Remote Data & AI Enablement Lead: Strategy & Adoption

Humana, Inc.

Lansing (MI)

Remote

USD 142,000 - 196,000

Full time

3 days ago

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Benefits offered by this job

Medical benefits

Dental & vision benefits

401(k) retirement plan

Paid time off

Disability insurance

Life insurance

Other opportunities

Job summary

Humana, Inc. is seeking a Data & AI Enablement Lead to translate complex business needs into actionable analytics and AI-enabled solutions.

You will partner with Finance, IT, and stakeholders to shape AI strategy, identify high-value use cases, and drive adoption with governance and risk controls. You will lead or facilitate workshops, coordinate with Legal/Compliance, and supervise the design, validation, and monitoring of machine learning and other AI-enabled systems.

Qualifications

Bachelor's degree and 5+ years of analytics experience or Master's degree and 3+ years of analytics experience.
Consultative analytics partner: work with business stakeholders to define problems, evaluate opportunities, and deliver actionable recommendations.
Lead projects through the full analytics/AI lifecycle: discovery, analysis, solution development, communication of insights, and implementation support.
Experience using SQL, Power BI, Databricks, Python, or similar tools to support 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.