Infrastructure as Code, automation frameworks, resilience engineering, and platform reliability practices.

·         Extensive experience implementing Agile development methodologies, DevOps, DevSecOps, Continuous Integration, Continuous Delivery, automated testing, release engineering, and software lifecycle management processes.

·         Demonstrated expertise in data engineering, enterprise data platforms, including Oracle, PostgreSQL, SQL Server, No SQL and cloud-native databases, data lakes, data warehouses, data governance, and advanced analytics infrastructures.

·         Proven experience establishing secure software development lifecycle practices including threat modeling, vulnerability management, penetration testing, software supply chain security, identity and access management, and cloud security controls.

·         Demonstrated experience designing and operating systems that protect Protected Health Information (PHI), Personally Identifiable Information (PII), and sensitive healthcare data through security-by-design and privacy-by-design principles.

·         Strong understanding of healthcare privacy, cybersecurity, and compliance requirements, including HIPAA, GDPR, auditability requirements, encryption standards, data governance, and access management controls.

·         Experience developing and delivering regulated software products within healthcare, diagnostics, medical devices, life sciences, or similarly regulated industries, with knowledge of design controls, risk management, verification and validation, traceability, and audit readiness.

·         Exceptional executive communication, strategic thinking, organizational leadership, talent development, financial planning, vendor management, and stakeholder management skills, with the ability to influence decisions at the executive level.

PREFERRED QUALIFICATIONS

·         Master’s degree, or Ph.D. in Computer Science, Software Engineering, Engineering Management, Artificial Intelligence, Data Science, Information Systems, or a related discipline.

·         Experience leading engineering organizations supporting Digital Health Platforms, Healthcare Informatics, Laboratory Diagnostics Informatics, Healthcare IT, Medical Devices, Clinical Software, Connected Diagnostics, or Enterprise Healthcare Ecosystems.

·         Deep understanding of digital healthcare transformation, including cloud-based healthcare platforms, interoperability services, analytics platforms, remote diagnostics, connected care, and software-enabled clinical workflows.

·         Experience establishing enterprise platform strategies that support multiple product portfolios through shared cloud services, common architectures, developer platforms, reusable components, and standardized engineering practices.

·         Expertise in healthcare interoperability standards and integration frameworks including HL7, FHIR, DICOM, REST APIs, API gateways, event streaming technologies, and healthcare data exchange platforms.

·         Demonstrated success developing enterprise data platforms that support diagnostics intelligence, healthcare analytics, workflow optimization, operational reporting, and AI-enabled decision support capabilities.

·         Experience implementing Artificial Intelligence, Machine Learning, Generative AI, predictive analytics, intelligent automation, and advanced decision-support capabilities within regulated healthcare environments.

·         Experience establishing enterprise AI governance frameworks addressing explainability, validation, model risk management, privacy, security, bias mitigation, and responsible AI practices.

·         Strong understanding of user-centered design, usability engineering, accessibility standards, design systems, and developer experience practices that improve adoption and platform effectiveness.

·         Knowledge of IEC 62304, ISO 13485, ISO 14971, FDA Quality System Regulations, EU MDR, and global healthcare cybersecurity guidance applicable to software-intensive medical technologies.

·         Experience creating internal developer platforms and engineering enablement capabilities that improve engineering productivity, reliability, deployment velocity, and operational excellence across large organizations.

·         Demonstrated success building and transforming high-performing global engineering organizations focused on innovation, accountability, customer success, continuous improvement, technical excellence, and measurable business outcomes.

The base pay for this position is $171,300.00 – $342,700.00. In specific locations, the pay range may vary from the range posted.

Job details

Seniority
Director
Function
Data & Digital
Therapeutic area
Not listed
Location
Lake Forest, Illinois, United States
Employment type
FULL_TIME

How this role compares

Computed from every other active Data & Digital role in our database, not just this employer's listings.

We currently track 129 comparable Director Data & Digital roles across 39 biopharma companies.

129Comparable roles tracked
124Currently active
39Companies hiring similar roles
14Countries represented

Salary context

62 of 129 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Lowest disclosed · Principal Data Engineer · Johnson & Johnson $102,000/yr – $170,000/yr
Highest disclosed · Senior Director, Market Analytics Business Insights · AbbVie $206,500/yr – $393,000/yr
Peer group range $136,000 – $299,750 (median $237,050)

Where these roles are based

Top locations among the 129 comparable roles

United States88
United Kingdom9
India8
Spain6
Germany6
Israel4

+ 8 more countries

Seniority mix

129 of 129 peers have a known seniority level

Director63
Principal53
Senior Director13

Therapeutic area mix

5 of 129 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology2
Oncology2
Cardiovascular / CVRM1

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.