Data & AI Enablement Lead
New
H
HumanaHealthcare analytics
Source API remote eligibility restrictions: United StatesFull-TimeLead
Salary$142,300 - $195,700 per year
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Job Details
- Experience
- Bachelor's degree and 5+ years of analytics experience or Master's degree and 3+ years of analytics experience.
- Required Skills
- PythonSQLArtificial IntelligenceMachine LearningMicrosoft Power BIDatabricksGenerative AI
Requirements
- Have a bachelor's degree and 5+ years of analytics experience, or a master's degree and 3+ years of analytics experience.
- Demonstrate ability to serve as a consultative analytics partner with business stakeholders to define problems, evaluate opportunities, and deliver actionable recommendations.
- Have experience leading projects through the full analytics/AI lifecycle, including business intake, discovery, analysis, solution development, communicating insights, and implementation support.
- Have experience using SQL, Power BI, Databricks, Python, or similar tools to support business decision-making.
- Preferred: hold an advanced degree in Informatics, Analytics, Business Analytics, Healthcare Analytics, Statistics, Computer Science, Data Science, or a related field.
- Preferred: have progressive experience in financial analytics, business intelligence, artificial intelligence informatics, or a related field.
- Preferred: have experience working with financial, accounting, claims, pharmacy, payer, provider, sales, or operational data.
- Preferred: have 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.
- Help establish and operationalize AI governance standards, decision rights, review processes, documentation requirements, and lifecycle controls.
- 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 AI methods, tools, platforms, data requirements, prompt design, model selection, testing approaches, and implementation options.
- Define success measures and support monitoring of solution accuracy, reliability, adoption, risk, and business impact; recommend remediation or retirement when appropriate.
- Develop guidance, reusable assets, training, and communications to improve AI literacy and promote consistent, secure, and responsible adoption.
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