Informatics Lead, Clinical Intelligence

** Become a part of our caring community*
* The Informatics Lead, Clinical Intelligence is responsible for analyzing high-value AI opportunities across Center Well's Home Health, Primary Care, and Pharmacy segments. This role conducts opportunity sizing and discovery analysis to identify and shape an intelligence layer that connects a patient's risk factors, care history, engagement data, and clinical context across products and experiences. This individual works closely with product management to identify opportunities, assess feasibility and value, and measure impact and drift of scaled solutions delivered by AI, Data Science, and IT partners.

This is a remote position that reports to the Director, Informatics.

** Key Responsibilities*
* + Conduct data discovery, feasibility analysis, and opportunity sizing for Clinical Intelligence initiatives, supporting prioritization decisions and value case development.

+ Design and implement evaluation schemes for production Clinical Intelligence products, owning the measurement of impact, drift, and accuracy against benchmarks.

+ Serve as a subject matter expert for population health benchmarks, owning a unified perspective across internal partners and external research.

+ Establish success metrics and measure the impact of intelligence capabilities on care coordination, personalization, operational efficiency, and patient outcomes.

+ Partner with product, clinical, business, data, and technology stakeholders to identify high-value opportunities where connected patient intelligence can improve decisions, experiences, and outcomes.

+ Lead exploratory analyses that identify unmet clinical and operational needs, quantify business value, and inform product roadmaps.

+ Create measurement plans and value hypotheses for new Clinical Intelligence capabilities prior to development and pilot launch.

+ Collaborate with product, engineering, AI/ML, compliance, and operations teams to translate opportunities into scalable solutions.

** Use your skills to make an impact*
* ** Required Qualifications*
* + You will have a Bachelor's degree and 7+years of data analytics experience OR Master's degree with 4+ years of experience.

+ You will have at least 4+ years of experience analyzing clinical intelligence solutions that impact patient care decisions

+ You will have 4+ years of experience evaluating the outcomes, performance, and validation of AI & ML solutions

+ You will have advanced experience with SQL and Python to analyze complex datasets

+ You will have a proven ability to apply clinical and public health research methodologies to assess opportunities, quantify value, and guide enterprise-scale business and product investments.

+ You will have significant experience with data analysis and engineering for analytics, model evaluation techniques, and using data to drive business outcomes and decisions.

+ You will have excellent verbal and written communication, significant experience articulating and presenting findings and insights to senior leadership.

** Preferred Qualifications*
* + Masters in Public Health, or similar healthcare field with a deep understanding in Epidemiology and/or Population.

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Experience with Databricks or other cloud-based data transformation tools.

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Experience with AI driven capabilities related to patient data, insights & decision support.

+ Experience working in Agile or test-and-learn environments.

Work at Home Requirements:
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel:
While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

** Scheduled Weekly Hours*
* 40

** Pay Range*
* The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job…