Responsible for defining and deploying the architectural framework(s) to ensure establishment of effective data and metadata management within Enterprise systems.
Designing and directing the ongoing evolution of a flexible and common architectural framework to meet Enterprise data management needs for a wide range of application architectures and storage technologies.
Defines and manages The Enterprise Data Management (EDM) architectural framework’s evolution focused on supporting business goals for data availability, usability, and security.
Promotes the benefits of a federated enterprise data model (FEDM) across the Enterprise.
Selects and implements of tools to manage Hancock Whitney metadata.
Defines Data Warehouses and Data Marts uses to support business and technical objectives.
Defines standards for data auditability in support of Sarbanes Oxley and other regulatory compliance requirements.
Defines appropriate use of data management tools, principles, and methods for all scenarios related to Enterprise systems development and operation.
Ensures adherence to Standards, data management tools, and methods by project teams for custom developed and packaged solutions application systems.
Ensures that data management requirements are considered during all phases of the Application Delivery and Support Lifecycle.
Ensures compliance with SLCs and Information Security Policy and Procedures.
Manages and monitors of The Enterprise Data Management Architecture Frameworks use by project teams for new systems and system support teams for system enhancements to ensure compliance with standards for: data availability, data retention, archiving, scalability, Security Auditability, use of data management tools and methods, metadata management, data integration and synchronization, use of the Integration/Middleware architectural framework, use of the Application and packaged solutions architectural frameworks, and use of storage devices.
Defines data warehousing strategy incorporating a unified metadata model across the warehouse(s) and data marts.
Defines and enforces the standards for developing and maintaining key EDM artifacts.
Coordinates the Infrastructure Architects on definition of infrastructure architecture standards for processors, storage devices, and networks to support the EDM architectural framework.
Defines Extract, Transform & Load (ETL), and data replication strategies in conjunction with the Enterprise Integration/Middleware and Application Architects.
Defines integration of packaged solutions data model into Enterprise Data Architecture.
Identifies areas where changes in data management practices can add value to the Enterprise and improve IT efficiency.
Ensures that vendor proposed and constructed solutions conform to the EDM architectural framework.
Assists new system project teams and system support teams in the use of Data Management concepts, methods, and tools as needed.
Mentors and trains solution and project architects to ensure a complete understanding of EDM concepts, methods, and standards.
Performs other duties and special projects as assigned by Senior Management.
Requirements
College degree – bachelor’s in information systems, computer science, or related field and/ or equivalent amount of training and experience
Advanced degree (e.g., MBA) or equivalent preferred
Executive leadership and staff management skills necessary to manage the Data Architecture functions
Demonstrated leadership and experience in a multi-source environment; insourced, outsourced, etc.
Strong technical background and experience with major vendor platforms/ technologies (SQL Server, DB2, COBAL Mainframe applications, etc.)
At least 10 years of experience in computer industry
At least 7 years of experience in Data Architecture
Solid understanding of and experience with mainframe, midrange and microcomputing environments
Demonstrated experience in working in a large complex technology infrastructure and planned business critical technological infrastructure
Solid understanding of multiple system/ application integration principles and methodology
Demonstrated understanding of and experience with operational/ technology architecture development, preferably within a financial services organization
Proven interpersonal skills demonstrating effective interaction and communication with Executive and Senior Leadership stakeholders
A high level of creativity and innovation in problem solving
Highly refined organizational and planning skills
Strong process design, development, and management skills
Ability to achieve results through effective consensus building
Superior computer skills including MS Office, advanced spreadsheet skills and database skills