Director, Information Architecture
Overview
Responsibilities
INFORMATION MODEL
- Collaborate with key campus stakeholders to
- Engage with campus leaders and to understand the questions requiring strategic analysis.
- Design, validate, update, and maintain the institution's conceptual and logical information models to represent, formalize, and unite the required strategic information.
- Communicate the objectives and design of the information model to a variety of audiences in functional terms.
- Manage and maintain reference architecture (Conceptual and Logical models), including guidelines for designing and developing target state analytic and data management capabilities.
- Work with IT data engineers responsible for translating and incorporating the information model into the University's integrated data layer for reporting, analytics, and exploration.
- Guide Domain Architects in working with stewards, data scientists, and analysts to rationalize and document business rules and context for codification into the curated levels of the integrated analytics layer.
- Create proofs of concepts as necessary for architectural vision and evaluation.
- Anticipate core data needs to collect and organize the data in a disciplined, consistent manner across time, peer groups, and subject matter so that the data will be available and valid to support future as-yet undetermined questions and studies.
INFORMATION MANAGEMENT
- Co-lead development of an institutional approach to master and metadata including the process for documenting definitions and context with campus partners, and a standards-based design for the information governance catalog/tool including how to categorize and tag data assets, a structured and streamlined process for entering and maintaining master data and metadata and other data management functions.
- Co-lead working groups of data stewards and subject matter experts to document, iterate, contextualize, rationalize/normalize, and formalize master and metadata including categorizing restricted and confidential data.
- Work with Domain Architects and IT Metadata and Access specialists to translate the design into data governance technology platform.
- Guide Domain Architects in working with stewards, application managers, and analysts to profile key data, define collection and quality requirements for the data to serve strategic analytic purposes, including 'gap' data.
LEADERSHIP
- Leverage expertise in information modeling, data management best practices, business process knowledge, technology enablement, and strategic analytics to effectively engage with leaders, data stewards, data scientists and analysts, IT teams, and information consumers.
- Establish and promulgate a standards-based design for the information model, master and metadata, and other data management functions.
- Work with campus partners and the data office team to develop a phased approach to incorporating sustainable data governance through delivery of strategic analytic use cases.
- Provide advisory services and expertise to unit, OIT, and project teams to ensure that data collection, maintenance, and solutions align with the information architecture and support institutional strategy.
- Manage stakeholder and consulting relationships.
- Provide direction and mentor the team.
- Actively engage in relevant peer and user communities.
- When provided access to restricted or confidential data, maintain such data in the strictest confidence and follow procedures to ensure privacy, security, and proper use.
Qualifications
• 5+ years of progressive functionally facing experience envisioning and leading the design of an information model to serve the business and strategic analytic needs of a large enterprise, including engaging with leaders and communicating and documenting complex data and analysis concepts in accessible language.
• 5+ years management experience including a demonstrated ability to effectively lead and mentor diverse teams.
• 7+ years experience as an information architect developing and managing information architecture models that represent the complex, cross-functional strategic analysis needs of an organization.
• 5+ years experience in information management developing and leading metadata management initiatives.
• Demonstrated ability to work effectively with and across institutional leaders, data stewards, data scientists and analysts, IT teams, and information consumers.
• Strong knowledge of contemporary approaches for information modeling, MDM, metadata management and their translation to modern technology ecosystems such as data lake, big data systems, data fabric, data mesh, and data warehouses.
• Exceptional interpersonal skills, communication (oral and written) skills, and the ability to engage effectively with the diverse experiences and perspectives of data stewards, IT teams, and information consumers.
• Excellent planning and organization skills to estimate, track, and complete projects and deliverables.
• Demonstrated experience to engage, operate and communicate with project teams at the execution level, as well as with senior leadership at the strategic level.
• Acumen for discussing complex and new topics in an easy-to-understand way.
PREFERRED
• Experience and cross-functional knowledge of functional domains of an R1 higher education institution.
• Experience building cross-functional enterprise reporting systems and overseeing ongoing maintenance of data.
• Experience as a data analyst working with complex integrated datasets.
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