Domain Architect - Higher Education
Company: Princeton University
Location: Princeton
Posted on: May 4, 2024
Job Description:
OverviewThe 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.ResponsibilitiesINFORMATION 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 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.
PIe3dc2725ff53-31181-33940763
Keywords: Princeton University, Trenton , Domain Architect - Higher Education, Other , Princeton, New Jersey
Didn't find what you're looking for? Search again!
Loading more jobs...