Data/Information Architect

PRIMARY RESPONSIBILITIES:

•Defines and designs the data architecture framework, and guidelines to enable efficient and effective data management

•Collaborates with business, functional areas, and IT teams to ensure the alignment of data architecture with system and application design

•Works with business, functional, and technical partners to maintain conceptual, logical, and physical enterprise data models to support data needs

•Collaborates with business, functional, and IT teams to map current and target enterprise data view including documentation of source and destination of each step, and associated processes

•Provides guidance and supports data architecture and data governance-related matters

•Partners with business leaders, IT teams, data owners, and data stewards to understand data requirements and attain data governance objectives

•Designs and develops the overall data architecture to seamlessly incorporate data governance tools, ensuring that they enhance data handling processes without causing disruptions

•Integrates data governance tools with existing data management systems, allowing for the centralized control of data consistency, quality, and security

•Guides data stewardship activities, including metadata management, data lineage, and data quality assurance, data classification, master data management, and sensitive data management

•Partners with business and IT leaders to develop a holistic data collection and curation methodology, incorporating all sources of business data for analysis and reporting

•Improves the bank’s business data landscape by owning the enterprise data model

•Documents data lineage across our business processes, identifying both value opportunities and potential data quality issues

•Assists and improves business data glossary and dictionary by working with the data governance office

•Partners with various Business, functional areas, and IT to provide options, recommendations, and assistance in brokering internal agreements regarding use and sharing of data (including associated access controls for sensitive data) across systems and groups.

•Defines technical standards and guidelines to promote reuse and interoperability of existing data stores, applications, and systems

•Helps design and develop standards, and procedures to ensure data quality, ingestion, curation, and provisioning of data to enable Data Governance and master data management (MDM)

•Analyzes, documents, and reports on any data-related problems or risks associated with the Bank’s systems and data, present the findings and any potential solutions in a concise and organized manner to management

•Works with business, functional and IT teams to implement process and data controls to ensure compliance with various regulations and industry standards

•Reviews designs, existing quality plans, and data quality results to ensure that business solutions are sufficiently robust, stable, scalable, and compliant to meet regulatory requirements

Experience Required:

• 5+ years of Experience of coordinating and implementing data architecture strategies with proven track record of implementing enterprise data standards and maturing capability to deliver advantage and enhance value delivery across a business
• 5+ years of advanced experience in building data models including robust data definitions, entity-relationship-attribute models, relational and/or dimensional models, as well as business system designs, data architecture, source to target mapping, and master data management
• 5+ years of advanced experience with Microsoft SQL stack and Python with the ability to write and understand complex programmable objects such as ETL/ELT and dynamic code frameworks
• 3+ years of experience designing and implementing complex, cross-departmental business measurement dashboards and performance scorecards
• 3+ years of experience with Tableau, Power BI, Enterprise Architect, Data Governance Suites, MDM systems, Data Catalog and Cloud environments