Jobs / United States / Cigna Health And Life Insurance Company
Enterprise Architecture Senior Principal – Data, APIs, and Integration Architecture
Cigna Health And Life Insurance Company · 🇺🇸 4 Locations
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.
- What Cigna Health And Life Insurance Company paid sponsored hires in similar roles2 certified filings for “Data Science Advisor” (Data Scientists) in CT: $123k–$140k, median $132k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% 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.
Or apply yourself on the official page →
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
Position Overview: The Enterprise Architecture - Data Architecture Senior Principal is a Band 5 Senior Contributor responsible for defining and advancing the enterprise data and analytics architecture strategy, target states, and multi-year roadmaps across the organization. This role serves as a recognized architecture authority , setting the northstar vision for modern data platforms, analytics, and AI-enabled capabilities—translating business priorities into pragmatic, scalable, and future-ready architectures . Operating with high enterprise influence and no direct reports, this role requires strong executive presence, the ability to influence without authority, and a relentless focus on enabling data-driven decision making, hyper-personalization, and AI-first innovation . Key Outcomes • Enterprise Data & Analytics Vision: Define and publish a business-aligned data and analytics architecture strategy with a clear 3–5 year roadmap covering data platforms, governance, analytics, AI/ML, and integration layers. • Scalable & Reusable Data Foundations: Establish modern, modular data architectures that reduce fragmentation, promote reuse, and enable enterprise-scale analytics and AI. • Decision Velocity through Architecture Governance: Implement architecture principles, guardrails, and decision frameworks to improve speed, consistency, and quality of analytics and data platform decisions. • AI-Ready & Insights-Driven Enterprise: Enable analytics-ready data, semantic layers, and AI capabilities that accelerate insights, automation, and intelligent decisioning. • Cross-Domain Alignment: Act as a unifying architecture leader across Digital, Data, AI, Security, and Business domains to ensure alignment on key investment and design decisions. Key Responsibilities: Strategy & Architecture Leadership • Define and evolve enterprise data & analytics architecture strategy, capability maps, and target-state designs . • Develop and maintain multi-year roadmaps aligned to business outcomes, cost optimization, and innovation priorities. • Establish a data-as-a-product and platform-based operating model . Data Platform & Analytics Architecture • Architect modern data platforms (cloud-native databases, data lakehouse, streaming, real-time pipelines, semantic/ontology layers). • Define patterns for data ingestion, transformation, storage, access, and consumption . • Enable self-service analytics , BI, and advanced analytics capabilities across the enterprise. • Lead architecture for AI/ML platforms, feature stores, and model lifecycle integration . Integration & API Architecture • Define enterprise integration strategy spanning APIs, messaging, event streaming, data sharing, and intelligent orchestration. • Establish architecture standards for API-led connectivity, event-driven architecture, service-mesh, and real-time integrations • Define reusable integration patterns across digital channels, core platforms, data and AI platforms • Lead architecture for enterprise interoperability including healthcare interoperability, FHIR ecosystem, and external data exchanges Data Governance, Privacy & Compliance • Embed data governance, quality, lineage, metadata, and stewardship frameworks into architecture design. • Ensure architectures support regulatory, privacy, and security requirements by design . • Establish patterns for trusted, secure, and compliant data usage . Innovation & Emerging Capabilities • Drive innovation in AI/ML, GenAI, agentic analytics, and intelligent automation . • Evaluate and guide adoption of emerging technologies (e.g., knowledge graphs, semantic models, real-time decisioning). • Lead proof-of-concepts and pilot initiatives for next-generation analytics capabilities. Governance & Decision Enablement • Pr