Zelis
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Pay found in job post Base pay range: $169,000.00/yr - $225,000.00/yr
What you’ll do
AI Strategy & Enablement: 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.
Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.
Location and workplace Offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. Hybrid and remote-friendly culture; location based on position needs determined by Leadership. In-office requirements vary by team.
Employment type
Full-time
Seniority level
Director
Industries
Professional Services
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.
We welcome applicants from all backgrounds and encourage you to apply even if you don’t meet 100% of the qualifications for the role.
Accessibility Support If you require a reasonable accommodation during the application or interview process, please email TalentAcquisition@zelis.com.
Disclaimer We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to protected characteristics or any other characteristic protected by law.
The above statements describe the general nature and level of work and are not exhaustive. Duties may be added or changed as needed.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Pay found in job post Base pay range: $169,000.00/yr - $225,000.00/yr
What you’ll do
AI Strategy & Enablement: 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.
Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.
Location and workplace Offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. Hybrid and remote-friendly culture; location based on position needs determined by Leadership. In-office requirements vary by team.
Employment type
Full-time
Seniority level
Director
Industries
Professional Services
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.
We welcome applicants from all backgrounds and encourage you to apply even if you don’t meet 100% of the qualifications for the role.
Accessibility Support If you require a reasonable accommodation during the application or interview process, please email TalentAcquisition@zelis.com.
Disclaimer We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to protected characteristics or any other characteristic protected by law.
The above statements describe the general nature and level of work and are not exhaustive. Duties may be added or changed as needed.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr