Norwest Venture Partners
Director - Analytics & AI Enablement
Norwest Venture Partners, Iowa, Louisiana, United States, 70647
About Zelis
Zelis is modernizing the business of healthcare by building something remarkable: a connected platform that bridges gaps in the financial system and aligns interests across healthcare insurers, providers, and consumers. Job Description
We are seeking a dynamic and technically accomplished Director of Analytics & AI Enablement to lead the transformation of data and AI capabilities. This role will serve as a strategic bridge between data science, engineering, and business functions—driving the adoption of advanced analytics, operationalizing AI at scale, and enabling intelligent decision-making across the organization. What you'll do: 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. Lead cross-functional AI working groups to ensure alignment on priorities, risks, and outcomes. Analytics Platform Ownership 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. Enable federated analytics and self-service capabilities through curated data products and reusable components. Technical Leadership & Engineering Partnership Collaborate with data engineering and cloud teams to build robust, scalable data pipelines on MCPs (Azure, AWS, GCP). 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. Governance, Security & Compliance Define and enforce governance policies for responsible AI, including fairness, transparency, and explainability. Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal audit requirements. Implement model risk management frameworks and ethical AI guidelines. Enablement & Culture Building Develop and lead enablement programs to upskill analysts, engineers, and business users on AI/ML tools and techniques. Foster a culture of experimentation, innovation, and data-driven decision-making. Build and mentor a high-performing team of analytics and AI professionals. What you'll bring to Zelis: 10+ years of experience in analytics, data science, or AI roles, with 3+ years in a senior leadership capacity. 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. 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. Base Salary Range: $169,000.00 - $225,000.00 Zelis’ full-time associates are eligible for a highly competitive benefits package, which demonstrates our commitment to our employees’ health, well-being, and financial protection. Equal Employment Opportunity: Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Zelis is modernizing the business of healthcare by building something remarkable: a connected platform that bridges gaps in the financial system and aligns interests across healthcare insurers, providers, and consumers. Job Description
We are seeking a dynamic and technically accomplished Director of Analytics & AI Enablement to lead the transformation of data and AI capabilities. This role will serve as a strategic bridge between data science, engineering, and business functions—driving the adoption of advanced analytics, operationalizing AI at scale, and enabling intelligent decision-making across the organization. What you'll do: 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. Lead cross-functional AI working groups to ensure alignment on priorities, risks, and outcomes. Analytics Platform Ownership 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. Enable federated analytics and self-service capabilities through curated data products and reusable components. Technical Leadership & Engineering Partnership Collaborate with data engineering and cloud teams to build robust, scalable data pipelines on MCPs (Azure, AWS, GCP). 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. Governance, Security & Compliance Define and enforce governance policies for responsible AI, including fairness, transparency, and explainability. Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal audit requirements. Implement model risk management frameworks and ethical AI guidelines. Enablement & Culture Building Develop and lead enablement programs to upskill analysts, engineers, and business users on AI/ML tools and techniques. Foster a culture of experimentation, innovation, and data-driven decision-making. Build and mentor a high-performing team of analytics and AI professionals. What you'll bring to Zelis: 10+ years of experience in analytics, data science, or AI roles, with 3+ years in a senior leadership capacity. 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. 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. Base Salary Range: $169,000.00 - $225,000.00 Zelis’ full-time associates are eligible for a highly competitive benefits package, which demonstrates our commitment to our employees’ health, well-being, and financial protection. Equal Employment Opportunity: Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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