Analytics Leadership Development Program (ALDP) - Start Date: July 12, 2027

Cigna Health and Life Insurance Company; Connecticut; Hybrid; USD 87,000 - 144,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

401(k)

Paid time off

Job summary

The Cigna Group in the United States is launching the Analytics Leadership Development Program (ALDP), a 4-5 year leadership track with three rotations across analytics, data science, and AI teams. You will build AI-enabled analytics, prototype AI-powered products, and partner across teams to deliver impactful solutions in healthcare and business.

You will work in a hybrid schedule across Bloomfield, CT; Morris Plains, NJ; or Raleigh, NC, and rotate through technical and business-impact

Qualifications

• Master’s degree in quantitative fields is required or strongly preferred.
• Hands-on experience with statistics or ML methods through projects or roles.
• Proficiency in Python (preferred) or R and SQL for structured data.
• Familiarity with experimental design and AI concepts.

Responsibilities

• Build AI-enabled analytics solutions using statistical methods and ML.
• Work with AI-assisted tools to accelerate problem solving and analytics.
• Develop end-to-end AI-powered products from prototype to adoption.
• Partner with cross-functional teams to frame problems and communicate insights.
• Handle healthcare data with governance standards and understand economics and operations.

Skills

Python

SQL

Statistics

Machine Learning

Data Analysis

R

Education

Master’s degree in quantitative fields such as Data Science, Analytics, Statistics, Mathematics, Computer Science, Machine Learning

Tools

Cursor

Claude

GitHub Copilot

Lovable

Job description

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 solutions (e.g., prototypes, applications, or tools) that move from ideas to usable output through coursework, projects, or professional experience.
• Strong problem-solving skills, comfort working in ambiguity, and the ability to structure complex questions into actionable analyses that support solution design and adoption.
• Clear communication skills and demonstrated leadership potential through academic, professional, research, or extracurricular experiences.

Locations

This position is based in one of the following office locations: Bloomfield, CT | Morris Plains, NJ | Raleigh, NC. The role requires a hybrid work schedule, with a minimum of three days per week working onsite (Tuesday, Wednesday, and one additional day of the employee's choice), and the option to work the remaining days remotely. Relocation assistance is not offered, and employees must be able to meet the onsite schedule for their assigned office location.

Program Schedule

You must be available to work a 40-hour work week beginning July 12, 2027. Working days are Monday - Friday.

Work Authorization

One goal of this leadership development program is to prepare and identify qualified candidates for leadership roles with The Cigna Group upon program completion. Therefore, this position is open only to individuals who are eligible for employment in the United States and who do not now, or in the future, require visa sponsorship including, but not limited to, H-1B, CPT/OPT/STEM.

Compensation

For this position, we anticipate offering a base salary of $111,000 with a competitive benefit package. For this position, we anticipate offering an annual salary of 86,600 - 144,300 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan.

Pre-Employment Requirements

Selected candidates will be required to complete mandatory pre-employment tasks approximately 45 days prior to the program start date. Completion of the drug test requires availability within the United States during this timeframe. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

Benefits

At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Equal Opportunity Employment

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

Accommodation Requests

If you need a reasonable accommodation to complete the online application process, please email [e-mail] for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

Tobacco-Free Policy

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Criminal History Consideration

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.