Analytics Leadership Fellow: AI & Data Innovation

Cigna Healthcare; Bloomfield (CT); Hybrid; USD 111,000 - 144,000; Full time

Benefits offered by this job

Health benefits

401(k)

Tuition reimbursement

Paid time off

Holidays & leaves

Life insurance

Job summary

The Cigna Group is launching the Analytics Leadership Development Program (ALDP), a 4-5 year leadership track across analytics, data science, and AI teams designed to grow AI-native leaders who can deliver measurable business and clinical impact.

Participants rotate through AI product, MLOps, and analytics roles, gain mentorship, and build both technical and leadership skills in a rapidly evolving healthcare environment. The program offers a strong benefits package and hybrid work flexibility.

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

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. (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.

Skills

Statistical analysis

Machine Learning

Leadership potential

Problem solving

Communication skills

Education

Master's degree in quantitative fields such as Data Science, Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a closely related discipline

Tools

Python

R

SQL

AI tooling

Job description

The Cigna Group is launching the Analytics Leadership Development Program (ALDP), a 4-5 year leadership track across analytics, data science, and AI teams designed to grow AI-native leaders who can deliver measurable business and clinical impact.

Participants rotate through AI product, MLOps, and analytics roles, gain mentorship, and build both technical and leadership skills in a rapidly evolving healthcare environment. The program offers a strong benefits package and hybrid work flexibility.