Jobs / United States / General Motors Company

General Motors Company

Performance Intelligence Strategist, Chevy

2 Locations Posted today

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Skills this job asks for

Inventory managementTranslationBudgetingExcelReconciliationSEOCRMLeadership

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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 606 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 General Motors Company paid sponsored hires in similar roles9 certified filings for “Artificial Intelligence Machine Learning Scientist” (Robotics Engineers) in CA: $190k–$220k, median $210k.
  • 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 606 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 General Motors Company paid sponsored hires in similar roles
9 certified filings for “Artificial Intelligence Machine Learning Scientist” (Robotics Engineers) in CA: $190k–$220k, median $210k. Most were filed at wage level IV (56%) — 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

Job Description The Performance Marketing Strategy & Business Intelligence team serves as a group of “data detectives” for GM Marketing. The team combines complex, disparate business, marketing, media, website, audience, funnel, inventory, pricing, incentive, demand, competitive, and marketplace data to explain performance, identify opportunities, and create executive-ready narratives that drive action.  The Performance Intelligence Strategist, Chevy is a blended strategy, analytics, and storytelling role. This individual personally leads complex analyses and workstreams, translating granular findings into clear insights for marketing leaders and cross-functional partners. The role requires intellectual curiosity, strong business judgment, hands-on analytical expertise, and the ability to influence decisions through compelling, evidence-based narratives.  What You’ll Do: Performance Analysis and Business Diagnosis   • Integrate media and marketing (site, paid, owned, media) with business (inventory, pricing, incentive, demand, competitive) to create a connected tip to tail view of GM’s marketing performance.  • Interrogate data at granular levels—including channel, campaign, audience, creative, geography, nameplate, funnel stage, inventory condition, offer, and time period—to identify meaningful patterns and exceptions.  • Conduct multiple levels of root-cause analysis to explain performance drivers, anomalies, risks, and opportunities.  • Reconcile conflicting data sources, validate definitions and methodologies, pressure-test assumptions, and clearly identify limitations.  • Build analytical models and frameworks that support scenario planning, forecasting, prioritization, and investment decisions.  Executive Narratives and Strategic Recommendations   • Translate complex analysis into concise, executive-ready narratives that clearly explain what happened, why it happened, what it means, and what actions should consider.  • Connect detailed marketing findings to broader brand, customer, commercial, and enterprise priorities.  • Develop presentations, performance narratives, and decision frameworks tailored to senior marketing and cross-functional audiences.  • Deliver clear recommendations with defined implications, tradeoffs, risks, and expected outcomes.  Hands-On Analytics and Measurement   • Be a data detective. Build and maintain simple Excel models and become super users of existing dashboards, scorecards, reconciliations, and diagnostic views while continuing to investigate the underlying data.  • Perform direct, hands-on analysis using advanced Excel and relevant analytics and visualization tools.  • Evaluate data quality, source consistency, metric definitions, and measurement approaches before drawing conclusions.  • Partner with centralized analytics, data science, technology, and agency teams to scope customer, bespoke analytics not available in raw data or dashboards today.  • Develop repeatable approaches that improve analytical rigor, transparency, speed, and decision usefulness.  Integrated Performance Marketing Strategy   • Assess performance across paid media, SEO, CRM, marketing intelligence, website optimization, audience planning, and funnel optimization.  • Connect channel-level indicators to customer behaviors, commercial outcomes, and marketplace conditions.  • Identify opportunities to improve audience strategy, media effectiveness, website experiences, lead progression, conversion, retention, and overall funnel performance.  Cross-Functional Leadership and Influence   • Partner across Marketing, Media, CRM, Digital, Sales, Finance, Research, Data Science, Technology, agencies, and other business functions.  • Ask constructive questions, challenge assumptions respectfully, and pro

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