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Humana Inc

Humana Inc

careers.humana.com

3 Jobs

45,962 Employees

About the Company

Humana will never ask, nor require a candidate to provide money for work equipment and network access during the application process. If you become aware of any instances where you as a candidate are asked to provide information and do not believe it is a legitimate request from Humana or affiliate, please contact yourcareer@humana.com to validate the request At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms -when and where they need it. Our employees are at the heart of making this happen and that's why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.

Listed Jobs

Company background Company brand
Company Name
Humana Inc
Job Title
Medicaid Senior Product Manager
Job Description
**Job Title:** Medicaid Senior Product Manager **Role Summary:** Lead the design, execution, and continuous improvement of the Medicaid Clinical Operations Intake framework, ensuring that ideas and initiatives are translated into prioritized, value‑driven projects that align with business goals, compliance requirements, and technical feasibility. **Expectations:** - Own the entire intake lifecycle from inception to delivery. - Partner with clinical, product, operations, technology, compliance, portfolio and strategy teams. - Provide data‑driven insights and strategic guidance to senior leadership. - Operate with high autonomy, making decisions that impact enterprise priorities with minimal supervision. **Key Responsibilities:** - Own and evolve a robust, transparent, data‑informed intake framework. - Define and manage decision criteria evaluating business value, compliance impact, technical feasibility, and alignment with organizational goals. - Facilitate governance prioritization forums, presenting evidence‑based evaluations to senior leadership. - Establish performance metrics (e.g., backlog health, cycle time, customer satisfaction) to identify bottlenecks and drive continuous improvement. - Translate approved requests into actionable portfolio items with clear scope, context, and alignment for delivery teams. - Serve as a strategic advisor to clinical leadership, using data insights and stakeholder feedback to shape portfolio priorities and resource allocation. - Champion transparency and communication, keeping stakeholders informed of intake status, prioritization outcomes, and decision rationale. - Influence long‑term Medicaid product strategy, ensuring intake trends and performance insights inform investment decisions and process innovation. **Required Skills:** - Product management, operations, or process improvement experience (4+ years). - Proven design and leadership of intake or portfolio management frameworks in complex, regulated environments. - Strong analytical skills and the ability to translate complex data into actionable recommendations. - Excellent communication and stakeholder influence skills, including executive‑level presentation. - Proficiency with intake and portfolio management tools (e.g., Jira Align, SmartSheet, SharePoint). - Governance, prioritization, and enterprise portfolio management expertise. - Ability to collaborate cross‑functionally and drive measurable process outcomes. **Required Education & Certifications:** - Bachelor’s degree or equivalent work experience. - Minimum of 4+ years of relevant product management, operations, or process improvement experience in Medicaid or healthcare delivery. - Certification in product management or portfolio governance is a plus. ---
Honolulu, United states
On site
Senior
04-11-2025
Company background Company brand
Company Name
Humana Inc
Job Title
Applied AI Engineer
Job Description
Job title: Applied AI Engineer Role Summary: Design, develop, and deploy AI‑powered software solutions that serve business use cases, focusing on generative AI, large language models, and traditional machine learning. Operate across the full development lifecycle, from data ingestion to API deployment and monitoring. Expectations: Deliver production‑ready, scalable Python applications; maintain high reliability and performance of APIs, models, and data pipelines; collaborate with data scientists to translate analytic models into robust engineering products. Demonstrate continuous learning of emerging AI techniques and cloud technologies. Key Responsibilities: - Implement generative AI systems using LLMs and other models to create innovative business solutions. - Build and maintain RESTful APIs (FastAPI, Flask) for Retrieval‑Augmented Generation and generative agents. - Design, develop, and upkeep data pipelines for large‑scale ingestion, processing, and transformation. - Support data science team in deploying traditional ML models into production. - Translate model requirements into scalable engineering solutions. - Monitor and optimize performance, reliability, and scalability of deployed services. - Stay current on advances in machine learning, generative AI, cloud tooling, and DevOps practices. Required Skills: - 5+ years developing Python applications for end‑users. - Proficiency with Pandas, NumPy; machine learning libraries TensorFlow, PyTorch, scikit‑learn. - Experience building APIs (FastAPI, Flask) and implementing REST principles. - Strong cloud platform knowledge (AWS, GCP, Azure). - Containerization and orchestration skills (Docker, Kubernetes). - CI/CD tool experience; Git version control. - Familiarity with LLM integration in application development. - Good problem‑solving, collaboration, and communication abilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Mathematics, Statistics, or related quantitative field with ≥5 years professional experience, OR - Master’s degree in a similar discipline with ≥3 years relevant experience. ---
United states
Remote
Mid level
19-11-2025
Company background Company brand
Company Name
Humana Inc
Job Title
Principal Data Scientist
Job Description
**Job Title:** Principal Data Scientist **Role Summary:** Lead the design, development, and deployment of enterprise‑grade AI and NLP solutions that are safe, interpretable, and scalable. Drive responsible generative AI initiatives, build autonomous agents, and partner with business units to embed AI into operational workflows while ensuring compliance and transparency. **Expectations:** - Deliver high‑impact, production‑ready AI models that meet ethical and safety standards. - Provide strategic guidance to cross‑functional teams and senior leadership on AI roadmap and risk management. - Mentor and grow a high‑performing data science group, fostering innovation and best practices. **Key Responsibilities:** - Design and prototype generative AI solutions (LLMs, diffusion models) using Python and relevant libraries. - Develop autonomous AI agents with frameworks such as LangChain, LangGraph, AutoGen, or CrewAI for decision support. - Integrate AI models into enterprise systems, ensuring scalability, reliability, and regulatory compliance. - Collaborate with MLOps/DevOps to orchestrate CI/CD pipelines and runtime monitoring. - Apply advanced machine learning, NLP, and generative techniques to large textual and multimodal datasets. - Build and maintain structured and unstructured data pipelines for analysis and reporting. - Create analytical reports, projections, and executive‑level presentations to inform strategy. - Lead strategic partnership discussions with senior executives to shape AI strategy across domains. - Serve as senior advisor on AI policy, ethics, and risk assessment. **Required Skills:** - 10+ years of data science experience, with 5+ years focused on AI/NLP. - Expert programming in Python (R optional), with deep knowledge of NLP libraries (NLTK, spaCy, Hugging Face Transformers). - Proficiency in deep learning frameworks (TensorFlow, PyTorch). - Experience with cloud AI platforms (AWS, Azure) and MLOps tooling. - Strong analytical, problem‑solving, and decision‑making abilities. - Excellent verbal and written communication, able to explain complex concepts to non‑technical audiences. **Required Education & Certifications:** - Master’s degree or Ph.D. in Data Science, Computer Science, Artificial Intelligence, or related field. - Relevant certifications (e.g., TensorFlow Developer, NLP Specialization by deeplearning.ai) preferred.
Boston, United states
On site
Senior
25-11-2025