Jobs / United States / Abbott Laboratories

Abbott Laboratories

Director - Product Insights & Platform Intelligence- ADC

United States > Alameda : 2601 Harbor Bay Parkway Posted today

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Skills this job asks for

Product managementElectronic health recordsProcurement

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 73 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Abbott Laboratories paid sponsored hires in similar roles4 certified filings for “Director, IT Architecture” (Computer and Information Systems Managers) in IL: $188k–$205k, median $197k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 73 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Abbott Laboratories paid sponsored hires in similar roles
4 certified filings for “Director, IT Architecture” (Computer and Information Systems Managers) in IL: $188k–$205k, median $197k. Most were filed at wage level IV (50%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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. JOB DESCRIPTION: Role Description: The Director, Product Management — Product Insights & Platform Intelligence will define and lead the cross-product vision, strategy, roadmap, and lifecycle management for data-driven, analytics-enabled, and AI-enabled insights across Abbott Diabetes Care’s digital ecosystem. This role will establish a coherent product insight strategy spanning the Libre app, LibreView, and EHR-connected workflows. The Director will identify high-value opportunities to transform authorized glucose, device, and contextual data into clear, trustworthy, evidence-based insights for people using Libre, healthcare professionals, care teams, and health-system partners. The role owns the shared insight layer —including insight strategy, portfolio prioritization, product requirements, data/model capability needs, evaluation criteria, shared platform capabilities, and value realization.  This role work s in close partnership with the Directors of Consumer Product and HCP Product, who lead their respective product experiences, workflows, user interfaces, content, and channel roadmaps. This collaborative structure promotes strong alignment and a cohesive experience across channels. This role partners with them to ensure insights are consistent, reusable, evidence-backed, and appropriately adapted for each audience. The Director will also lead product strategy for evaluating, building, licensing, and integrating third-party data, analytics, AI, and machine-learning capabilities. The role is accountable for strategic and product fit, while technical, clinical, quality, regulatory, privacy, security, legal, procurement, and supplier-approval decisions remain subject to applicable functional ownership and governance. Key Responsibilities 1. Platform intelligence product vision and portfolio strategy • Define and communicate the multi-year vision, product strategy, and roadmap for platform intelligence, analytics, and AI-enabled insights across the Libre digital ecosystem. • Establish a unified strategy for reusable insight capabilities supporting: • Consumer-facing experiences in the Libre app and LibreLinkUp • HCP and care-team workflows in LibreView • Health-system, interoperability, and EHR-connected workflows • Ensure the product insight portfolio supports a cohesive ecosystem experience and avoids duplicative, conflicting, or inconsistent analytics across products. 2. Shared platform insight platform and product requirements • Define product requirements for shared platform insight-generation capabilities, including: • Intended users, needs, and expected decisions or actions • Data inputs, provenance, quality, recency, and minimum data-sufficiency thresholds • Insight logic, output format, explanation requirements, and confidence signaling • User controls, permissions, consent, and data-sharing considerations • Interoperability, API, reliability, scalability, latency, and availability requirements • Monitoring, auditability, and lifecycle-management expectations • Establish common definitions, taxonomy, and governance for concepts such as insights, patterns, baselines, trend changes, data quality, confidence, and outcome metrics. • Partner with Software Engineering, Data Science, Data Engineering, Architecture, and UX to develop scalable and reusable platform capabilities rather than channel-specific point solutions. • Ensure insights include appropriate supporti

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