✦ Luna Orbit — AI & Machine Learning

EMO Data and Tech Manager

at Huntington Bank

📍 Tampa, FL, US Remote Posted April 15, 2026
Type Not Specified
Experience senior
Exp. Years Minimum 5 years and Minimum 8 years
Education Master’s in Computer Science, Data Science, or related field
Category AI & Machine Learning

This role leads data engineering and AI/ML analytics for a bank’s Customer Experience (CX) ecosystem. You will deliver enterprise Tableau reporting, build regulated, governed data pipelines, and implement NLP and machine learning models to analyze customer complaints and survey data.

  • Design and optimize Tableau dashboards and Tableau Prep workflows for CX reporting
  • Architect data pipelines with Snowflake, SQL Server, SSIS, Tableau Prep, and PySpark
  • Implement Python-based NLP and machine learning models using Salesforce and Qualtrics data
  • Ensure analytics and data handling comply with UDAAP and GLBA requirements
  • Lead ETL and data governance for complex multi-source environments

You will design and maintain pipelines using Snowflake, SQL Server, SSIS, Tableau Prep, and PySpark, and implement advanced NLP and machine learning in Python. The role also uses AWS services and Zena scheduling for cloud-based automation, while ensuring UDAAP and GLBA compliance.

The ideal candidate is a senior data engineering and AI/ML analytics leader with 5+ years delivering AI/ML-driven analytics in a regulated banking environment and 8+ years in enterprise data engineering. They build Tableau dashboards and Tableau Prep workflows, architect pipelines using Snowflake, SQL Server, SSIS, and PySpark, and implement Python-based NLP and machine learning models using Salesforce and Qualtrics data while ensuring UDAAP and GLBA compliance.

Minimum 5 years of experience delivering AI/ML-driven analytics in a regulated banking environment.Minimum 8 years of experience in enterprise data engineering and analytics within the financial services industry.Master’s degree in Computer ScienceData Scienceor related field.Ability to work on-site at a Huntington office location as defined by company policy.
TableauTableau PrepSnowflakeSQL ServerSSISPySparkPythonSalesforceQualtricsAWSZenaAgile
TableauTableau PrepSnowflakeSQL ServerSSISTableau PrepPySparkPythonNLPmachine learning modelsSalesforceQualtricsETLdata qualitydata governanceUDAAP-compliant complaint classificationGLBA-compliant data handlingAWSZena scheduling toolsAgile
TableauTableau PrepTableau dashboardsTableau Prep workflowsSnowflakeSQL ServerSQLSSISPySparkPythonNLPmachine learning modelsdata miningETLdata pipelinesdata visualizationenterprise-scale data integrationdata qualitydata governanceUDAAP-compliant complaint classificationGLBA-compliant data handlingSalesforceQualtricsAWS servicesZena scheduling toolsAgileproject leadership
communicate effectively with global teamscollaboration with offshore development resourcescross-functional collaboration with business stakeholdersmentoringguiding technical teams
Industry Banking
Job Function Lead regulated CX data engineering and AI/ML analytics delivery for enterprise reporting and insights
Role Subtype Data Engineer
Tech Domains Amazon Web Services, SQL / PostgreSQL, Python, AI & Machine Learning, Tableau, Power BI
EMO Data and Tech Managerdata engineeringanalyticsmachine learningAI/ML-driven analyticsregulated banking environmententerprise data engineeringTableauTableau PrepTableau dashboardsTableau Prep workflowsSnowflakeSQL ServerSQLSSISPySparkPythonNLPdata pipelinesETL processesdata qualitydata governanceUDAAP-compliant complaint classificationGLBA-compliant data handlingSalesforceQualtricsAWSZena scheduling toolsAgile

Master’s degree in Computer Science, Data Science, or related field, Minimum 5 years of AI/ML-driven analytics in a regulated banking environment, Minimum 8 years of enterprise data engineering and analytics in financial services, Ability to work on-site at a Huntington office as defined by company policy

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