Remote Data & AI Enablement Lead

Humana, Inc.; Juneau (AK); Remote; USD 142,000 - 196,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision benefits

401(k) plan

Paid time off

Disability insurance

Life insurance

Other opportunities

Job summary

Humana, Inc. is seeking a Data & AI Enablement Lead to partner with Finance, IT, and stakeholders to translate business needs into analytics and AI-enabled solutions. The leader will shape strategy, advance high-value use cases, and promote responsible AI through governance and monitoring.

The role leads or facilitates discovery through adoption, communicates recommendations to executives, and ensures compliance and risk management across the AI lifecycle.

Qualifications

• Bachelor's degree with 5+ years analytics or Master's with 3+ years analytics.
• Consultative analytics partner experience with stakeholders.
• Experience leading full analytics/AI lifecycle projects.
• Experience using SQL, Power BI, Databricks, Python, or similar tools.

Responsibilities

• Define AI priorities and roadmaps with business leaders.
• Lead workshops to identify and prioritize AI opportunities.
• Establish AI governance and risk controls.
• Coordinate risk assessment with Legal, Compliance, Privacy, Security, and Data Governance.
• Provide technical leadership for ML and AI implementations.
• Advise teams on AI methods, tools, platforms, data requirements.
• Define success measures and monitor solution performance and business impact.
• Develop guidance and training to improve AI literacy and adoption.

Skills

Analytics partner

Lifecycle leadership

SQL

Power BI

Databricks

Python

Education

Bachelor's degree

Master's degree

Job description

Humana, Inc. is seeking a Data & AI Enablement Lead to partner with Finance, IT, and stakeholders to translate business needs into analytics and AI-enabled solutions. The leader will shape strategy, advance high-value use cases, and promote responsible AI through governance and monitoring.

The role leads or facilitates discovery through adoption, communicates recommendations to executives, and ensures compliance and risk management across the AI lifecycle.