Data & AI Enablement Lead

Humana

3d•$142,300 - $195,700•Remote

About The Position

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 shapes Data & AI strategy and adoption by advancing high-value use cases, facilitating delivery from discovery through adoption, communicating recommendations to diverse audiences, and promoting responsible AI through governance, risk management, monitoring, and compliance. The position partners with business and technology leaders to define AI priorities, identify capability gaps, develop roadmaps, and align investments with measurable outcomes. It leads workshops and intake discussions to assess and prioritize AI and advanced analytics opportunities, supports governance and risk oversight across the AI lifecycle, and provides technical leadership for solution design, testing, validation, implementation, and monitoring. The role also advises teams on AI methods, tools, platforms, data requirements, prompt design, model selection, testing, and implementation options. It defines success measures, supports performance monitoring, develops enablement resources and communications, translates complex AI findings into recommendations, and stays current on emerging capabilities and standards. This is a remote position with occasional travel to Humana offices for training or meetings. Work-from-home employees must have internet service with at least 25 Mbps download and 10 Mbps upload and a dedicated workspace that protects member PHI/HIPAA information.

Requirements

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.

Nice To Haves

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.

Responsibilities

Partner with business and technology leaders to define AI priorities, identify capability gaps, develop roadmaps, and align investments with measurable business outcomes.
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.
Help establish and operationalize AI governance standards, decision rights, review processes, documentation requirements, and controls throughout the AI lifecycle.
Coordinate with Legal, Compliance, Privacy, Security, Data Governance, and other stakeholders to evaluate model risk, bias, explainability, data quality, privacy, security, and regulatory considerations.
Provide technical leadership for the design, testing, validation, implementation, and monitoring of machine learning, generative AI, and other AI-enabled solutions.
Advise teams on appropriate AI methods, tools, platforms, data requirements, prompt design, model selection, testing approaches, and implementation options.
Define success measures and support ongoing monitoring of solution accuracy, reliability, adoption, risk, and business impact; recommend remediation or retirement when appropriate.
Develop guidance, reusable assets, training, and communications that improve AI literacy and promote consistent, secure, and responsible adoption across the organization.
Translate complex AI concepts, risks, and findings into clear recommendations for business leaders, governance forums, and technical teams.
Stay current on emerging AI capabilities, industry practices, and evolving standards, and recommend practical improvements to the organization’s AI operating model.