Lead Information Architect-Bank

$138,230 - $264,200/Yr

USAA - Phoenix, AZ

Full-time - Senior

Phoenix, AZ

10,001+ employees

Credit Intermediation and Related Activities

About the position

The Lead Information Architect for Bank at USAA plays a crucial role in shaping data strategies within the Enterprise Architecture group. This position is responsible for guiding and implementing best practices in data design, management, and governance, directly influencing critical business outcomes. The role involves collaboration with various stakeholders to ensure the effective use of information architecture tools and practices, ultimately driving meaningful impact in the organization.

Responsibilities

• Guide peers using expert knowledge on application of all Data Governance policy and standard, while enforcing those specific to Information Architecture as it relates to data structures, data movement, risks, and controls.
• Lead efforts to define the information architecture practice mission, goals, strategy, critical success factors, principles, and policies and standards, and the overall Information Strategy and Architecture (IS&A) plans.
• Identify, define, document, and communicate information and data requirements to enable information capabilities within USAA's information architecture tools and metadata repository/catalog.
• Influence direction for metadata storage and entity relationships in metadata repository/catalog and data modeling tools.
• Educate stakeholders on the value and practice of IS&A; demonstrate the development and nurturing of healthy stakeholder relationships; create effective models to convey complex concepts.
• Oversee complex information and data development activities that align to the USAA Enterprise Information Model (UEIM).
• Drive integration of the Measurement Framework and utilization of industry reference models to help shape and influence business outcomes.
• Consult with other architectural disciplines to influence information disciplines, direction, technical and data flow, and solution agnostic design decisions.
• Lead the performance of regular assessments of the health and maturity of information capabilities for a given domain.
• Develop, approve, and govern artifacts including statements of direction, conceptual models, decision matrices, and others as identified.

Requirements

• Bachelor's degree in Information Architecture, Information Management, Information and Data Science, Information Studies, or a related technical field; OR 4 years of related experience in information management may be substituted in lieu of degree.
• 8 years of experience in information and/or data architecture to include strategy, planning, and delivery oversight OR if Advanced degree, 6 years of experience in information or data architecture.
• 3 years of direct and/or indirect management experience.
• Direct hands-on experience with modern data architecture environments (Cloud, Hadoop, NoSQL, etc.).
• Proven ability to embrace new technologies of the future and operationalize these to deliver value (Data Virtualization, Cloud).
• Extensive experience working with data analysis tools and leveraging reporting and data analysis that molds the way user experiences are designed.
• In-depth knowledge of architectural principles and extensive experience applying principles to business solutions.
• Exceptional communication skills and the ability to communicate appropriately at all levels of the organization.

Nice-to-haves

• Extensive experience in the Banking / Financial Services industry (e.g., Retail Banking).
• Proven track record with modernization programs to include integration of new and existing technologies, solutions, and migration strategies.
• Demonstrated expertise in data ingestion and consumption patterns, with the ability to design, optimize, and implement scalable solutions for efficient data flow systems.
• Strong understanding of best practices in data integration, transformation, and retrieval to support real-time and batch processing needs.
• Strong knowledge of data management and data governance best practices including master data, reference data & meta-data management and data taxonomies.
• Strong knowledge and experience with data modeling concepts.
• Understanding of advanced analytic (AI / ML) concepts and architectures.

Benefits

• Comprehensive medical, dental and vision plans
• 401(k)
• Pension
• Life insurance
• Parental benefits
• Adoption assistance
• Paid time off program with paid holidays plus 16 paid volunteer hours
• Various wellness programs
• Career path planning and continuing education assistance