AI Strategy & Enablement Lead — Remote

humana; United States; Remote; USD 142,000 - 196,000; Full time

Benefits offered by this job

Remote role

Performance-based bonus eligibility

Competitive base pay

Job summary

Humana is seeking an experienced analytics and AI leader to shape data priorities by partnering with finance, technology, and business teams. This individual contributor guides opportunities from discovery through implementation and ongoing monitoring, turning business needs into actionable analytics and responsible AI solutions.

You will set AI priorities with leaders, assess use cases, and drive governance, risk, and data quality across the lifecycle.

Qualifications

• Bachelor’s degree with 5+ years analytics experience or Master’s with 3+ years.
• Experience partnering with business stakeholders to define problems and actions.

Responsibilities

• Set AI priorities with business and tech leaders and tie roadmaps to measurable outcomes.
• Lead intake discussions to evaluate use cases for value, feasibility, and data readiness.
• Establish AI governance practices including decision rights and lifecycle controls.
• Coordinate risk reviews with legal, privacy, security, and data governance partners.
• Provide technical direction for designing, testing, implementing, and monitoring analytics/ML solutions.
• Develop adoption guidance and communicate findings clearly to technical and business audiences.

Skills

Stakeholder partnership

Analytics lifecycle leadership

AI governance

Clear communication

Education

Bachelor’s degree with 5+ years analytics experience

Master’s degree with 3+ years

Tools

SQL

Power BI

Databricks

Python

Job description

Humana is seeking an experienced analytics and AI leader to shape data priorities by partnering with finance, technology, and business teams. This individual contributor guides opportunities from discovery through implementation and ongoing monitoring, turning business needs into actionable analytics and responsible AI solutions.

You will set AI priorities with leaders, assess use cases, and drive governance, risk, and data quality across the lifecycle.