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# Data & AI Enablement Lead

- **Company:** Humana Inc.
- **Location:** Boise, ID, United States (Remote available)
- **Experience:** Expert
- **Salary:** $142,300 - $195,700
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Health Informatics, Data Governance, Internet Services, Python (Programming Language), Machine Learning, Operational Data Store, Power BI, SQL Databases, Prompt Engineering, Model Validation, Information Technology, Performance Monitor, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3517361061&tx=KP3535FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree and 5+ years of analytics experience or Master's degree and 3+ years of analytics experience.
 * Demonstrated ability to serve as a consultative analytics partner, working directly with business stakeholders to define problems, evaluate opportunities, and deliver actionable recommendations.
 * Experience leading projects through the full analytics/AI lifecycle, including business intake, discovery, analysis, solution development, communication of insights, and implementation support.
 * Experience using SQL, Power BI, Databricks, Python, or similar tools to support business decision-making., * Advanced degree in Informatics, Analytics, Business Analytics, Healthcare Analytics, Statistics, Computer Science, Data Science or a related field.
 * Progressive experience in financial analytics, business intelligence, Artificial intelligence informatics, or a related field.
 * Experience working with financial, accounting, claims, pharmacy, payer, provider, sales, or operational data.
 * Experience communicating insights and recommendations to senior leaders and cross-functional stakeholders.

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.

## Description

The Data & AI Enablement Lead is a strategic individual contributor who partners with Finance, IT, and cross-functional stakeholders to translate complex business needs and data into actionable analytics and AI-enabled solutions. The role will shape Data & AI strategy and adoption; where the Data & AI Enablement Lead will lead and/or facilitate the following activities: evaluate and advance high-value use cases, facilitate delivery from discovery through adoption, communicate recommendations to diverse audiences, and promote responsible AI through effective governance, risk management, monitoring, and compliance., * Data & AI strategy and roadmap: Partner with business and technology leaders to define AI priorities, identify capability gaps, develop roadmaps, and align investments with measurable business outcomes.

 * Use-case identification and facilitation: Lead workshops and intake discussions to identify, assess, prioritize, and shape AI and advanced analytics opportunities based on value, feasibility, data readiness, risk, and scalability.
 * Data & AI governance and responsible use: Help establish and operationalize AI governance standards, decision rights, review processes, documentation requirements, and controls throughout the AI lifecycle.
 * Risk assessment and oversight: Coordinate with Legal, Compliance, Privacy, Security, Data Governance, and other stakeholders to evaluate model risk, bias, explainability, data quality, privacy, security, and regulatory considerations.
 * Solution development and delivery: Provide technical leadership for the design, testing, validation, implementation, and monitoring of machine learning, generative AI, and other AI-enabled solutions.
 * Business and technical support: Advise teams on appropriate AI methods, tools, platforms, data requirements, prompt design, model selection, testing approaches, and implementation options.
 * Performance monitoring: Define success measures and support ongoing monitoring of solution accuracy, reliability, adoption, risk, and business impact; recommend remediation or retirement when appropriate.
 * AI adoption and enablement: Develop guidance, reusable assets, training, and communications that improve AI literacy and promote consistent, secure, and responsible adoption across the organization.
 * Stakeholder communication: Translate complex AI concepts, risks, and findings into clear recommendations for business leaders, governance forums, and technical teams.
 * Continuous improvement: Stay current on emerging AI capabilities, industry practices, and evolving standards, and recommend practical improvements to the organization's AI operating model.