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Data Governance Manager

University of Idaho • Moscow, ID • 6d ago

This job was posted by https://idahoworks.gov : For more information, please see: https://idahoworks.gov/jobs/2599842

Posting Number: SP005414P

Division/College: General Library

Department: General Library

Location: Moscow

Posting Context Statement:

The University of Idaho is building the data foundation that will power research, student success and operational excellence for years to come. The Data Governance Manager ensures the foundation is trustworthy by establishing policies and practices that make data a reliable institutional asset. This role reports to the Chief Data and AI Officer with a direct line to executive leadership, institutional visibility and the opportunity to shape how a public R1 research university governs and uses data at a pivotal moment in its modernization. Candidates energized by building programs from the ground up, working across organizational boundaries and making complex systems work are encouraged to apply.

Position Overview:

The Data Governance Manager leads the development, implementation and ongoing maturation of enterprise data governance at the University of Idaho. Reporting to the Chief Data and AI Officer, this position is responsible for establishing the frameworks, policies, standards and institutional processes that ensure university data is accurate, accessible, secure and used responsibly across academic, administrative and research functions.

This role operates at the intersection of policy, people and technology. Translating governance principles into operational practice across a complex, decentralized institution, the Data Governance Manager works closely with data stewards, IT teams, compliance and legal counsel, institutional research and senior leadership to build a governance atmosphere that supports data-informed decision-making and regulatory compliance. The position entails equal parts strategic thinking, stakeholder facilitation and operational follow-through.

Duties may include:

Developing and maintaining the university\'s enterprise data

governance framework, policies and standards

Facilitating the Data Governance Committee and associated working

groups

Defining and operationalizing data ownership, stewardship and

accountability structures across institutional data domains

Managing the enterprise data catalog and driving metadata standards

and data quality practices

Partnering with IT, compliance, legal and academic units to ensure

governance alignment with regulatory requirements

Leading data literacy and governance education efforts across the

institution

Supporting the CDAO in developing and communicating institutional

data strategy

Other duties as assigned

Required Experience:

3 years of experience in data governance, data management,

information management or a closely related field

Demonstrated experience facilitating cross-functional teams and

building consensus across stakeholders with competing priorities

Experience developing or implementing policies, frameworks or

standards in a complex organizational environment

Required Education:

Bachelor\'s degree in Information Management, Business, Public

Administration, Computer Science or a related field, or 4 additional years of experience (for a total of 7 years)

Required Other:

None

Additional Preferred:

5 or more years of experience in data governance, enterprise data

management, or institutional data strategy

Certification in data governance or data management (e.g., CDMP,

DAMA, or similar)

Graduate degree in a relevant field

Experience with:

Higher education institutions, including familiarity withshared

governance structures and constituent-sensitive data environments

Regulatory frameworks applicable to higher education data

(FERPA, HIPAA, GLBA or federal grant compliance)

Enterprise data catalog platforms and metadata management

tooling

Cloud-based data platforms and lakehouse architecture concepts

(Databricks and Unity Catalog preferred)

ERP data structures in student, HR or finance domains

(Banner/Ellucian preferred)

Data quality frameworks and data quality tooling

Building and facilitating governance committees, working groups

or advisory bodies

Developing data stewardship programs, including steward

recruitment, training and ongoing engagement

Translating governance requirements for both technical teams and

non-technical institutional audiences

AI governance frameworks and the intersection of data governance

with machine learning and analytics use cases

Physical Requirements & Working Condi

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