AI Operations Analyst

About the Role

Cigna is expanding its global AI Operations capabilities and seeking an AI Operations Analyst to support international AI governance responsible AI processes and foundational prompt engineering tasks. This entrylevel to earlycareer role is ideal for someone eager to grow in AI data and governance while collaborating with crossfunctional teams across time zones.

You will play a key role in ensuring Cignas AI tools workflows and vendors meet risk compliance and performance standardswhile assisting with prompt development documentation and operational oversight.

Key Responsibilities

AI Operations & Governance (Primary Focus)

• Support the management and operation of Cignas International AI Governance framework including monitoring compliance lifecycle documentation and standards adherence.
• Help maintain governance artifacts such as model inventories risk assessments data flow diagrams and evaluation logs.
• Collect organize and track information needed for reviews with Legal Privacy Security and Compliance teams.
• Assist with vendor oversight by gathering technical and operational data for governance reviews.

Prompt Engineering Support

• Contribute to basic prompt design testing and optimization under direction from senior prompt engineers.
• Maintain prompt libraries version histories and quality checks.
• Run structured prompt tests for accuracy safety cost efficiency and response quality.
• Document prompt performance results and produce clear summaries for stakeholders.

Operational Monitoring & Reporting

• Support creation of dashboards reports and audits for:
  • AI usage patterns
  • Model or prompt incidents
  • Risk & compliance checkpoints
  • Vendor performance metrics
• Participate in operational reviews retrospectives and redteam/blueteam exercises.

CrossFunctional Collaboration

• Partner with teams across International Markets Data/ML Engineering Security Privacy and Product to ensure governance tasks progress smoothly.
• Work effectively across multiple time zones with teams in Europe India and the U.S.
• Contribute to training materials FAQs and documentation to support internal adoption of AI tools.

Qualifications

Required

• 13 years experience in data analytics technology operations or earlycareer AIrelated roles.
• Foundational understanding of AI/ML concepts (LLMs RAG basics model inputs/outputs risks).
• Strong organizational skills and attention to detailcomfortable managing documentation and workflows.
• Curiosity and willingness to learn prompt engineering and governance methodologies.
• Excellent written and verbal communication skills; able to work with both technical and nontechnical teams.
• Demonstrated ability to work collaboratively across global teams and time zones.
• Bachelors degree in a relevant field (Data/Analytics Computer Science Engineering Business or similar).

Preferred (Nice to Have)

• Exposure to AI governance risk privacy or compliance practices.
• Basic experience with prompt engineering or LLM tools (ChatGPT Copilot Claude Azure OpenAI etc.).
• Familiarity with data concepts such as metadata data quality and PII/PHI handling.
• Understanding of enterprise operations or business process mapping.
• Interest in healthcare insurance or regulated industries.

Success Indicators

• Timely completion of governance tasks documentation and reviews.
• High-quality prompt testing results and clear reporting.
• Improved operational efficiency (tracking audits dashboards).
• Strong collaboration feedback from global stakeholders.
• Growth in AI and governance capabilities over the first 12 months.

Ways of Working

• Hybrid work environment with overlapping collaboration hours across the EU and India; occasional crossregion alignment meetings.
• Light travel possible for workshops or vendor sessions.
• Training and mentorship available from senior team members and AI leadership.