✦ Luna Orbit — Data & Analytics

Untitled Position

at Company

Unknown Posted March 29, 2026
Type Full-Time
Experience executive
Exp. Years 15+ years
Education Bachelor's degree in Computer Science, Math, Statistics, Actuarial Science, Finance, Economics, or related field
Category Data & Analytics

VP, AI & Emerging Analytics leads AI/ML and advanced analytics initiatives across the region, managing a team of data scientists, ML engineers, and data engineers to deliver data-driven solutions and scalable AI products.

  • Strategic Leadership
  • Team Management
  • Project Oversight and Delivery
  • Technical Leadership and Innovation
  • Governance and Compliance

Strategic leadership in AI/ML, data science, and data engineering; hands-on experience with modern data platforms (Snowflake, Databricks), cloud services (AWS/Azure/GCP), and toolchains for LLM workflows and MLOps.

The ideal candidate is a senior executive with 15+ years in analytics and 5+ years leading enterprise AI/ML programs in the insurance/reinsurance space, with deep expertise in Python/R/SQL, cloud platforms (AWS/Azure/GCP), and modern data tooling (Snowflake, Databricks). Strong leadership and strategic execution skills are essential.

Bachelor's degree in Computer ScienceMathStatisticsActuarial ScienceFinanceEconomics or related field15+ years of analytics experience5+ years leading AI/ML initiatives in Fortune 500 environmentsDeep understanding of insurance industry dynamicsStrong modeling and ML algorithms knowledgeProficiency with Python/R/SQLCloud platforms (AWS/Azure/GCP) and big data tech (SnowflakeDatabricksSpark)
Master's or PhD in a related fieldExperience with generative AI systemsLangChain/LlamaIndex experienceNLP/Computer Vision applications in enterpriseGraph databases
Bachelor's degree in Computer ScienceMathStatisticsActuarial ScienceFinanceEconomics or related field; 15+ years analytics; 5+ years leading AI/ML initiatives; ML algorithms; statistical modeling; cloud platforms (AWSAzureGCP); Snowflake; Databricks; Spark; Python; R; SQL; LangChain/LangGraph/DSPy/LlamaIndex; NLP; Docker; Kubernetes
PythonRSQLTableauPower BITensorFlowPyTorchscikit-learnSnowflakeDatabricksSparkAWSAmazon Web ServicesAzureGoogle Cloud PlatformGCPKubernetesDockerLangChainLangGraphDSPyLlamaIndexNLPNatural Language ProcessingTime SeriesEconometricsActuarial ScienceTableauPower BI
leadershipteam managementcommunicationstrategic thinkingstakeholder managementpresentation to executivescollaborationproblem-solvingadaptability
Industry Insurance
Job Function Executive leadership of AI and emerging analytics initiatives, overseeing teams of data scientists, ML engineers, and data engineers
Role Subtype Executive & General Management
Tech Domains Python, R, SQL, Tableau, Power BI, Amazon Web Services, Azure, Google Cloud Platform, Snowflake, Databricks
VPAI & Emerging AnalyticsRGAInsuranceData scienceAIMachine learningLangChainLlamaIndexDatabricksSnowflakePythonRSQLAWSAzureGoogle Cloud PlatformBig dataCloud platformsNLPTableauPower BIai & emerging analyticssnowflakedatabrickssqlpythonrawsgoogle cloud platformpower bitableau

Lack of 15+ years analytics experience, No experience leading large AI/ML initiatives, No experience in insurance/reinsurance, No proficiency with SQL/Python/R

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