Remote AI Strategy & Enablement Lead

Humana, Inc.; Salt Lake City (UT); Remote; USD 142,000 - 196,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision benefits

401(k) retirement savings plan

Paid time off

Disability insurance

Life insurance

Many other opportunities

Job summary

Humana is seeking a Data & AI Enablement Lead to partner with Finance, IT, and stakeholders to translate complex business needs into analytics and AI-enabled solutions. You will shape the Data & AI strategy and adoption, leading high-value use cases from discovery through deployment while promoting responsible AI governance.

You'll provide technical leadership for ML and generative AI, advise teams on methods and tools, and monitor performance, risk, and business impact in a remote work setting

Qualifications

• 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.

Responsibilities

• 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.

Skills

Consultative analytics partner

AI lifecycle

SQL

Power BI

Databricks

Python

Stakeholder management

Communication

Education

Bachelor's degree

Master's degree

Tools

SQL

Power BI

Databricks

Python

Job description

Humana is seeking a Data & AI Enablement Lead to partner with Finance, IT, and stakeholders to translate complex business needs into analytics and AI-enabled solutions. You will shape the Data & AI strategy and adoption, leading high-value use cases from discovery through deployment while promoting responsible AI governance.

You'll provide technical leadership for ML and generative AI, advise teams on methods and tools, and monitor performance, risk, and business impact in a remote work setting