Senior Data Governance Advisor – Metadata and Reference Data (Pet)

Are you passionate about being part of a team that delivers extraordinary care to help individuals and businesses prepare for and protect their retirement? If so, then Nationwide Financial could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

• Collaboration is the key word for success.
• You will work closely with existing team members, our IT and business counterparts, and the Data and AI/ML/Robotics Product Owners to bring Pet’s data and AI strategy to life.
• This is a somewhat technical role that treats data as one of Pet’s most vital assets.
• You will integrate and operationalize our governance tools—Manta, Alation, Anomalo, BigID, and Semarchy—and align them to the Harmonized Layer and the Tailwind Flagship AI program to accelerate trustworthy AI and analytics delivery. 

• This is not a typical governance role: we aim to embed rich metadata into acquisition and lifecycle processes to automate discovery, power self-service insight into data quality and other data fitness signals, and create a vibrant, intuitive data experience for our consumers.
• You don’t have to have a pet to be on the team—but if you do, we expect pictures. This is your opportunity to elevate data as a living enhancement to everyday life at Pet. 

This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.

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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: 

• Acts as top-level technical expert in the implementation of the Enterprise Data Governance policy, vision, strategy, tactical plans and service offerings for their assigned Auditable Business Unit(s).

• Responsible for data improvement, accuracy, validity, reliability, timeliness, relevance, completeness, and compliance.

• Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.

• Oversees the development of standards to identify critical data issues and ensure data policy enforcement and compliance.

• Drives risk mitigation efforts by performing data risk assessments and developing recommendations to resolve the issues. 

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

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

• Provides top-level technical support and/or consultation on the Enterprise Data Governance applications.

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

May perform other responsibilities as assigned.

Reporting Relationships: Reports to AVP