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Nationwide

Sells insurance, annuities and retirement plans

Investment Professional - Data Governance

Data ManagementConfirmed live in the last 24 hours
Full-timeColumbus, OH, USA$100k - $168k

About the Job

Requirements

  • Undergraduate studies in computer science, management information systems, business, statistics, math, a related field, or comparable experience and education are strongly preferred.
  • Graduate studies in business, statistics, math, computer science, or a related field are a plus.
  • Six to ten years of relevant experience with data management organizations, standards, or practices.
  • Experience engaging business leaders, data architects, and external consultants to identify and fill gaps in data and analytics environments.
  • Proficiency in data acquisition, data wrangling, and/or data visualization techniques and tools, such as SQL, R, Python, Tableau, and Power BI, and in cloud technologies such as Azure and AWS, including Redshift, S3, and EC2.
  • Experience in statistical analysis and interpreting results to determine data quality and fitness for purpose.
  • Knowledge of data applications and practices, with expertise using SQL to perform data analysis; experience with Snowflake and Databricks is preferred.
  • Strong analytical skills and sound decision-making, with attention to detail and accuracy.
  • Effective written and oral communication skills.
  • Ability to work independently and as part of a team.
  • Ability to adapt to rapidly changing technology and apply it to business needs.
  • Expertise in building relationships, facilitating meetings, influencing others, and setting priorities.
  • Knowledge and understanding of investment asset classes and the data elements most critical to supporting business processes.

Responsibilities

  • Partner with business stakeholders and data owners to define data requirements, business terms, ownership, quality expectations, and downstream impacts.
  • Support governance processes, including data-change intake, decision tracking, data dictionary management, CDE review, and governance committee preparation.
  • Lead or facilitate data-quality issue identification, triage, root-cause analysis, remediation planning, and communication.
  • Support data-quality scorecards and measurement relating to completeness, accuracy, timeliness, issue volume, source health, and resolution.
  • Coordinate with Technology and business partners on new and changing data elements, reference data, system enhancements, and reporting improvements.
  • Evaluate data and reporting impacts across a complex ecosystem of platforms and business insight tools.
  • Support CDE, catalog, lineage, and metadata practices in partnership with Enterprise Data Governance.
  • Facilitate working sessions, document decisions, and build shared business understanding through training and knowledge sharing.
  • Identify, execute, and communicate data strategy opportunities, defining long-term goals and key performance indicators to support business priorities.
  • Consult on and provide direction for data acquisition, curation, and consumption for analytical and operational uses; produce data source documentation and assist with development and maintenance of reference data and mastering rules to ensure a single version of the truth across data consumers.
  • Collaborate on mapping end-to-end data flows and the business processes or technical interfaces that would be created or impacted, and recommend solutions or adaptations.
  • Develop collaborative relationships with business, Technology, and vendor partners, communicating data impacts and promoting transparency around data issue identification and resolution.
  • Elicit data, reporting, and analytics requirements from business requestors to generate solutions.
  • Participate in planning and executing user acceptance testing, triage issues, and work with the development team on remediation approaches to ensure data integrity.
  • Perform data management activities, including classifying information into logical categories, generating data lineage, developing data quality and transformation rules, conducting complex data profiling, implementing data monitoring techniques using standardized tools, reviewing daily exceptions, reloading data, and applying data overrides as necessary.
  • Use moderate to complex visualization techniques and skills to present data in support of business needs.
  • Enforce data governance structure, standards, and procedures to ensure data is well-defined, consistent, accurate, accessible, and secure.
  • Govern data access requests and exercise final right of refusal for access.
  • Integrate emerging data and analytics trends, competitive research, and industry best practices into Nationwide.
  • Perform other responsibilities as assigned.

Desired Qualifications

  • Experience with Snowflake and Databricks.
  • Insurance or financial services industry knowledge.

About the Company

Nationwide

Sells insurance, annuities and retirement plans

Nationwide is an insurance and financial services group serving individuals, families and businesses across the United States. Its property and casualty arm covers cars, homes and commercial risks, earning premiums and paying claims. Its Nationwide Financial arm sells annuities, life insurance and retirement plans, earning fees and investment spreads on the savings it manages. Investment returns on the premiums and assets it holds add to its underwriting results across both businesses. The company began in 1926 as Farm Bureau Mutual Automobile Insurance Company, formed by Ohio farmers seeking fairer auto rates, and is headquartered in Columbus, Ohio.

Company size
10,001+
Company stage
Not listed
Total funding
$1.4B
Headquarters
Columbus, OH
Founded
1926

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