Senior Advisor, Clinical Product and Clinical AI Enablement

The Cigna Group

3d•$116,100 - $193,500•Remote

About The Position

The Senior Advisor, Clinical Product & Clinical AI Enablement is a clinically trained individual contributor (Registered Nurse, Advanced Practice Provider, or Clinical Pharmacist) who supports the design, shaping, and execution of Clinical AI–enabled products and capabilities across The Cigna Group, including Cigna Healthcare and Evernorth. This role operates at the enterprise level, enabling Clinical AI across business units. The Senior Advisor brings deep clinical expertise and real‑world workflow understanding to help ensure that AI-enabled and clinical technology products are clinically sound, operationally feasible, and scalable across diverse business contexts (payer, pharmacy, care delivery enablement, and services). This is a hands‑on, tactical, execution‑focused role that serves as a trusted clinical product advisor, partnering with product, data and analytics, technology, and business teams to translate defined Clinical AI priorities into implementable solutions that drive health, experience, and value outcomes across the enterprise.

Requirements

Active clinical license required: Registered Nurse (RN), or Advanced Practice Provider (NP or PA), or Clinical Pharmacist (PharmD)
Experience practicing in a care delivery environment, with strong understanding of clinical workflows and decision‑making.
Bachelor’s degree required
6–10 years of relevant experience in clinical practice, clinical product enablement, population health, or clinical technology implementation.
Experience contributing clinical expertise to enterprise‑scale products or programs, ideally across payer, pharmacy, or services organizations.
Working knowledge of Clinical AI or advanced analytics applications in healthcare, including benefits, limitations, and adoption considerations.

Nice To Haves

Advanced degree or training/experience in healthcare, population health, clinical informatics, analytics, or related field preferred
Experience supporting Population Health and/or Value‑Based Care initiatives preferred.

Responsibilities

Support execution of enterprise Clinical AI initiatives spanning Cigna Healthcare and Evernorth, providing clinical input across design, pilot, deployment, and evaluation.
Help shape AI-enabled clinical products by translating enterprise-defined use cases into clinical workflows, functional requirements, and success criteria.
Participate in clinical review and validation of Clinical AI solutions to ensure appropriateness, usability, and alignment with enterprise clinical standards.
Identify workflow risks, adoption barriers, or potential unintended consequences across varied business contexts and surface recommendations to product and technology teams.
Support post‑implementation monitoring of Clinical AI products, focusing on clinical relevance, operational fit, and measurable outcomes.
Provide clinical input into product requirements and measures used to demonstrate impact across health plan, pharmacy, and services organizations.
Act as a clinical product advisor to enterprise product and technology teams, grounding product decisions in clinical knowledge and real‑world care workflows.
Review user interface (UI) and user experience (UX) designs from a clinician perspective to support scalability, usability, and adoption across business units.
Collaborate with enterprise stakeholders and contribute practical recommendations to optimize workflows enabled by AI and clinical technologies, minimizing friction and cognitive burden.
Partner with data and analytics teams to support development of clinically meaningful dashboards and reporting.
Assist in defining and validating clinical, operational, and value‑based metrics tied to enterprise Clinical AI initiatives.
Ensure metrics and insights are understandable, actionable, and appropriate for enterprise stakeholders.
Support efforts to enable clinical data interoperability across enterprise systems, ensuring Clinical AI and product workflows are powered by timely, accurate, and usable data.
Provide clinical input into data integration use cases (e.g., ADT feeds, longitudinal records, pharmacy and claims data alignment) to support AI and clinical products and services.
Partner with technology and data teams to ensure clinical context is incorporated into data models, data flows, and integration priorities.
Identify gaps in data availability or usability that may impact clinical outcomes, performance, or workflow execution, and contribute recommendations for improvement.
Work closely with product managers, data scientists, engineers, clinicians, pharmacists, and business leaders in a highly matrixed enterprise environment.
Support issue identification and resolution during implementation; escalate concerns or risks as appropriate.
Assist in preparing clear, concise materials (briefs, slides, summaries) that communicate clinical considerations, progress, and outcomes to enterprise audiences.