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

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 question