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Domain Architect

4 months ago

Princeton, United States Princeton University Full time
Overview:

The Domain Architect is part of the University Data Office (UDO) and provides enterprise level expertise and enabling support for data across one of several key cross cutting domains (Student, Faculty & Research, People, Finance & Services). The position works closely with a broad range of Princeton University's leaders, administrative offices, and IT partners on initiatives to enable the responsible collection and management of rich institutional data and its translation into useful information to achieve strategic goals. The role requires a balance of nuanced subject matter knowledge of data across the specified domain, senior data analyst expertise, project management acumen, and the ability and passion to operationalize data management through the application of standards and conventions for data collection, quality, definition, lineage, translation, reporting, and use.

The University Data Office is a unit within the Office of the Provost with responsibility for developing and incorporating a campus-wide data strategy to enable strategic decision making by serving as the nexus between the strategic questions, the data resources, the technical solutions, and the consumers of information.

Under the direction of the University Data Officer, reporting to the Senior Director of Information Architecture, and working hand in glove with the UDO's Data Governance team, the Domain Architect will collaboratively plan, coordinate, and implement initiatives within and across data domains to document Princeton's data assets. Enabling a robust analytics culture is an essential pillar of the University's data strategy. For the University's strong and capable core of data analysts to focus on deriving insights instead of finding and securing, preparing and massaging data requires highly experienced Domain Architects with expertise and understanding of data across source applications, stewards and business processes, organizations, reporting life cycles, and compliance requirements of the specified domain. The position is an important implementer of Princeton's information model, working closely with data stewards and analysts to develop and maintain consistent data definitions and to collate the nuances in meaning, merging, and interpretation. The role will also work with the Data Governance team, stewards, and application managers to assure that appropriate and consistent data collection and quality standards are maintained across the array of domain related sources.

Responsibilities:

INFORMATION MODEL

Coordinate and drive enterprise level initiatives with stakeholders including data stewards, data scientists and analysts, and IT data teams to:

  • Build and maintain a comprehensive inventory of internal and external data sources for the domain.
  • Identify data assets for the domain including key or common data across sources.
  • Understand and break down complex cross-domain strategic analytic needs into required data components and fit gap to the existing data inventory.
  • Rationalize and document business rules, intense nuance and context and determine how to codify for incorporation into a centrally managed integrated data layer for analytics.
  • Work with Information Architects to incorporate into the institutional model.

Lead Data Readiness and Strategic Information Assessment projects, representing the UDO and working closely with units and IT in establishing information needs and reporting strategy prior to RFP/selection/implementation of systems and applications in the domain.

INFORMATION MANAGEMENT

  • Facilitate cross-functional working groups of stewards and subject matter experts to document, iterate, contextualize, rationalize/normalize, and formalize master and metadata for the domain including categorizing restricted and confidential data.
  • Work with UDO Information Architects and IT partners to translate the design for master and metadata into the data governance technology platform.
  • Work with data 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.
  • Synchronize data standards cross all nodes in the domain, from collection to acquisition (for analytics) through retention to promote consistency and quality.
  • Work across steward, application, and data teams to implement new data collections, maintain a view of quality, apply classification and retention guidelines, etc.

COMMUNICATION AND ENGAGEMENT

  • Serve as the 'go to' expert for data across the domain including many sources and systems, business processes, departments, and stakeholders.
  • Demonstrate and grow proficiency in how data in the domain is used and coded, current and desired standards, business rules and context for translating the data into analytics insight.
  • Bridge between disparate efforts that are typical to the delivery of analytics including data representation, data integrity and accuracy, data access and protection, regulatory compliance, and data dissemination.
  • Guide analysts, application and data teams, and information consumers through the data lifecycle for the domain.
  • Serve as Subject Matter Expert to support assessment and project proposals, data requests, and projects where data from the domain is indicated.
  • Cultivate relationships with traditional and emerging data providers and subject matter experts to identify and clarify new and existing data assets that may include external, device, survey, benchmark and types.
  • Expand awareness of the data and studies available for the domain, knowledge and appropriate use of domain data, communicate use cases, participate in information literacy programs to train analysts and information consumers on sources, data definitions, and limitations.
Qualifications:
  • 10+ years recent experience working in a lead or management role on initiatives such as data dictionary/definition, data collection/quality, reporting/dashboard development, and/or analytic studies.
  • 8+ years recent experience as a subject matter expert for data in a senior data analysis or data management role.
  • 3+ years experience as a business analyst or project manager with strong acumen for synthesizing and resolving multiple inputs into a data management structure such a data model, metadata model, or security/access model.
  • Familiarity with enterprise data models that support cross domain integration and analysis.
  • Superior analytic and problem solving skills to navigate, document, and address a variety of data nuances, business transformations and complex data logic.
  • Exceptional interpersonal skills, communication skills (oral and written), and a demonstrated ability to work effectively with and across the diverse experiences and perspectives of data stewards and business process experts, IT teams, data scientists and analysts, and information consumers.
  • Excellent planning and organization skills to estimate, track, and complete a portfolio of initiatives.
  • Demonstrated ability to navigate between leaders, initiatives, and support.
  • Acumen for discussing complex and new topics in an approachable and easy-to-understand way.

Preferred:

  • Strong experience and cross-functional knowledge of data domains of an R1 higher education institution.
  • Experience as a data analyst working with complex integrated datasets.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS

Standard Weekly Hours:
36.25

Eligible for Overtime:
No

Benefits Eligible:
Yes

Probationary Period:
180 days

Essential Services Personnel (see policy for detail):
No

Physical Capacity Exam Required:
No

Valid Drivers License Required:
No

Experience Level:
Director

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