Manager, Data Leader

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! 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.

If you are passionate about the importance of data in meeting our Enterprise business objectives and in driving the adoption of newer technologies and data capabilities, then we have a great opportunity for you.  As a member of the Enterprise Data Office, the Data Leader partners with our Technology and Business teams to successfully implement key data initiatives across Nationwide.  In addition to supporting data pipeline development for structured data consumed by multiple downstream customers, the Data Leader is also responsible for creating and standing up data pipelines supporting use of unstructured data and machine learning models.  In this role, you will also provision and procure internal and external data engineers with needed skills to deliver on our partners’ complex data initiatives.  And in the spirit of ensuring we have a future-ready workforce, the Data Leader continuously executes plans to upskill our resource pool on niche data skills and evolving technologies.

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

• Successful history of project delivery accomplishments, with first-hand experience in scoping, estimating, and leading data efforts.

• Practitioner-level experience with data tools and technologies (e.g. data querying, data analysis & profiling, data wrangling, data integration, and/or data visualization) is highly desired.  Intermediate or higher skill developing custom SQL queries is required.

• Successful history of coaching and uplifting both technical and soft skills of assigned team. Measures and manages the quality and timeliness of work of direct reports.

• Supports maturing Nationwide IT capabilities and promotes reusable processes and work products.  Demonstrated success at applying standardized automation, secure data practices, and quality routines to data pipelines and information reporting solutions.

• Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations.

• Ability to cultivate strong relationships and influence others in direct and matrixed work alignments.

• Demonstrated skill working directly with business partners, SMEs, and systems peers to elicit details related to pain points and gaps, as well as functional and/or data requirements needed to achieve desired capabilities.

• Identification of innovation opportunities involving application of Data Ops and Generative AI capabilities for both business enablement and IT Ops use cases.

• Critical thinking, excellent communication, detail-oriented, team-first attitude, creative and adaptive.

• Insurance and Financial domain experience is a plus.

• Experience working in an Agile environment using Lean, Kanban and/or Scrum practices.

Compensation grade G5

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 Leader you’ll hire, lead, coach, deploy, and re-deploy data professionals. You’ll enable effective and efficient data analysis and modeling delivery through skill readiness and best practices. This position ensures the right resources with the appropriate skills are aligned to the right work and are focused on building and implementing best data and modeling practices.

Job Description