Information Management Analyst - Mid Level

USAA•Charlotte, NC

7d•Hybrid

About The Position

USAA is hiring a mid-level Information Management Analyst to manage and analyze information using a variety of techniques and tools. The role supports business owners and technical teams in managing data, including master and reference data, in compliance with USAA policies, standards, procedures, and applicable laws and regulations. The analyst may support metadata management, data quality, retention management, or data security. Work may include logging data sources, supporting authoritative data source certification, ingesting metadata and lineage into the Enterprise Data Repository, overseeing data quality, monitoring service-level agreements and data quality measures, tracking remediation times, and monitoring material changes that may require recertification. This position requires working in the office four days per week and may be based in San Antonio or Plano, Texas; Phoenix, Arizona; or Charlotte, North Carolina. Relocation assistance is not available. The role does not offer visa sponsorship.

Requirements

Bachelor's degree in a business or science field, or four years of relevant education and/or experience.
Four years of experience in an information management practice, business application function, or data delivery; alternatively, two years of experience in a data and analytics, technical, or business-relevant function with an advanced degree in a business or science discipline.
Basic working experience following data management practices and theories and using tools to address data management risks and concerns.
Intermediate working knowledge of SQL, including SQL-based languages.
Ability to build business knowledge through meaningful partnerships at individual contributor and leadership levels.
Skills in understanding and correcting data discrepancies, identifying data anomalies, and conducting root cause analysis.
Advanced communication skills, including the ability to deliver presentations to all levels of management.

Nice To Haves

Experience governing enterprise AI capabilities, including AI agents, generative AI solutions, and intelligent automation platforms.
Knowledge of data governance frameworks, control environments, and data trust practices.
Hands-on experience with Alation, Bigeye, or similar governance and observability platforms.
Experience managing structured and unstructured data assets across complex enterprise ecosystems.
US military experience gained through military service or as a military spouse or domestic partner.

Responsibilities

Identify opportunities for process improvements across information management responsibilities and processes.
Participate in, and possibly lead, cross-functional discussions to improve consistency, efficiency, and effectiveness in information management.
Participate in developing best practices and tools based on business needs.
Maintain information asset inventories and ensure data and assets are classified appropriately.
Support delivery of information in accordance with information governance standards and data management practices through documentation, collaboration, and execution of defined processes.
Partner with governance, technology, and business teams to identify critical data and develop data quality rules.
Maintain the metadata repository and appropriate metadata associations.
Develop process improvements and enhancements to mitigate data quality risks, including developing data quality plans, implementing rule checks, and monitoring results, reports, and dashboards as appropriate.
Document and update data quality corrective action plans.
Support compliance assessments by reviewing and documenting failures from data quality compliance checks.
Create and maintain reference data according to defined processes and procedures.
Help define and drive implementation of processes and enhancements to mitigate data quality risks.
Identify and escalate items that may pose a corporate risk as part of the compliance assessment process.
Support privacy initiatives through classification, tagging, and analysis of sensitive data.
Ensure sensitive data is compliant and remediated according to defined policies and processes.
Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.