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Zelis is seeking a Director of Analytics & AI Enablement to lead the transformation of data and AI capabilities, driving the adoption of advanced analytics, operationalizing AI at scale, and enabling intelligent decision-making across the organization.

Requirements

• Proven experience in AI enablement, including enterprise deployment of LLMs and generative AI solutions.
• Deep expertise in Snowflake, Ask Sigma, and MCPs (Azure, AWS, GCP).
• Strong understanding of LLM architectures, LangChain, RAG, and vector search.
• Experience with MLOps tools (e.g., MLFlow, SageMaker, Vertex AI) and model governance.
• Proficiency in Python, SQL, and cloud-native AI/ML services.
• Experience with data mesh, data fabric, and modern data architecture principles preferred.
• Familiarity with real-time analytics, streaming data, and event-driven architectures preferred.

Responsibilities

• Architect and lead the AI enablement roadmap, including use case discovery, model development, deployment, and lifecycle management.
• Drive the integration of LLMs and generative AI into business processes, including RAG pipelines, chatbots, summarization engines, and intelligent agents.
• Define and implement frameworks for prompt engineering, fine-tuning, and model evaluation across business domains.
• Own the end-to-end architecture of the analytics stack, including Snowflake, Ask Sigma, and semantic modeling layers.
• Design and govern scalable data models, access controls, and performance optimization strategies.
• Lead the design of feature stores, vector databases, and model registries to support real-time and batch AI workloads.
• Champion the adoption of MLOps practices, including CI/CD for ML, automated testing, monitoring, and retraining pipelines.

Other

• 10+ years of experience in analytics, data science, or AI roles, with 3+ years in a senior leadership capacity.
• Background in regulated industries (e.g., healthcare, finance) with experience in compliance and auditability preferred.
• Experience leading vendor evaluations and managing external partnerships for AI/analytics tooling preferred.
• Must not require visa sponsorship now or in the future.
• Ability to work in a hybrid and remote friendly culture, with in-office work and activities varying based on the work and team objectives.