EMO Data and Tech Manager

Huntington National Bank • Tampa, FL

1d • Onsite

About The Position

We are seeking a highly specialized, senior technology professional with expertise in advanced data engineering, analytics, and machine learning initiatives within our Customer Experience (CX) ecosystem for the banking industry. This role requires deep expertise in data visualization, NLP, machine learning, and enterprise-scale data integration, combined with proven project leadership in guiding technical teams and collaborating with business stakeholders—all while ensuring compliance with banking regulations and industry standards. The successful candidate must also demonstrate the ability to communicate effectively with global teams, including offshore development resources, ensuring seamless collaboration across time zones and cultural contexts. This position requires a unique combination of advanced technical expertise, banking regulatory knowledge, and domain-specific experience in customer experience analytics. The successful candidate will drive innovation in AI-powered CX analytics while ensuring compliance with all applicable banking regulations, enabling strategic insights and operational excellence across the organization.

Requirements

• Master’s degree in Computer Science, Data Science, or related field.
• Ability to work on-site at a Huntington office location as defined by company policy.
• Ability to coordinate with offshore teams in South Asia, leveraging cultural and linguistic familiarity, is critical for project success.
• 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.
• Expert-level proficiency in: Tableau (including Tableau Prep) Snowflake and SQL Server ETL development using SSIS and Tableau Prep Python, including NLP and machine learning frameworks
• Proven experience designing and deploying AI-driven solutions for data analytics, including integration of Large Language Models (LLMs) for semantic search, automated classification, and advanced predictive modeling.
• Hands-on experience with Salesforce and Qualtrics data integration for CX analytics.
• Proven track record in data mining for M&A activities.
• Strong knowledge of AWS cloud services and Zena scheduling.
• Demonstrated ability to lead technical teams and work effectively with business stakeholders in an Agile environment.
• Comprehensive understanding of banking regulations and compliance requirements, including: UDAAP (Unfair, Deceptive, or Abusive Acts or Practices) GLBA (Gramm-Leach-Bliley Act) for data privacy Fair Lending and ECOA (Equal Credit Opportunity Act) Regulation E (Electronic Fund Transfers) Regulation Z (Truth in Lending Act)
• Familiarity with oversight by regulatory agencies such as: CFPB (Consumer Financial Protection Bureau) OCC (Office of the Comptroller of the Currency) FDIC (Federal Deposit Insurance Corporation)

Nice To Haves

• Experience with AI-driven complaint classification and sentiment analysis.
• PySpark for distributed data processing
• Familiarity with data governance frameworks and regulatory reporting standards.
• Advanced knowledge of customer experience metrics and VoC ecosystems in financial services.
• Six Sigma Black belt certification.

Responsibilities

• Design, develop, and optimize Tableau dashboards and Tableau Prep workflows for enterprise CX reporting and analytics.
• Architect and maintain data pipelines leveraging Snowflake, SQL Server, SSIS, Tableau Prep, and PySpark for large-scale data processing.
• Implement advanced NLP and machine learning models in Python to classify, predict, and analyze customer complaints and survey data from Salesforce and Qualtrics.
• Ensure all analytics and reporting processes comply with banking regulations and demonstrate practical implementation experience, including UDAAP-compliant complaint classification and GLBA-compliant data handling.
• Lead data mining and analytics projects for Mergers & Acquisitions, ensuring accurate insights for strategic decisions in a regulated environment.
• Develop and deploy ETL processes for complex, multi-source environments, ensuring data quality and governance.
• Utilize AWS services and Zena scheduling tools for cloud-based data operations and automation.
• Collaborate with business users in an Agile environment, translating requirements into scalable technical solutions.
• Mentor and guide junior developers, fostering best practices in data engineering and analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level