Data Quality & Assurance Lead

USAA•San Antonio, TX

1d•$164,780 - $314,960•Hybrid

About The Position

As a Data Quality & Assurance Lead, you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support data management efforts with business owners and technical teams. This role will support one or more information management functions in the following areas: Metadata management to ensure information is understood, Data Quality to ensure data is measured and trusted, Retention Management to ensure data is retained and purged appropriately, or Data Security to ensure data is properly secured and handled based on sensitivity and regulatory requirements. Key tasks include documentation data sources, facilitating Authoritative Data Source certification, managing metadata and data lineage within the Enterprise Data Repository, ensuring data quality, monitoring service level agreements (SLAs) and data quality metrics, and overseeing timely remediation efforts. The role also monitors significant changes to ensure timely re-certification. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, or Charlotte, NC. Relocation assistance is not available for this position.

Requirements

Bachelor's degree in a business or science field; OR 4 years of relevant education and/or experience; and
8+ years of experience in in an information management practice, business application function, or data delivery; OR If Advanced degree in a Business or Science discipline, 6 years of experience in data and analytics, technical, or business relevant function.
Demonstrated expertise to develop and implement of Strategies or Processes related to Information Management in complex situations.
Proven experience leading projects or programs in which you applied data management practices and tools to address data management risks and concerns during data lifecycle.
Advanced SQL knowledge including SQL-based languages.
Demonstrated ability to lead efforts of analysis and resolution of problems or issues; identifies when and how to escalate problems to the appropriate level.
Experience in synthesizing key information/data and research in order to recommend information management initiatives that meet business goals.
Experience leading project teams or support teams to define, redefine, or continue management of data.
Experience working in Agile Methodology.
Demonstrated expert communication skills with the ability to deliver presentations to all levels of management including concise presentation of complex technical details.
Indirect leadership of others to deliver results.
Demonstrated information management expertise including experience coaching and mentoring others on information management practices.

Nice To Haves

Financial services, insurance, banking, or other highly regulated industry experience.
CDMP (Certified Data Management Professional) certification preferred.
US military experience through military service or a military spouse/domestic partner.

Responsibilities

Assist IMA Director in ensuring that information management practices are integrated into appropriate business and technology processes in support of the Information Governance policy.
Identify and influence opportunities for process improvements across all IMA responsibilities and processes across data spokes.
Lead discussions with cross-functional teams on complex problems. Align best practices and tools based on business needs and driving the efficiency and effectiveness of the program.
Influence or assist with prioritization of work based on criticality and risk.
Influence others across business areas and levels to implement and enhance information solutions.
Responsible for the maintenance and validity of Information Asset Inventories.
Champion and support delivery of information in accordance with Information Governance standards and data management practices.
Lead the integration of Information Management practices into existing processes including ability to incorporate data management practices into new and emerging information technologies or complex situations.
Lead Data Lineage collection and stitching to ensure complete end to end data flow of critical data.
Lead the identification of and resolution of complex data quality concerns or issues.
Assist Steward in the design of data quality rules, thresholds, and standard metrics of quality for data elements that support critical business processes in complex situations.
Development of process enhancements to mitigate data quality risks including data quality plan development and overseeing the implementation of data quality controls.
Define and oversee high risk data quality corrective action plans.
Oversee compliance assessment process by reviewing and documenting failures from data quality compliance assessment checks.
Lead the implementation of Data initiatives within their data spoke that help mitigate data risk and perform root cause analysis to identify areas for improvement.
Influence others to implement and improve data quality practices.
Develop Master and Reference Data processes to align with Enterprise Policies and Standards.
Ensure quality and maintenance of master and reference data.
Oversee compliance assessment process by identifying and escalating items that may be a risk to the corporation.
Partner with IT and other Information Management resources to define and implement complex Access Management strategies in alignment with Information Governance policies.
Lead Privacy initiatives through classification and analysis of sensitive data.
Ensure compliance and remediation of sensitive data to ensure proper mitigation of inherent risk.
Identify and influence opportunities for process improvements across all IMA and/or Stewardship responsibilities and processes across data spokes.
Assist the Steward or if the Steward, design of data quality rules, thresholds, and standard metrics of quality for data elements that support critical business processes in complex situations.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.