Investment Data Strategy Lead

DataAnalystJobs; Columbus (OH); Hybrid; USD 100,000 - 168,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Life Insurance

Short/Long Term Disability

PTO 18 days/year

Nine Holidays

Lifetime PTO

Unity Day PTO

401(k) Match

Pension Plan

Business Casual

Job summary

Nationwide is seeking an Investment Data Management professional to bridge business and Technology, shaping data strategies and governance across the data ecosystem. This role drives data quality, lineage, and access controls to support data-driven investment decisions.

You will act as the data-related voice of the customer, translate analytic requirements, lead UAT, and coordinate with Technology and business stakeholders to ensure secure, scalable data solutions.

Qualifications

• 6-10 years of relevant experience with data management organization/standards.
• Experience engaging business leaders, data architects and external consultants to identify and fill gaps in data and analytics environment.
• Proficient in data acquisition, data wrangling and/or data visualization techniques and tools (i.e., SQL, R, Python, Tableau, Power BI, etc.), and cloud technologies – Azure and AWS (i.e., Redshift, S3, EC2, etc.).
• Experience in statistical analysis, interpreting results in determining data quality and fit for purpose.
• Insurance/financial services industry knowledge a plus.

Responsibilities

• Identifies, executes, and communicates data strategy opportunities, defining long-term goals and key performance indicators to further a data-driven culture in support of business priorities.
• Consults and provides direction on acquisition, curation, and consumption of data for analytical and operational uses, producing data source documentation and assisting with development and maintenance of reference data and mastering rules to ensure a single version of the truth across all data consumers.
• Collaborates on mapping the end-to-end flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.
• Develops collaborative relationships with business, Technology, and vendor partners, communicating data impacts and promoting transparency around data issue identification and resolution.
• Prompts data, reporting and analytic requirements from business requestors to generate solutions.
• Participates in planning and execution of UAT, triage issues and works with development team on remediation approach to ensure data integrity.
• Performs 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.
• Uses moderate to complex visualization techniques and skills to present data in support of business needs.
• Enforces data governance structure, standards, and procedures to ensure data is well-defined, consistent, accurate, accessible, and secure.
• Governs all data access requests and has final right of refusal for accesses.
• Demonstrates knowledge and understanding of investment asset classes, and those data elements most critical to support business processes.
• Integrates emerging data and analytic trends, competitive research, and industry best practices into Nationwide.

Skills

SQL

Python

R

Tableau

Power BI

Data Visualization

Education

Bachelor's degree or related field

Tools

Snowflake

Databricks

Azure

AWS

Redshift

S3

Job description

Nationwide is seeking an Investment Data Management professional to bridge business and Technology, shaping data strategies and governance across the data ecosystem. This role drives data quality, lineage, and access controls to support data-driven investment decisions.

You will act as the data-related voice of the customer, translate analytic requirements, lead UAT, and coordinate with Technology and business stakeholders to ensure secure, scalable data solutions.