Director of Enterprise Data Architecture and Data Governance

Red Hat, Inc. - Raleigh, NC4.0

CommissionEstimated: $120,000 - $160,000 a year
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, storage, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.

Job summary
The Red Hat Enterprise Data and Analytics team is looking for a Director of Enterprise Data Architecture and Data Governance to join us in Raleigh, NC, reporting to the Vice President of Enterprise Data and Analytics. In this role, you’ll be responsible for the strategic direction and operational delivery of data and governance at Red Hat. This will include data for operational use and downstream analytics. You will ultimately guide our strategic data roadmap and work on improving data processes and quality by working closely with business stakeholders to identify areas where persistent problems exist within our data infrastructure. As a Director of Enterprise Data Architecture and Data Governance, you will be responsible for all data assets under business functions (e.g., sales, people, marketing, product, etc.) and ensure alignment with enterprise strategy and related business architecture. You’ll also be responsible for setting vision and direction and for ensuring alignment between data architecture, business strategy, and data governance.

Primary job responsibilities
Serve as an evangelist for the value of well-governed and well-architected data across the enterprise, explaining how this discipline delivers tangible business value
Work closely with business stakeholders so that the data architecture is aligned with and capable of supporting business needs
Serve as the primary chair and leader for the Data Leadership team, which consists of senior leaders from each functional area in the company
Collaborate with all areas of IT, including application, integration, data management, and data warehouse teams
Lead vision, direction, and guiding principles for data architecture and governance
Guide improvement in tools and capabilities to support the data strategy and vision
Lead a team that is responsible for organizing data at a macro level, establishing subject areas, and at what level they are managed in relation to master and reference data, in addition to mastering subsets of data that are required (e.g., product, customer, people, etc.)
Lead a team responsible for data quality and governance at the enterprise and regional levels, supporting multiple data domains (e.g., product, customer, transaction, pricing, people, channel, etc.)
Required skills
10 years experience as a data architect working with both large operational and data warehousing environments
10 years experience with conceptual and logical data modeling (relational and dimensional) and working knowledge of ontological and taxonomic concepts
5 years of experience leading or building data governance programs
Ability to conceive and portray the big data picture and be able to develop an end-to-end vision for the enterprise
Ability to express complex technical information in understandable user-friendly language and style; collaborate in one-on-one and group settings
Good communication and interpersonal skills for interacting and collaborating with other leaders and associates throughout the organization, including executive management
Knowledge of industry best practices, master data management (MDM), data governance, established data management principles and techniques, and emerging data and reporting technologies
Working knowledge of customer relationship management (CRM) and enterprise resource planning (ERP) system implementation and approaches
Ability to lead, advise, manage, and oversee the work of others
Ability to assess situations or people and emphasize methodology, governance, modeling, and technology
Ability to adapt and perform in a highly collaborative, fast paced, rapidly changing environment
Understanding of the importance of maintaining the physical and technical security and privacy of data
Basic understanding of the system development life cycle, agile project management, and requirements gathering, design, test, and validation techniques
Ability to initiate, evaluate, and shape projects from the perspective of the entire organization

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