Enterprise Data Architecture​/Design

Reporting to the Chief Data/Information Architect (Managing Architect), this challenging position involves thought leadership, management skills and technical expertise.

• Lead and collaborate in strategic initiatives like Enterprise Data Modeling, Master Data Management (MDM), Reference Data Management (RDM), Metadata Management, Big Data, Data Quality and Governance, Data Warehousing, BI & Analytics.

• Develop a flexible and scalable architecture for an integrated information environment that will enable cost effective solutions to meet business requirements.

• Establish guiding principles, standards and best practices for business driven data architecture and related technologies from an enterprise perspective.

• Provide Reference Architecture Framework for Data Management, BI and Analytics domains/functions.

• Provide a roadmap with timelines for existing environments to migrate to the future state architected environment.

• Provide architectural guidance to Regulatory Data Programs like Dodd-Frank CCAR, Basel, RISE, and other Risk and, new and in-flight LOB specific projects

This will require pro-active coordination with other teams within the enterprise. A key success factor will be the ability to build and sustain consensus across the teams involved and ensure a high degree of compliance.

• Provide data strategy and governance leadership for data architecture and develop technology solutions that align to the objectives and standards of the enterprise Data Management Strategy.

• Articulate, oversee and provide direction to project data architects who are responsible for producing project data deliverables.

• Perform high level tracking of project progress, with respect to data architecture deliverables, to ensure timely delivery and efficient staffing and use of data architecture resources.

• Provide thought leadership through contribution to the creation and continuous refinement of capabilities and best practices within the data management organization.

• Develop and build strong relationships within and across lines of business and use communication skills to influence and accomplish strategic data architecture objectives.

• Research/analyze business requirements to evaluate and recommend optimal solutions within technology architecture Provide guidance on Data Integration, Data Warehousing, Data Mart’s, database analysis, design, and build effort

• Provide guidance on Data Integration, Data Warehousing, Data Mart’s, database analysis, design, and build effort

• Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth

• Provide guidance on Big Data/Hadoop architecture, BI reporting & Analytics

• Provide Guidance on Data Model Management, MDM, RDM, Metadata Management, Data Life Cycle Management, Data Security, and DQ.

• Contribute and/or conduct ongoing assessments of Banking Regulatory data architecture strategy, influencing Business and IT decisions as necessary to ensure consistency in approach over time.

• Support the development, documentation, communication and execution of a comprehensive regulatory data architecture strategy, policies and solutions.

• Contribute to and/or develop the process by which decisions will be made regarding technology standards

• 10+ years of experience in an Enterprise Data Architecture/Design role, preferably in the Financial Services sector

• Experience in Retail & Commercial Banking and Regulatory reporting like Basel, Dodd-Frank etc.

• Experience in people management (i.e. coaching, team leadership, performance reviews)

• Expertise in Enterprise Data Modeling (Conceptual & Logical & Physical Data Models)

• Experience in Data Warehouse/Data Marts Modeling (Relational/Dimensional Data Models)

• Expertise in Data Integration, ODS, Data Warehousing and BI reporting & Analytics Architecture & Implementation.

• Expertise in Master and Reference Data Management Architecture, Modeling and Implementation

• Experience in Metadata Management Architecture and Implementation.

• Experience in Data Quality & Data Governance

• Experience in Big Data Architecture

• Experience or knowledge of…