Enterprise Information Architect

Richfield, Ohio
Not Specified
Sep 29, 2016
Nov 28, 2016
Job Type
Not Specified
Career Level
Not Specified

Strategy & Planning

  • Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders.

  • Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap which could include Big Data Platforms.

  • Influences senior leaders and all levels of business and IT staff on all areas of technology, including policies, standards, strategies, and governance.

  • Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.

  • Coordinate and work with other technical staff to develop database architectures, coding standards, and quality assurance policies and procedures.

Acquisition & Deployment

  • Conduct research and make recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts.

  • Evaluate, recommend, and select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, and meta data management tools.

Operational Management

  • Assess and determine governance, stewardship, and frameworks for managing data across the organization.

  • Develop and promote data management methodologies and standards.

  • Select and implement the appropriate tools, software, applications, and systems to support data technology goals.

  • Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.

  • Collaborate with project managers and business unit leaders for all projects involving enterprise data.

  • Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration.

  • Act as a leader and advocate of data management, including coaching, training, and career development to staff.

  • Identify and develop opportunities for data reuse, migration, or retirement.

Knowledge & Experience

  • 15 years + experience in consulting or IT experience supporting Enterprise Data Warehouses & Business Intelligence environments, including experience with data warehouse architecture & design, ETL design/development, and Analytics.

  • Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.

  • Direct experience in implementing enterprise data management processes, procedures, and decision support.

  • Strong understanding of relational data structures, theories, principles, and practices.

  • Strong familiarity with metadata management and associated processes.

  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.

  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies.

  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.

  • Ability to manage data and metadata migration.

  • Understanding of Web services (SOAP, XML, UDDI, WSDL).

  • Experience with data processing flowcharting techniques.

  • Proven project management experience.