Jobs / United States / Cigna Health And Life Insurance Company
AI Business Partner Senior Principal
Cigna Health And Life Insurance Company · 🇺🇸 United States Work at Home
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 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 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.
- 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 — Cigna Health And Life Insurance Company
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 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 Cigna Health And Life Insurance Company →
About the role
Role Purpose The Senior Principal AI Business Partner (AIBP) is a senior technical and product leader who shapes AI investment, portfolio prioritization, and delivery standards across business units. This role combines executive problem framing with enterprise solution design—setting direction for complex, multi-stakeholder AI programs while remaining credible in architecture and early-stage delivery. Senior Principal AIBPs operate at portfolio and cross-BU scope: they align SBU sponsors, technology leaders, and AI IO delivery teams on where to invest, how to structure engagements, and how to scale what works. They mentor Principal AIBPs and contribute reusable patterns to the enterprise AI operating model. AI-native practice is expected at a leadership level—spec-driven development, agentic tooling, and the judgment to know when to engage hands-on versus when to orchestrate teams and forums. Key Responsibilities Enterprise Problem Framing & Portfolio Prioritization • Partner with SBU executive sponsors and functional leadership across domains to identify fundamental business problems with enterprise-scale AI potential. • Frame AI opportunities with financial, strategic, and technical rigor to enable confident investment decisions at portfolio and SteerCo forums. • Stack-rank and socialize AI initiatives across the portfolio based on value potential, feasibility, execution risk, and strategic alignment. • Provide Gate 1–ready recommendations and executive briefings that support sponsor decision-making. Enterprise AI Solution Design & Standards • Engage CIOs and technology leaders as a credible AI solution architect—contributing to architectural decisions, trade-off analysis, and solution design for the most complex initiatives. • Define and evolve reusable AI patterns, engagement models, and reference architectures adopted across AIBPs and delivery teams. • Shape enterprise build, buy, and adapt decisions with accountability for scale, security, and responsible AI. Product & Specification Leadership at Scale • Set the bar for execution-ready use case definition, specs, and acceptance criteria across programs you sponsor or oversee. • Review and coach Principal AIBPs and initiative teams on product thinking, user value, viability, and iteration paths. • Ensure solutions align with enterprise AI frameworks—not only local strategic fit. Complex Program & Early-Stage Leadership • Lead or oversee the most complex POCs, pilots, and early production efforts—engaging hands-on when risk or novelty requires it, and orchestrating cross-functional teams when scale requires it. • Normalize AI-first development practices across business units; model spec-driven and agentic workflows for the AIBP cohort. • Guide business units through the full AI lifecycle—from discovery and qualification through value realization and transition to run-state. Portfolio Leadership, Mentorship & Cross-Functional Influence • Co-lead portfolio management with PMO and AI Enablement—owning prioritization views, value realization tracking, and escalation paths for at-risk initiatives. • Mentor Principal AIBPs; contribute to hiring bar, onboarding, and capability development for the AIBP function. • Communicate progress, risk, and impact to C-suite and technology executive stakeholders. • Champion adoption of enterprise AI frameworks, governance, and best practices across business and technology teams. Qualifications & Experience Required • Demonstrated technical foundation with at least two of the following: • Formal education in engineering, computer science, data science, or related field • Professional training in AI/ML • Hands-on experience building AI or data-intensive