Senior Staff Digital Design & Product Owner

Abbott

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$130,700–$261,300 / yr
Employment
Full-time
Posted
27 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $196k
$115k most similar roles pay here $277k

This role pays less than 58% of similar roles. Most pay $177,250–$241,750 — the shaded band above. At the midpoint, this role pays about $196k versus about $210k 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 126 open roles on FindRole.

Listed pay typically runs $88,350–$176,650 across 100 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Senior Staff Digital Design & Product Owner

The Senior Staff Digital Design & Product Owner joins the Infectious Diseases Group to lead the strategy, design, and delivery of connected healthcare solutions. This role focuses on integrating diagnostic technologies with clinical workflows and healthcare information systems. You will manage product roadmaps, backlogs, and execution while partnering with engineering and clinical stakeholders to build portals, dashboards, and tools that integrate with EMR/EHR systems, laboratory information systems, and middleware. The position requires expertise in user-centered design, UX/UI, and customer discovery to translate complex needs into technical requirements. Key technical competencies include proficiency with Figma, HL7, FHIR, APIs, and ASTM standards for healthcare data exchange. You will solve critical connectivity problems by ensuring products meet regulatory, privacy, and cybersecurity requirements while navigating the complexities of diagnostic instruments and large-scale health system integrations within a regulated medical environment.

What you'll do

  • Lead the strategy, design, and delivery of connected healthcare solutions integrating diagnostic technologies with clinical workflows.
  • Own the product roadmap, backlog, and execution for digital healthcare and connectivity products.
  • Conduct customer discovery with physicians and health systems to assess value propositions and pricing models.
  • Design user-centered digital experiences including portals, dashboards, and clinician-facing applications.
  • Translate business needs into technical requirements, user stories, acceptance criteria, and release plans.
  • Drive integration initiatives involving EMR/EHR systems, LIS platforms, and healthcare data exchange protocols.
  • Define and prioritize connectivity capabilities using HL7, FHIR, APIs, and other interoperability standards.
  • Ensure all digital products meet regulatory, privacy, cybersecurity, and quality requirements.

What we're looking for

  • Bachelor's degree in Engineering, Product Management, Human-Computer Interaction, UX/Product Design, Healthcare Informatics, Computer Science, or a related STEM field.
  • Minimum 10 years of experience in product management, digital product design, and technical leadership for healthcare or connectivity products.
  • Experience as a product manager or owner translating business needs into roadmaps, backlogs, user stories, and release plans.
  • Expertise in user-centered design, workflow design, UX/UI, customer discovery, and usability testing.
  • Proficiency with Figma or equivalent tools for designing dashboards, portals, information architectures, and data visualizations.
  • Experience with healthcare interoperability standards including HL7, FHIR, ASTM, APIs, and middleware.
  • Hands-on experience with EMR/EHR platforms, LIS products, and diagnostic laboratory workflows.
  • Experience defining governed data foundations for analytics and AI-enabled products, including data models and metadata.

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