If you are passionate about turning complex data into meaningful, consumable, and well-governed information that supports decision making, then we have a great opportunity for you.

As a member of the Enterprise Data Office, the Data Designer works closely with business stakeholders, Dev Line partners, Data Architects, platform owners, and other internal teams to identify analytical needs, evaluate source data, and design the data structures, mappings, and visualizations needed to support business outcomes.

This position combines hands-on data analysis, profiling, and modeling with a strong understanding of business processes and the desired capabilities of the teams we support. It includes mapping data flows and technical interfaces, documenting source-to-target mappings, defining conceptual, logical, and physical data models, and providing insights and recommendations that improve data quality, usability, and readiness for consumption. The role also requires partnership across technology and business teams to ensure new and evolving solutions aligned to governance, security, and transformation standards.

A successful candidate should possess the following skills and/or experience:

• Collaboration Effectiveness - demonstrated skill working directly with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to elicit data requirements and design appropriate data models that align with business needs.
• Translating current and future business requirements into conceptual, logical, and physical data model designs. Proficiency in utilizing standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, PowerDesigner, etc.).
• Structured execution of data analysis, data profiling, and data mapping tasks.
• Ensures referential integrity is maintained via data modeling design and data quality recommendations.
• Ensures data governance practices are followed during model creation to support efforts such as data cataloging, taxonomy, data lineage, and data quality.
• Designing data models for multiple distinct patterns (e.g. relational, dimensional, hybrid) associated with data warehouse, BI, and large data applications.
• Creation of net new data models and extension of existing across multiple DBMS platforms (e.g. Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL, Neo4j).
• Ability to understand and explain complex data integration and extraction / transformation / load processes.
• Demonstrated experience identifying and resolving data model performance issues to optimize database performance and enhance overall system functionality.
• Documenting and communicating data model designs and standards to ensure understanding and compliance with expectations for interoperability across the organization.
• Fluency in Python, SQL, and Unix. High proficiency with generating complex SQL queries is required.
• Version control of databases and metadata management tools (e.g. Git, Liquibase, etc).
• Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations.
• Experience working in an Agile environment using Lean, Kanban and Scrum practices.
• Insurance and Financial domain experience is highly desired.

It is our intention to fill this role in Columbus, Ohio on a hybrid schedule. However, on occasion, applications from internal candidates working remotely who bring critical industry skills and relevant experience may be considered.

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 Designer you'll process, organize, structure or present data to make it meaningful for business decision making and to position data-intensive projects/programs for success. You'll be an integral part of a project, program or team and perform a variety of tasks related to identifying business partners' analytical needs and obtaining, collecting, organizing and interpreting data. You'll perform analysis and interpret results, providing insights and recommendations. This may take the form of thematic maps, reports, charts, tables and other analytic visualization.

Job Description

Key Responsibilities:

• Evaluates information from multiple sources, provides recommendations, reconciles conflicts, cleans data into a consumable format and classifies the information into logical categories.
• Uses moderate to complex visualization techniques and skills to present findings of data exploration exercises.
• Maps the flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.
• 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.
• Documents the source to target mappings for data integration and web services.
• Ensures alignment with data quality and transformation rules and develops infrastructure and/or other tools to communicate mapping to relevant groups.
• Identifies and documents the sources of existing and new data.
• Works with enterprise partners to conduct complex data profiling using standardized tools.
• Key contributor in the creation or reviews conceptual, logical and physical data models and determines the most appropriate method to represent the data for business consumption/use.
• Performs data modeling across a variety of DBMS platforms and is capable of tuning the model for desired performance characteristics based on those specific technology platforms.
• Proactively consults and provides recommendations and direction on data needs.
• Manages data, performs analyses, interprets results, and provides insights and recommendations to internal clients
• Creates thematic maps, reports, charts, tables, and other analytic visualization to support business needs
• Ensures compliance with the Enterprise Data Governance policy and standards on information risk and data protection guidelines.
• Recommends and executes changes in data analytics; including methodologies, practices, and tools.

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 to eight years of relevant experience with data quality rules, data management organization/standards or practices. Experience in statistical analysis, interpreting results in determining data quality and fitness. Wide experience using data quality results to determine whether existing sources of data are enough for business needs. Experience with recommending alternate data sources and data modeling. Insurance/financial services industry knowledge a plus.

Knowledge, Abilities and Skills: Data application and practices knowledge. Solid decision making, oral and written communication skills. Ability to influence, negotiate and set priorities needed.

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.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.

The national salary range for Consultant, Data Designer : $118,000.00-$222,000.00

The expected starting salary range for Consultant, Data Designer : $118,000.00 - $178,000.00