Industry: Professional, Scientific & Technical Services•
5 - 7 years
Posted 45 days ago
The VP of Data Architecture strengthens the impact and provides recommendations on business information that will need to be available, analyzed and shared consistently across the company through the identification, definition and analysis of how information assets drive business outcomes and can be monetized to improve business performance. They are responsible for discovering the data and analytics strategy / requirements for data for all uses.
The focus of this role:
• Determining information priority
• Enhancing decision making
• Defining the enterprise information strategy
• Combining data to increase synergy and other business value
• Governing data more effectively
• Creating more value from data
• Data modeling
• Protecting the organization
• Managing existing data
• Securing data
• Improving performance
• This role reports to the Senior Vice President / Chief Architect at West Corporation.
• This role leads and manages a small team (2-3 FTE) of information architects, while leveraging subject matter experts from many other business and GTS areas.
• This role will collaborate with several roles aligned to data and analytics. A few examples include information managers, data stewards, data scientists and business analysts among others.
Experience, Education and Training
• This role requires a bachelor's degree in computer science, information systems or a related study (or equivalent project-related experience).
• A minimum of five to ten years of experience in IT, with at least two years in information system design.
• In-depth experience of designing and implementing information solutions.
• Hands-on experience implementing data and analytics management programs.
• Three to five years' experience as a data architect is highly desirable.
Required Knowledge and Skills
• Presentation and facilitation skills; ability to communicate effectively at all levels within the enterprise
• Design-thinking skills.
• Business domain, data/content and process understanding (which are as important as technical skills).
• Understanding of the differences between relational modeling and object modeling.
• Strong communication and persuasion skills, including the ability to create marketing and messaging materials that meet stakeholder preferences.
• Ability to analyze project, program and portfolio needs, as well as to determine the resources needed to achieve objectives and overcome cross-functional barriers.
• Demonstrate the ability to work well with others and be respected as a leader.
• Have a track record of remaining unbiased toward specific technologies or vendors.
• Be an excellent communicator and collaborator across multiple technical and business stakeholders and leaders.
• Influence without direct authority
• Be able to translate the information architecture contribution to business outcomes into simple briefings for use by the CDO and other data and analytics roles