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Job Purpose
The role of the Data Warehouse Manager is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. Acting as an Enterprise Data Architect, The Data Warehouse Manager 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.
Job Responsibilities
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 the identification, collection, and use of corporate metadata; 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. EBS, Oracle RMS,etc.)
• Liaise with vendors and service providers to select the products or services that best meet company goals.
Operational Management
• Act as a leader and advocate of data management, including coaching, training, and career development to staff.
• Manage a team of DW developers and act as Subject Matter Expert on data management and data architecture
• 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.
• Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
• Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
• Identify and develop opportunities for data reuse, migration, or retirement.
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