Enterprise Data Architect

Job Description

The role of the Enterprise Data Architect is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Architect will achieve this by strategically designing, developing, and implementing data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modeling methodologies and data processing best practices.

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.
• Establish processes for governing corporate metadata identification, collection, and use; take steps to assure metadata accuracy and validity.
• Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
• Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Ensure that data strategies and architectures are in regulatory compliance.

Acquisition & Deployment

• Ensure the success of enterprise-level application rollouts (e.g., ERP, CRM, MDM, PIM)
• Liaise with vendors and service providers to select the products or services that best meet company goals.

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, to ensure data quality.
• Collaborate with project managers and business unit leaders for all projects involving enterprise data.
• Address data-related problems regarding systems integration, compatibility, and multiple-platform integration.
• Act as a leader and advocate of data management, including coaching, training, and career development for staff.
• Develop and implement key components as needed to create testing criteria to guarantee data architecture's fidelity and performance.
• Document the data architecture and environment to maintain a current and accurate view of the larger data picture.
• Identify and develop opportunities for data reuse, migration, or retirement.

Qualifications

Formal Education & Certification

College diploma or university degree in computer science, information systems, or computer engineering.

Knowledge & Experience

• 7+ years’ work experience as a data or information architect.
• Hands-on experience with data architecting, 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, etc.
• Ability to manage data and metadata migration.
• Experience with database platforms
• Understanding web services (SOAP, XML, UDDI, WSDL).
• Object-oriented programming experience (e.g., using Java, J2EE, EJB, .NET, WebSphere, etc.).
• Excellent client/user interaction skills to determine requirements.
• Working technical knowledge of current systems software, protocols, and standards
• Experience with data processing flowcharting techniques.
• Proven project management experience.
• Knowledge of applicable data privacy practices and laws.

Personal Attributes

• Strong written and oral communication skills.
• Strong presentation and interpersonal skills.
• Ability to present ideas in user-friendly language.

Additional Information

ITW Culture & Leadership Expectations:

• Exemplify and embody the ITW Leadership expectations  
• Able to thrive and collaborate in a decentralized and entrepreneurial culture
• Able to take a high level of accountability and ownership for personal and company performance
• Able to communicate both verbal and written with clarity and simplicity
• Exemplifies a strategic-thinking approach and process to product management
• Able to make decisions and use critical thinking and analytical approaches when weighing options

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