Supervisor Enterprise Data Integration
Fargo, Cass County, North Dakota, 58126, USA
Listed on 2025-12-28
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Data Security
Description
Position is Eligible for Remote / Work from Home Opportunity
Department:
App Development - Enterprise Data
Telecommuting Eligible:
Yes
Job Grade: E15
As a condition of employment physical work location must be in one of the 50 states or the District of Columbia.
Notice of Collection & Privacy Policy for Applicants Residing in California:
California Applicant Privacy Policy | Noridian ()
Supervisor Enterprise Data Integration
Job SummaryThe Supervisor of Enterprise Data Integration leads Noridian's Enterprise Data Team, providing strategic and hands‑on technical guidance for the design, development, deployment, and maintenance of Extract, Transform, Load (ETL) processes and business intelligence development. This role ensures secure, efficient and accurate data integration to support the broader organization's business intelligence and operational decision‑making capabilities. Operating in a regulated environment, the Supervisor collaborates across teams to enhance and streamline data management processes and meet internal customer expectations.
EssentialFunctions
- Coaches, develops, motivates, and directs staff in job related skills and personal development through work assignments, direct training, career discussion, and regular feedback
- Mentors team in best practices related to ETL processes, data management, and preparing data for analysis
- Leads and directs team efforts in supporting more complex data engineering and movement needs across the department
- Supports team members in the development of data models and business intelligence artifacts
- Ensures compliance with regulations, data use agreements, and security requirements in all data transfer and integration activities
- Sets and/or confirms timelines, specifications, and technical/quality standards for projects
- Establishes and monitors KPIs to evaluate data pipeline performance, timeliness, and reliability
- Partners with stakeholders to understand priorities and requirements. Manages resources effectively to balance workloads across concurrent projects.
- Collaborates with technical teams, business analysts, leadership, and external customers to ensure accuracy, integrity, and security of data as it flows through the enterprise in support of organizational data‑driven decisions
- Ensures enterprise data movement and storage adhere to compliance standards, including privacy and security regulations, reflect internal Noridian data governance policies and procedures, and align with enterprise architecture and Noridian strategic priorities.
- Supports modernization efforts by identifying and recommending tools, automation, and structure to streamline integration workflows and improve scalability
- Participates in Data Governance efforts by contributing to metadata management, data lineage documentation, and business glossary alignment
- Elevates the department as a subject matter expert on cross‑functional data flow across core systems
- Provides input into Enterprise Data strategy and budget needs; oversees budget for assigned team and continuously monitors team budget, workload, and available resources to ensure efficient and effective team results
- Fosters a collaborative, learning‑oriented team culture with a focus on personal growth and technical excellence
- Other duties as assigned.
- Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Data Science, Information Systems, Business Administration, Economics, a related field, or an equivalent combination of experience and education as determined by HR
- 5 years of experience in designing and implementing data integration and ETL solutions including storing, accessing, processing, and preparing structured and unstructured data for storage and analytics, including 1 year of experience in a supervisor or lead role
- Experience supporting and coaching team members and providing oversight for technical products
- Comprehensive knowledge of data management and governance principles, such as metadata management, data lineage mapping, and data quality
- Knowledge of data integration, reporting, and analytics best practices
- Demonstrated…
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