Required Education:
Bachelor's Degree
Preferred Education:
Master's Degree
Required Experience:
10+ years Information Technology leadership positions in large, complex, distributed organizations.
Preferred Experience:
15+ years Information Technology leadership positions in large, complex, distributed organizations.
Required Skills, Knowledge and Abilities:
● Experience with data modeling, data cleansing, data warehousing, ETL, data integration and distributed data architecture concepts, knowledge of agile and DevOps development methodology, understanding of solution design, development, and the data life cycle: data acquisition, data quality management, data governance, and metadata management. ● Broad knowledge of information technology across the domains of infrastructure, applications, information, and security, with depth in at least one domain ● Understanding of the practice of Enterprise Architecture, why it is important, and the role it plays in defining and supporting organizational strategy ● Understanding of the data needs of large, complex, distributed organizations, and the role Enterprise Architecture plays in making it available, keeping it secure, and maintaining privacy ● Ability to think broadly and strategically across multiple areas ● Ability to demonstrate the value of strategic thinking and actions in an environment that often does not operate or think in this way ● Ability to coalesce strategy into executable plans ● Ability to turn plans into action, and to lead and manage the action to achieve desired results ● Ability to lead a high performing team ● Ability to lead through influence, in a distributed environment, with conflicting needs across areas ● Ability to create meaningful relationships and build trust across areas, and at various levels of the organization ● Understanding of highly collaborative and consensus-based organizations, and knowledge of the skills needed to navigate this type of environment
Preferred Skills, Knowledge and Abilities:
● Familiarity with Enterprise Architecture Frameworks ● Familiarity with Data Privacy considerations and programs