Jobs / United States / Cigna Health And Life Insurance Company
Senior Director, Data & Digital Product Architecture
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.
- 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).
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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
Job Description • The Senior Director, Data & Digital Product Architecture is responsible for designing and industrializing the enterprise’s data and digital product solutions — turning bespoke, one-off work into reusable, production-ready assets built on a centralized, enterprise-agnostic Silver model. • This role leads Data Architecture as part of its umbrella, owning the enterprise solution architecture that binds data and digital product capabilities together and weaving AI and automation across modeling and solutioning to compress the modeling cycle that has historically slowed the path to production. The Senior Director directs the design of the scalable, enterprise-agnostic data model and partners closely with Data Engineering, Data Analysis & Products, Digital Product, and Analytics teams to architect reusable solutions and refactor raw work onto governed, shared sources. • This role is a critical counterpart to the Data Engineering pillar of the DataOps team. The role provides hands-on leadership across data architecture, solution design, AI-accelerated modeling, product integration, and automation so that architectural intent and engineering investment result in reusable, adopted, and scalable data and digital product assets. Key Responsibilities Data Architecture Leadership • Lead the Data Architecture function, owning the design of the scalable, flexible, enterprise-agnostic data model that underpins the enterprise medallion architecture. • Set architectural direction, standards, and reference models that Data Engineering and Analysis teams build against. • Direct the ingestion, structuring, and layering strategy in partnership with IT and Data Engineering to ensure a durable, reusable foundation. Solution Architecture & Design • Own the end-to-end solution architecture that connects data and digital product capabilities to the centralized, enterprise-agnostic medallion architecture models. • Design reusable, scalable solution blueprints and reference patterns aligned to the enterprise medallion architecture rather than siloed, point builds. • Translate architectural intent into buildable, production-ready solution designs that engineering and product teams can execute against. AI-Accelerated Modeling & Solution Industrialization • Weave AI and automation across modeling and solutioning to compress modeling time — the historic inhibitor to reaching production. • Refactor raw, bespoke solutions onto the centralized, agnostic Silver layer so value is captured once and reused many times. • Establish repeatable patterns and accelerators that turn learning-stage work into durable, production-ready assets. Data & Digital Product Integration • Integrate data and digital product solutions onto shared, reusable sources, ensuring alignment with the enterprise medallion model rather than siloed builds. • Partner with Digital Product and Analytics teams to embed automation and AI into product workflows where combined capabilities produce stronger outcomes. • Ensure integrated solutions are designed for reuse across multiple use cases, not bespoke consumption. Reusability, Standards & Enablement • Centralize AI-assisted modeling patterns, templates, and reusable components so every asset compounds the value of the next. • Establish standards for how data architecture, solution design, AI, and automation are applied across engineering and solutioning to ensure consistency and scale. • Enable Data Engineering and Analysis teams to adopt architectural patterns and automation accelerators effectively within their workflows. Required Experience & Capabilities • Senior leadership experience in data architecture, solution architecture, data modeling, data/analytics solution delivery, automation, or applied AI with