Analytics Leadership Development Program; ALDP

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.

• 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.

• 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, Git Hub 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…