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

The Cigna Group•Bloomfield, CT

7d•$86,600 - $144,300•Hybrid

About The Position

The Analytics Leadership Development Program (ALDP) is designed to grow the next generation of AI-native analytics leaders at The Cigna Group. This program focuses on 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 is a 4-5 year leadership development initiative with three 12-18 month rotations across analytics, data science, and AI teams. Rotations will include technical depth assignments (data science, AI product, MLOps/platform, AI product builder roles) and business-impact assignments (clinical analytics, affordability, customer experience, provider, and network analytics). Participants will gain exposure to various working environments, from scaling analytics in established teams to contributing in fast-moving R&D settings. The program includes mentorship, coaching, sponsorship, and structured technical and leadership development to prepare participants for future leadership roles in analytics, AI, and product.

Requirements

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
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
Must be eligible for employment in the United States and not require visa sponsorship now or in the future.

Nice To Haves

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.

Responsibilities

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.
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.