Jobs / United States / Abbott Laboratories
Manager Data Analytics
Abbott Laboratories · 🇺🇸 United States - California - Alameda
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. USCIS also records 28 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles1 certified filing for “IT BUSINESS RELATIONSHIP MANAGER - DATA AND ANALYTICS” (Information Technology Project Managers) in IL: $146k–$146k, median $146k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Abbott Laboratories
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. USCIS also records 28 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Abbott Laboratories →
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: Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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. • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. • An excellent retirement savings plan with a 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position is an onsite opportunity within the Abbott Diabetes Care Division in Alameda, California. We are helping people with diabetes lead healthier, happier lives. As a global leader in diabetes care, Abbott is committed to delivering innovative products, superior quality, and exceptional support to customers worldwide. Continuous glucose monitoring is transforming diabetes management, and our Procurement team plays a critical role in enabling innovation, supply continuity, and cost competitiveness across our portfolio. The Manager, Data Analytics leads a team of data professionals, including Data Analysts, Data Scientists, and Data Engineers, driving the development and execution of Artificial Intelligence (AI) and data analytics strategies that support business objectives and digital transformation initiatives. This role oversees critical data projects, fosters cross-functional and vendor partnerships, and ensures effective management of data warehouses, data lakes, and governance standards. By leveraging advanced analytical tools and techniques, the Manager transforms complex and diverse data sources into actionable insights, enabling data-driven decision-making and delivering measurable business impact. Up to 25% travel, including domestic and international This is an onsite opportunity in Alameda, CA. What You’ll Work On • Lead and develop a team of Data Analysts, Data Scientists, Data Engineers, and related professionals, providing direction, coaching, and performance feedback. • Oversee day-to-day team operations, resource allocation, and project execution to ensure timely and effective delivery of analytics solutions. • Support the development and implementation of data analytics strategies and digital transformation initiatives that align with business objectives. • Partner with business leaders, cross-functional teams, and external vendors to identify opportunities, drive adoption of data-driven solutions, and deliver business value. • Manage the planning and execution of business data projects, including project plans, milestones, risks, dependencies, and resource needs. • Serve as a key analytics partner to stakeholders, communicating insights and recommendations that support decision-making. • Apply and uphold data governance standards, supporting data quality, integrity, security, and effective management of enterprise data assets. • Leverage AI, analytical tools