AI & Data Intelligence Supervisor

GENERAL SUMMARY: Leads the design, governance, and evolution of the organization’s enterprise data and AI ecosystem. This role is accountable for establishing a single source of truth for enterprise data, enabling scalable analytics, and ensuring responsible adoption of AI-driven decision systems.

Responsibilities And Duties

• Architect, develop, and maintain data platform, including data pipelines, storage, structure, and access.
• Support the creation and maintenance of standardized datasets for business use.
• Monitor data quality and address data integrity issues
• Maintain documentation related to data definitions, lineage, and reporting processes
• Support governance and oversight of AI tools and solutions used for decision-making
• Ensure AI use aligns with company policies, regulatory expectations, and risk guidelines
• Assist in evaluating and documenting AI-related use cases and controls
• Oversee data conversions, migrations, and ensure high data quality.
• Supervise and provide direction to assigned team members, including workload management and performance oversight
• Work with internal departments to understand data and reporting needs
• Coordinate with Business Automation and 365 Operations teams to ensure alignment and proper ownership of requests
• Participate in intake, prioritization, and tracking of data-related requests
• Evaluate and recommend new technologies, tools, and best practices.
• Perform other duties as assigned.
• Regular and reliable attendance.
• Regularly exercising independent judgement and discretion over matters of significance.
• Communicate effectively in-person and otherwise with all coworkers and customers, both during regular business hours and before and after regular business hours, if necessary.
• Effective communication and collaboration are essential for this role. While remote work may be available periodically, there are times when being in the office is necessary to maintain our collaborative efforts. Therefore, this position cannot be primarily performed remotely.
  
  

KNOWLEDGE, SKILLS, AND ABILITIES:

• Advanced proficiency in SQL and Snowflake.
• Knowledge of data governance, reporting processes, and data quality practices.
• Strong attention to detail and data accuracy.
• Strong leadership, mentoring, and project management skills.
• Ability to manage and prioritize multiple complex projects.
• Problem-solving and analytical thinking.
• Ability to document processes and maintain organized records.
• Excellent communication and decision-making abilities.
  
  

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, or related field.
• 3–5 years of experience in data, reporting, or analytics roles.
• 1–2 years of supervisory or team lead experience.
• Experience working with databases, SQL and Snowflake.
• Experience with AI or automated decision tools.
• Experience in a financial institution preferred.
  
  

PHYSICAL REQUIREMENTS:  NOTE: The statements herein are intended to describe the general nature and level, or work being performed by employees assigned to this classification. They are not intended to be an exhaustive list of all responsibilities, duties, and skills, require of personnel so classified

More Details

Position is located in Gretna, NE and will not be a remote position.