✦ Luna Orbit — AI & Machine Learning

VP, AI & Emerging Analytics

at Reinsurance Group of America

Unknown 💰 $175K – $261K USD / year Posted March 29, 2026
Salary $175K – $261K USD / year
Type Full-Time
Experience executive
Exp. Years 15+ years
Education Bachelor's degree in Computer Science, Math, Statistics, Actuarial Science, or related field; Master's or PhD preferred
Category AI & Machine Learning

The Vice President of AI and Emerging Analytics leads AI/ML strategy and delivery across the region, managing a team of data scientists, ML engineers, and data engineers to develop data-driven solutions for insurance operations. The role emphasizes governance, ethics, and collaboration with regional executives.

  • Strategic Leadership: develop region's long-term AI/ML strategy
  • Team Leadership: mentor data scientists, ML engineers, and data engineers
  • Governance & Compliance: ensure regulatory and ethical AI principles
  • Financial Management: manage annual budget for Emerging Analytics
  • Technology & Partnerships: evaluate and adopt new technologies, manage external partners

Leadership in AI/ML initiatives with deep insurance domain knowledge; extensive experience with cloud platforms (AWS/Azure/GCP), big data tech (Snowflake, Databricks, Spark), and modern AI tools (LLMs, LangChain, transformer architectures).

The ideal candidate is a senior analytics leader with 15+ years of experience delivering AI/ML initiatives in the insurance industry, including managing large teams and cloud-based deployments. They should translate business strategy into data-driven products, possess deep actuarial knowledge, and communicate effectively with regional executives.

15+ years analytics experienceLeading large-scale AI and machine learning initiatives in a Fortune 500 environmentDeep understanding of insurance industry dynamicsStatistical modeling and data engineering principlesExperience managing and scaling data science teamsProficiency with cloud platforms (AWSAzureGCP) and big data technologiesStrong communication and cross-functional collaboration
Master's degree or PhD in related fieldsExperience with large language models and generative AI systemsLangChain/LangGraph/DSPy/LlamaIndex experienceExperience deploying AI in enterprise settingsActuarial domain knowledge
SnowflakeDatabricksSparkAWSAmazon Web ServicesAzureGoogle Cloud Platform
15+ years analytics experienceAI/ML leadershipcloud platforms (AWSAzureGCP)data sciencedata engineeringSnowflakeDatabricksSparkPythonRSQLNLPTime Seriesactuarial knowledgegovernance
AIArtificial IntelligenceMachine LearningData ScienceData EngineeringDockerKubernetesPythonRSQLSnowflakeDatabricksSparkAWSAmazon Web ServicesAzureGoogle Cloud PlatformTableauPower BINatural Language ProcessingTime SeriesActuarial ScienceActuarial knowledgeCloud platforms
Strategic thinkingLeadershipExecutive communicationStakeholder managementInnovationAdaptability

Preferred

PMP
Industry Insurance
Job Function Lead regional AI and Emerging Analytics initiatives and team to drive data-driven business improvements in insurance
Role Subtype Executive leadership
Tech Domains Amazon Web Services, Azure, Google Cloud Platform
VP AI & Emerging Analyticsartificial intelligencemachine learningdata sciencedata engineeringcloud platformsawsamazon web servicesazuregoogle cloud platformsnowflakedatabrickssparknlpnatural language processingtime seriesactuarial scienceactuarial knowledgemlopsllmtransformer architecturesgenerative AItableaupower bipmpexecutive communicationAIArtificial IntelligenceMachine LearningData ScienceData EngineeringSnowflakeDatabricksAWSAzureGoogle Cloud Platform

Less than 15 years analytics experience, No experience leading AI/ML initiatives in insurance, Lack of cloud/MLOps experience

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