Jobs / United States / Abbvie INC
Director of Data & AI Products
Abbvie INC · 🇺🇸 Mettawa, IL, US
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 177 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 94 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 Abbvie INC paid sponsored hires in similar roles10 certified filings for “ASSOCIATE DIRECTOR, STATISTICS” (Data Scientists) in IL: $117k–$165k, median $151k. 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).
- 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 — Abbvie INC
The US Department of Labor certified 177 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 94 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 Abbvie INC →
About the role
As Head of Data and AI Technical Product Management, this leader serves as the global Commercial Data & AI technical product leader accountable for the operating model, portfolio strategy, investment trade-offs, product lifecycle, adoption, and product talent buildout for a large, regulated, global commercial data and AI ecosystem. The role builds and scales AbbVie’s Technical Data Product Ownership practice, serving as the IT counterpart to Commercial Business Product Owners and defining how technical data and AI products are discovered, prioritized, funded, built, launched, adopted, supported, measured, modernized, and retired. This leader translates Commercial product roadmaps and data consumer needs into durable, measurable technical product roadmaps while partnering with architecture, engineering, security, privacy, governance, analytics, and business teams. The role establishes the standards, lifecycle discipline, decision rights, adoption practices, funding mechanisms, and performance scorecards needed to move Global Commercial Data and AI from project-based delivery to product-based ownership at enterprise scale. Responsibilities: • Role dimensions: Serve as the global Commercial Data & AI technical product leader, owning the product operating model, multi-year portfolio strategy, investment trade-offs, lifecycle discipline, adoption strategy, and product talent buildout for a large, regulated, global commercial data and AI ecosystem. Lead the technical product roadmap across data products, AI-enabling capabilities, platform services, and self-service experiences aligned to Commercial priorities and enterprise risk expectations. • Role scale: Own a multi-million-dollar annual Commercial Data & AI technical product portfolio supporting 30 commercial data domains, 30+ AI products and platform capabilities, 40+ brands/business units, and 120 countries. Build and scale a direct team of Technical Product Managers and product leaders, with intended responsibility for 10–20 product professionals and influence across 50–100+ matrixed engineering, AI, architecture, governance, analytics, and vendor resources as the organization matures. • Ownership & autonomy: Own the Technical Data Product Management strategy, operating model, and product lifecycle for Commercial Data and AI capabilities, with accountability from discovery and roadmap integration through launch, adoption, support, versioning, modernization, and retirement. Partner with enterprise architecture, engineering, security, privacy, and governance leaders to make product trade-offs and ensure technical decisions align to business value, risk posture, and platform strategy. • Decision-making: Accountable for product strategy, prioritization, roadmap trade-offs, adoption goals, lifecycle decisions, and value/risk recommendations for technical data and AI products. Define decision rights and working models with Commercial Business Product Owners and partners with architecture, engineering, security, privacy, and governance leaders on technical standards, risk acceptance, and compliance-by-design. • Scope: Drive Global Commercial Data & AI technical product strategy across 40+ brands/business units, 120 countries, and hundreds of businesses, analytics, technology, and governance stakeholders. Partner with adjacent enterprise functions where Commercial data and AI products intersect, while maintaining clear primary accountability for the Commercial technical product ecosystem. • Budget & investment: Own the annual engineering and technical portfolio budget and investment model; develop technical business cases, allocate funding across engineering initiatives, manage compute/cost-to-serve, and ensure vendor/partner spend aligns to product outcomes, architectur