Jobs / United States / Cigna Health And Life Insurance Company
Analytics Leadership Development Program (ALDP) - Start Date: July 12, 2027
Cigna Health And Life Insurance Company · 🇺🇸 3 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 roles1 certified filing for “Operations Director (Program Director)” (Information Technology Project Managers) in VA: $190k–$190k, median $190k. 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 — 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
Analytics Leadership Development Program (ALDP) – Full-Time Associate At The Cigna Group, data, analytics, and AI shape decisions that improve health outcomes, make care more affordable, and help build a healthcare system that works better for everyone. The Analytics Leadership Development Program (ALDP) is how we grow the next generation of AI-native analytics leaders: individuals who can build modern AI-enabled solutions, work fluently alongside AI, and lead teams that turn data into measurable business and clinical impact. The Program ALDP is a 4–5-year leadership development program built around three 12–18-month rotations across analytics, data science, and AI teams supporting our businesses. Over the course of the program, you will: • Rotate through a mix of technical depth assignments (data science, AI product, MLOps/platform, and AI product builder roles within our AI Innovation Office) and business-impact assignments (clinical analytics, affordability, customer experience, provider, and network analytics). • Gain exposure to a range of working environments - from scaling analytics in established teams to contributing in fast-moving, R&D-style settings where new AI-powered products are rapidly prototyped and tested. • Be paired with mentors, coaches, and sponsors empowering you to meet your goals and help you plan each next move. • Move through a structured technical and leadership development experience designed to build both analytic capabilities and leadership skills. • Build breadth and depth through rotations that prepare you for future analytics, AI, and product leadership roles. What You Will Do • Build AI-enabled analytics solutions by applying statistical analysis, machine learning, and experimentation to real healthcare and business problems, with exposure to modern generative AI workflows used in production environments. • Develop fluency working alongside AI by leveraging AI-assisted tools to accelerate problem solving, analytics, and development while maintaining strong analytical judgment. • Build and iterate AI-powered products end-to-end by identifying high-value problems, developing prototypes, and refining solutions based on real user feedback and adoption. (aligned to product builder expectations of identifying what to build and shipping solutions) • Translate analytics and prototypes into adopted solutions by partnering with cross-functional teams to frame problems, design solutions that get used, and communicate insights clearly to diverse audiences. • Build responsible, business-grounded analytics by working with sensitive healthcare data under governance standards and developing an understanding of healthcare economics, programs, and operations. Qualifications • Master’s degree in quantitative fields such as Data Science, Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a closely related discipline • Hands-on experience applying statistical or machine learning methods through coursework, research, capstone projects, internships, or professional roles • Proficiency in Python (preferred) or R, and SQL for working with structured data • Familiarity with experimental design and analytical evaluation (e.g., hypothesis testing, A/B testing, model assessment) • Exposure to modern AI concepts and tooling, including generative AI and AI-assisted development, with an interest in applying these tools to prototype and build solutions • Not required but recommended : Demonstrated track record using AI-assisted builder tools (e.g., Cursor, Claude, GitHub Copilot, Lovable), with examples from academic, professional, and/or personal projects; can explain where AI helped, where you chose not to use it, and how you validated outputs. • Exposure to building end-to-end solu