If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide’s Information Technology team could be the place for you!

　　The ideal candidate is someone who is a quick learner with good organizational skills. They should a thought leader in the areas of Data Quality and Data Cleansing. 

　　Experience in the following areas is preferred:

　　Building Data Quality rules and scorecardsAssisting with data quality remediationUnderstanding of data governance and data quality frameworkAssisting with root cause analysis Communicates upstream and downstream impact to the business Knowledge on working with Data Quality tools like Informatica and Collibra. Ability to lead data quality projects and work with teams outside of the EDO.

　　Compensation Grade: G

　　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.

　　Job Description

　　Key Responsibilities: 

　　Provides expert technical support to implement the Enterprise Data Governance policy, vision, strategy, tactical plans and service offerings for their assigned Auditable Business Unit(s).

　　Improves data accuracy, validity, reliability, timeliness, relevance, completeness, and compliance.

　　Supports development of standards to identify critical data issues and ensure data policy enforcement and compliance.

　　Partners with experts to identify and mitigate risk by performing data risk assessments and developing recommendations to resolve the issues.

　　Contributes to the enterprise or Auditable Business Unit(s) data governance communication and change plans.

　　Implements the information management lifecycle within their assigned Auditable Business Unit(s).

　　Provides technical support and/or consultation on the Enterprise Data Governance applications.

　　Executes metadata management initiatives, including technical data lineage, data quality and profile development.​

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

　　Knowledge, Abilities and Skills:  Data application and practices knowledge. Ability to read a data model and reference data architecture.  Strong oral and written communication skills. Ability to build relationships, facilitate meetings and influence others.

　　Other criteria, including leadership skills, competencies and experiences may take precedence.

　　Staffing exceptions to the above must be approved by the hiring manager’s leader and HR Business Partner.

　　Values:  Regularly and consistently demonstrates the Nationwide Values.

　　Job Conditions: 

　　Overtime Eligibility: Exempt (Not Eligible).

　　Working Conditions: Normal office environment.

　　ADA:  The above statements cover what are generally believed to be principal and essential functions of this job.  Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.