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Part Time Enterprise Data Management Jobs Near Me

Munich Re

Data and AI Enterprise Architect

Columbus, OH · On-site

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Judge Group, Inc.

DATA PLATFORM MANAGER

Columbus, OH · On-site

$50 - $60/hr

Work closely with technology and business stakeholders to architect and enable a robust enterprise data ecosystem. * Champion data governance, data quality, and modern data management practices ...

BakerHostetler

Data Solutions Engineer

Columbus, OH

$110K - $132K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

Agility Partners

Data Platform Manager

Columbus, OH · On-site

Understanding of data governance, data management practices, data quality, and enterprise data architecture * Experience with DevOps methodologies, continuous delivery, infrastructure as code, and ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. * Experience with data governance and data management approaches, including data quality. * Experience with business ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. Experience with data governance and data management approaches, including data quality. Experience with business intelligence ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. * Experience with data governance and data management approaches, including data quality. * Experience with business ...

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How much do part time enterprise data management jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for part time enterprise data management in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

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Part Time Enterprise Data Management jobs near you
A map of the United States highlighting the number of Part Time Enterprise Data Management job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Part Time Enterprise Data Management job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Enterprise Data Architect

Kemba Financial Credit Union

Columbus, OH

Full-time

Posted 16 days ago

Kemba Financial Credit Union rating

8.3

Company rating: 8.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Title: Enterprise Data Architect
Reports to: Chief Technology Officer
Supervises: Business Intelligence Analyst, Data Engineer, Data Analyst, Sales & Marketing Analyst
Status: Exempt
Objective
The role of the Enterprise Data Architect is to expand the companys use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Architect will achieve this by strategically designing, developing, and implementing data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modeling methodologies and data processing best practices.
Duties and Responsibilities
  • Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
  • Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
  • Establishes processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
  • Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement
  • Conducts data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
  • Creates strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
  • Ensures that data strategies and architectures are in regulatory compliance
  • Ensures the success of enterprise-level application rollouts (e.g. ERP, SCM, CRM, SAP, PeopleSoft, etc.)
  • Liaises with vendors and service providers to select the products or services that best meet company goals
  • Assesses and determines governance, stewardship, and frameworks for managing data across the organization
  • Develops and promotes data management methodologies and standards
  • Selects and implements the appropriate tools, software, applications, and systems to support data technology goals
  • Oversees the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
  • Collaborates with project managers and business unit leaders for all projects involving enterprise data
  • Addresses data-related problems in regards to systems integration, compatibility, and multiple-platform integration
  • Acts as a leader and advocate of data management, including coaching, training, and career development to staff
  • Develops and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
  • Documents the data architecture and environment in order to maintain a current and accurate view of the larger data picture
  • Identifies and develop opportunities for data reuse, migration, or retirement
  • Performs all duties in a manner that is fully compliant with applicable industry regulations as well as KEMBA policy and procedures
  • Develops an understanding of Credit Union history, philosophy, organization, policies, and operational procedures
  • On a self-direct basis, continues to improve individual level of competency through training and certification on established educational programs
  • Relates to others beyond giving and receiving instructions:
    • Communicates with coworkers or peers without exhibiting behavioral extremes
    • Performs work activities requiring negotiating, instructing, supervising, persuading, or speaking with others
    • Responds appropriately to criticism from a supervisor
  • Performs other duties as required by management
Required Qualifications
  • College diploma or university degree in computer science, information systems, or computer engineering
  • Certifications in applicable data engineering and analytical tools
  • 5 years work experience as a data or information architect
  • Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis
  • Direct experience in implementing enterprise data management processes, procedures, and decision support
  • Strong understanding of relational data structures, theories, principles, and practices
  • Strong familiarity with metadata management and associated processes
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on
  • Ability to manage data and metadata migration
  • Experience with database platforms
  • Understanding of Web services (SOAP, XML, UDDI, WSDL)
  • Object-oriented programming experience (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.).
  • Excellent client/user interaction skills to determine requirements
  • In-depth technical knowledge of network, PC, and platform operating systems, including Windows, Linux, AIX
  • Working technical knowledge of current systems software, protocols, and standards, including HTTPS, FTPS
  • Experience with data processing flowcharting techniques
  • Proven project management experience
  • Good knowledge of applicable data privacy practices and laws
  • Strong written and oral communication skills
  • Strong presentation and interpersonal skills
  • Ability to present ideas in user-friendly language
  • Ability to lead a team in multiple projects
Physical Demands
The physical demands listed below represent those necessary to perform the essential functions of this role. Reasonable accommodation may be provided to enable individuals with disabilities to perform these functions.
The employee is regularly required to sit, use their hands, reach with arms, and communicate verbally and orally. Occasional standing, walking, and lifting of objects up to 25 pounds are required. Vision requirements include close, distance vision, and focus adjustment.
Eligibility
Laptop: Yes
Remote/Hybrid Work: Yes
Cell Phone Reimbursement: Yes
Vehicle Reimbursement: No
Incentive(s): Yes
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