Position Summary:
We are seeking a highly skilled Lead Applied AI Analyst to support a strategic initiative aimed at transforming financial workflow across the enterprise. This role will be responsible for designing, developing, and operationalizing AI-driven solutions that automate workflows, modernize legacy processes, and unlock new analytical and decision‑support capabilities.
The Lead Applied AI Analyst will partner closely with the Director of Program Delivery, business teams across Finance and related functions, and technical delivery teams to embed AI into daily operations and deliver measurable business outcomes.
Key Responsibilities:
AI Solution Design & Development
- Lead the design and development of AI capabilities, including NLP, GenAI, predictive modeling, and agent-based automation.
- Build AI-driven workflows that simplify multi-step business processes and reduce manual effort.
Business Problem Solving & Use Case Development
- Translate business problems into clear technical approaches, including data needs, and workflow design.
- Validate assumptions, iterate quickly, and refine solutions based on stakeholder feedback.
Collaboration & Stakeholder Engagement
- Work closely with global Finance teams, analysts, and engineering partners to ensure solutions align with program objectives.
- Communicate complex AI concepts in clear business terms for senior leaders and operational teams.
- Support change management and user adoption by helping stakeholders understand how AI solutions improve their workflows.
Program Delivery & Governance
- Ensure all AI solutions align with enterprise standards for responsible AI.
- Contribute to program workstream planning, milestone delivery, and risk mitigation.
Qualifications:
Education
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, Finance, or related field.
- Advanced degree or certifications in AI/ML, Applied Data Science, or Analytics preferred.
Experience
- 6-10 years of hands-on experience in applied AI, ML engineering, or advanced analytics.
- Demonstrated experience building GenAI, LLM, RAG, NLP, or agent-based AI solutions.
- Strong background in Finance-related datasets and workflows.Experience delivering AI capabilities as part of large-scale transformation or modernization programs.
- Prior experience working with global or distributed teams.
Technical Skills
- Strong Python skills and experience developing end-to-end AI/ML pipelines.
- Expertise with LLMs, GenAI frameworks, NLP techniques, and agentic AI.
- Familiarity with modern data platforms (e.g., Databricks, Snowflake, cloud platforms).
- Strong prompt engineering and model-tuning fundamentals.
Business & Soft Skills
- Ability to translate ambiguous business problems into concrete AI solutions.
- Deep curiosity and willingness to experiment, iterate, and learn.
- Strong communication skills and comfort engaging with senior Finance stakeholders.
- Ability to operate in a fast-paced environment with evolving priorities.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, Finance, or related field
- Advanced degree or certifications in AI/ML, Applied Data Science, or Analytics
- 6-10 years hands-on experience in applied AI, ML engineering, or advanced analytics
- Demonstrated experience building GenAI, LLM, RAG, NLP, or agent-based AI solutions
- Strong Python skills and experience developing end-to-end AI/ML pipelines
- Expertise with LLMs, GenAI frameworks, NLP techniques, agentic AI, prompt engineering, and model tuning
- Familiarity with modern data platforms (Databricks, Snowflake) and cloud platforms
- Experience with Finance-related datasets, workflows, and delivering AI as part of large-scale transformation programs
- Experience working with global or distributed teams and engaging senior Finance stakeholders
Cigna Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.
-
Strong & Reliable Incentives — Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
-
Leave & Time Off Breadth — Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
-
Healthcare Strength — Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.
Cigna Insights
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.
