AI & Data Intelligence Supervisor
Pinnacle Bank · Gretna, NE · 5 days ago
Information TechnologyFull-time
General Summary
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.
- 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.
- Cook with internal departments to understand data and reporting needs.
- Cook 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.
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.