Director, AI Transformation

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🕒 6 days ago

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Logo of Evolent

Evolent

1001 - 5000 employees

⚕️ Healthcare Insurance

☁️ SaaS

Healthcare Insurance • Healthcare • SaaS

Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.

📋 Description

• Owns the analytics AI roadmap and helps drive adoption of AI-enabled workflows across Evolent’s analytics organization. • Represent Analytics on the AI Governance committee, define how to evaluate and prioritize AI use cases, and lead transformation initiatives. • Lead execution of Analytics AI strategy and roadmap and prioritize automation opportunities across analytics teams. • Lead delivery of AI transformation initiatives including automation, self-service tools, compliance reporting, and client value intelligence. • Partner with Product Analytics and Data Science to identify and implement meaningful AI use cases. • Measure effectiveness through KPIs tied to outcomes, efficiency, and cost. • Translate ASC 350-40 into a practical way to track development work so Finance can apply capitalization rules. • Design and implement the consolidated data layer using Microsoft Fabric. • Enable access to platforms such as Azure OpenAI, DevOps, and Power BI APIs. • Build Copilot adoption programs and prompt playbooks for analysts. • Create intake models that route standard requests to self-service tools first. • Quantify ROI through time savings, capacity freed, and effectiveness gains. • Manage and develop a team of automation analysts and developers.

🎯 Requirements

• Bachelor’s degree in a quantitative or healthcare-related field. • 7+ years of analytics or AI experience, including 3+ years in healthcare. • Experience leading AI or automation transformation initiatives. • Strong Azure and modern data architecture experience. • Experience translating capitalization requirements into team practices. • Advanced Python and SQL skills. • Experience with Power BI and BI tooling. • Knowledge of healthcare data and analytics. • Ability to drive adoption across distributed teams. • Strong communication and people leadership skills.

🏖️ Benefits

• Health insurance benefits

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