Cigna-Evernorth is seeking an Architecture Senior Advisor to design and implement key data architecture components. This role, based in St. Louis, requires five years of experience and a bachelor’s degree in a relevant field, with the option to work remotely.
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Key Takeaways:
- The position is titled Architecture Senior Advisor at Cigna-Evernorth.
- Key duties involve designing and implementing data architecture and models.
- Applicants must have a bachelor’s degree and at least five years of experience.
- The job is based in St. Louis, Missouri.
- A remote work option is available.
Overview of the Role
Cigna-Evernorth Srvcs Inc. is looking to fill a key position: Architecture Senior Advisor. This opportunity is focused on designing and implementing “major components & domains of data archtctre & data mdls,” according to the job listing. As published on 2026-06-07 by Stltoday, the role underscores a significant responsibility for ensuring robust data structures within the organization.
Required Skills and Qualifications
Candidates must hold a bachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, complemented by a minimum of five years of professional experience. The listing highlights the specialized nature of data-oriented work, emphasizing the importance of both a solid academic foundation and hands-on expertise.
Work Setting
Based in St. Louis, Missouri, this position integrates local on-site requirements with a modern approach to workplace flexibility. As stated in the job advertisement, the Architecture Senior Advisor has the potential to “Wrk frm home,” offering candidates a hybrid or fully remote experience depending on organizational guidelines.
Building Data Architecture
Core to the role’s mission is shaping data models that support major components of Cigna-Evernorth’s business. Entrusted with designing effective frameworks, the Architecture Senior Advisor’s work will serve as the backbone for data-related operations, ensuring that essential business functions run on reliable, well-structured data systems. This focus on “data archtctre & data mdls” highlights the critical nature of the position, setting the stage for transformative contributions in a modern, data-driven environment.