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USAA

Sells insurance and banking to military families

Information Management Analyst Senior

Data ManagementPosted on Nov 12
Full-time

About the Job

Requirements

  • A bachelor's degree in a business or science field, or four years of relevant education and/or experience.
  • Six years of experience in an information management practice, business application function, or data delivery; alternatively, four years of experience in data and analytics, a technical function, or a business-relevant function with an advanced degree in a business or science discipline.
  • Experience applying data management practices and tools to address data management risks and concerns during the data lifecycle.
  • Intermediate knowledge of SQL, including SQL-based languages.
  • Ability to build business knowledge through partnerships with stakeholders at individual contributor through executive levels.
  • Ability to lead analysis and resolution of problems or issues and identify when and how to escalate them.
  • Experience synthesizing information, data, and research to recommend information management initiatives that meet business goals.
  • Ability to deliver presentations to all levels of management, including concise presentations of complex technical details.

Responsibilities

  • Identify and implement process improvements across Information Management Analyst responsibilities and processes within the data spoke.
  • Lead cross-functional discussions related to program implementation, adherence, and strategic enhancements.
  • Align best practices and tools with business needs to improve the efficiency and effectiveness of the Information Management Program.
  • Update Information Asset Inventories and validate that data and assets are classified appropriately.
  • Support delivery of information in accordance with Information Governance standards and data management practices.
  • Integrate Information Management practices into existing processes, including new and emerging information technologies.
  • Review and validate the metadata repository and metadata associations, and improve metadata to add organizational value.
  • Support Data Lineage collection and stitching to ensure complete end-to-end data flow for critical data.
  • Review, validate, and assess data quality rules, thresholds, and standard metrics for data elements, and drive enhancements that support critical business processes.
  • Develop process enhancements to mitigate data quality risks, including developing data quality plans, implementing data quality rule checks, and monitoring data quality results, reports, and dashboards as appropriate.
  • Identify and maintain data quality corrective action plans.
  • Support compliance assessments by reviewing and documenting failures from data quality compliance checks.
  • Analyze root causes to identify existing or emerging risks and opportunities to strengthen controls and reduce residual data quality risks.
  • Recommend Master and Reference Data processes and procedures aligned with Enterprise Policies and Standards.
  • Help implement data initiatives within the data spoke that mitigate data risk, and conduct root cause analysis to identify areas for improvement.
  • Manage the quality and maintenance of master data as it is created.
  • Partner with IT and Legal to ensure data archiving and purging comply with legal requirements.
  • Support compliance assessments by identifying and escalating items that may pose a corporate risk.
  • Lead privacy initiatives through classification and analysis of sensitive data.
  • Identify and influence process improvements across Information Management Analyst and/or Stewardship responsibilities and processes across data spokes.
  • Assist the Steward, or as the Steward, design data quality rules, thresholds, and standard metrics for data elements supporting critical business processes in complex situations.
  • Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Desired Qualifications

  • Ability to define and operationalize data management strategies, standards, controls, and metrics, focusing on measurable risk reduction, regulatory alignment, and sustainable adoption.
  • Experience in complex data management, risk, compliance, and regulatory environments, translating strategic objectives and requirements into practical, measurable execution.
  • Ability to build cross-functional partnerships and influence outcomes across business, technology, risk, governance, and data stakeholder groups.
  • Knowledge of data management practices and capabilities, including metadata management, data quality, data lineage, data lifecycle and retention, data controls, and data risk management.
  • Proficiency with data management and data quality platforms such as Alation and Bigeye, including using them to operationalize metadata, data quality monitoring, governance requirements, and risk management.
  • Experience leading complex, cross-functional data initiatives, including establishing accountability, managing dependencies, resolving issues, and driving execution across multiple organizations.

About the Company

USAA

Sells insurance and banking to military families

USAA sells insurance, banking and investment products to U.S. military members, veterans and their families, and membership is limited to that community and eligible relatives. It began when Army officers who struggled to get car coverage agreed to insure each other, and auto and home insurance remain its core business. Members can also open checking and savings accounts, carry credit cards, take out auto loans and mortgages, and buy life insurance, annuities and retirement accounts. The company earns money from insurance premiums, loan interest, card fees and investment management. USAA was founded in 1922 and is based in San Antonio, Texas.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
San Antonio, TX
Founded
1922

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