Data Architect

Skills

Improve quality of data by identifying and setting forth strategies for removing duplicates and missing data from source/record systems. Improve consistency of data across many business function areas. Streamline data models and flow of data for efficiency and speed of delivery. Design maintain and enforce a company-wide standard for metadata naming standards. Produce data model documentation outlining standards guidelines and strategies across the company. Define the vision principles and processes that guide Company data models. Coordinate with IT directors and other technical managers to oversee the strategic development of technology roadmaps that align to delivering the business roadmaps. Define and promote the standards guidelines and principles that the rest of IT uses to make its design and technology decisions to minimize risk through high quality design and supported technology.

Description

This position will oversee the build, maintenance, and governance of an integrative company-wide data model and data standards. This role will strategically partner with data stewards across business areas and IT leadership to create a canonical data architecture. This enterprise model will be used for all data producing applications and processes. This position will strategically create roadmaps that will bring many sources of data together under one MDM/Data Catalog ecosystem to ensure single sources of truth, data quality, and maintain data standards/guidelines.

*Description for Internal Candidates

This position will oversee the build, maintenance, and governance of an integrative company-wide data model and data standards. This role will strategically partner with data stewards across business areas and IT leadership to create a canonical data architecture. This enterprise model will be used for all data producing applications and processes. This position will strategically create roadmaps that will bring many sources of data together under one MDM/Data Catalog ecosystem to ensure single sources of truth, data quality, and maintain data standards/guidelines.

Responsibilities

• Continual improvements in IT efficiency and effectiveness around:
• Data Architecture
• Enterprise Data Model
• MDM solutions
• Data Cataloging
• Infrastructure simplification
• Search for areas where cost reduction opportunities may be available, such as cases where technology solutions can be leveraged across business lines.
• Contribute ideas and insight to help optimize corporate information management resources to stay current with evolving business trends and new technologies.
• Educate business leadership, IT leadership, and professionals on new changes to infrastructure and policies, with an emphasis placed on recognizing the need for such updates.
• Share review findings and recommendations to executives and stakeholders, along with reports showing the progress in implementing new strategies.
• Improve alignment of project decisions to data road maps by performing governance over projects to check for compliance with defined architecture and standards.
• Promote new technology-based capabilities throughout organization based on technology R&D efforts.
• Create a data quality and data governance scorecard to report key metrics on activities, progress, and results to provide stakeholders with a concise view of the effectiveness and value added.
• Earn a reputation of credibility with application and infrastructure groups in order to provide IT leadership with and facilitate the successful adoption of data architecture standards throughout the organization.
• Direct and coordinate data model and architecture with business units.