Jobs / United States / Medtronic INC
AI & Digital Finance Transformation Engineer - (On-site) - Minneapolis, MN
Medtronic INC · 🇺🇸 Fridley, Minnesota, United States of America
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 193 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 106 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 Medtronic INC paid sponsored hires in similar roles1 certified filing for “Pr. AI Data Science Engineer” (Molecular and Cellular Biologists) in CA: $127k–$127k, median $127k. 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 — Medtronic INC
The US Department of Labor certified 193 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 106 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 Medtronic INC →
About the role
We anticipate the application window for this opening will close on - 9 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The AI & Digital Finance Transformation team partners with Finance, Information Technology (IT), Data Engineering, and business stakeholders to modernize financial processes through advanced analytics, artificial intelligence (AI), intelligent automation, and cloud-based data platforms. The team develops scalable reporting, forecasting, automation, and decision-support solutions that improve visibility, strengthen financial decision-making, and enhance operational efficiency across the enterprise. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. This position is based in Fridley, Minnesota and follows an onsite work arrangement. Travel up to 10% may be required to support business initiatives, stakeholder collaboration, and project execution. The AI & Digital Finance Transformation Engineer supports the design, development, and deployment of digital finance solutions that leverage cloud data platforms, analytics, automation, and AI technologies. This role collaborates with Finance, IT, Data Engineering, and business stakeholders to build data products, reporting solutions, and intelligent workflows that improve financial operations, reporting accuracy, and business insights. Primary Responsibilities • Drive finance transformation by delivering AI-powered analytics, reporting, and automation solutions that improve decision-making and operational efficiency. • Identify and implement opportunities to streamline finance processes using Generative AI, machine learning, intelligent automation, and agent-based workflows. • Build and support data pipelines, semantic models, dashboards, and reporting solutions using Databricks, Snowflake, PowerBI, and related technologies. • Translate complex finance and business requirements into sustainable technology solutions that enable growth and scalability. • Ensure reliability of finance data and automation platforms through proactive monitoring, troubleshooting, and continuous optimization. • Strengthen data governance, security, and controls while promoting adoption of digital finance tools and best practices. Required Qualifications • Bachelor's degree and 2+ years of experience in finance systems, data analytics, information technology, accounting, or finance technology solutions. • Experience with AI, machine learning, advanced analytics, and automation. • Experience with cloud-based data and analytics platforms. • Proficiency in SQL and Python for data transformation, analytics, reporting, or automation development. • Experience supporting financial reporting, planning, forecasting, or finance operations in a corporate environment. • Experience translating business requirements into scalable technology solutions. Preferred Qualifications • Experience applying AI or machine learning to finance use cases including forecasting, anomaly detection, predictive analytics, natural language