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Specialist, Data Governance Advisor

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: OhioX, Inc.
Part Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 85000 - 120000 USD Yearly USD 85000.00 120000.00 YEAR
Job Description & How to Apply Below

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, Nationwide’s Technology team could be the place for you. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Hybrid work schedule
:
This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days per week (Mondays & Wednesdays).

Role purpose
:
The ideal candidate can help our team mature data governance capabilities through strong stakeholder partnership, governance operations, and modern data management practices. The right candidate will bring a blend of advisory skills and hands-on experience with metadata, lineage, catalog, stewardship, and data quality tooling to help teams improve how data is documented, governed, and used across the organization.

Job Description Summary

Nationwide’s industry-leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.

If you have the drive and desire to be part of a future-forward data-enabled culture, we want to hear from you.

As a Data Governance Advisor, you’ll ensure the quality, reliability, security, efficiency, and accuracy of data through the data lifecycle to enable effective reporting and analytics for better and faster decision-making. You’ll ensure adherence to data governance policy, standards and processes including taxonomy, data quality, efficiencies, and usage. Successful candidates have a passion for improving integrity and usability of data assets, resolving data quality issues, creating data definitions, driving consistency in sourcing data and defining critical data elements and collaborating with influencing others to consistently implement data governance policies, process, and standards.

Key Responsibilities:

  • Under minimal supervision supports the data practices for an area or line of business.
  • Assists in minimizing the risk of bad data and improves data accuracy, validity, reliability, timeliness, relevance, completeness, and compliance.
  • Provides technical support and/or consultation on the Enterprise Data Governance.
  • Partners with experts to implement and conduct quality assurance assessments with supporting documentation, working with Auditable Business Unit(s) for risk identification and risk mitigation.
  • Aids in the development of basic to moderate metadata management initiatives, including technical data lineage, data quality and profile development.
  • Supports technical consulting on data standards on implementation of business solutions/efficiencies efforts.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Manager/Director Data Leader.

Typical Skills and Experiences:

Education
:
Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.

License/Certification/Designation
:
Certifications are not required but encouraged.

Experience
:
Five years of relevant experience with data-centric, data governance, data management standards or practices. Experience in use and interpretation of metrics. Experience in analytically-intense, data-intense or data integration project preferred. Insurance/financial services industry knowledge a plus.

Knowledge, Abilities and Skills
:
Data application, practices and benchmark knowledge. Good oral and written communication skills. Ability to build relationships, facilitate meetings and influence others.

Other criteria, including leadership skills,…

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