Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Peregrine Advisors LLC seeks a Data Governance Specialist to translate policy goals into practical operating models that data teams can follow. You will convene data owners and stewards, define issue-management paths, and measure adoption and data quality across the organization.
You will design data-governance charters, standards, and decision-rights models, build stewardship structures and governance forums, and establish accountability across technical and business stakeholders.
Data Governance Specialists establish the decision rights, policies, standards, roles, and measures that help an organization manage data as a strategic asset. They turn broad expectations for quality, stewardship, access, lifecycle management, and accountability into operating practices that people can follow.
Data Governance Specialists establish the decision rights, policies, standards, roles, and measures that help an organization manage data as a strategic asset. They turn broad expectations for quality, stewardship, access, lifecycle management, and accountability into operating practices that people can follow.
The work is organizational as well as analytical. Specialists convene data owners and stewards, define issue-management and escalation paths, measure adoption and data quality, and maintain the governance operating model as mission needs change. They do not own every catalog record or recurring data operation; they set the framework through which those activities are accountable and measurable.
You can turn a policy goal into a practical operating model. You bring stakeholders together, make ownership visible, and use evidence to improve adoption instead of treating governance as a document-writing exercise.
You are comfortable at the intersection of data, technology, risk, and mission. You explain why a standard matters, where it applies, and how teams can meet it without losing sight of the work the organization must perform.
Some openings may focus on enterprise governance design, while others may emphasize data quality, records, open data, master data, or specific governance platforms. Federal roles may seek familiarity with the Federal Data Strategy and agency responsibilities for inventories, metadata, standards, and data leadership.
Organizations using AI may need governance practitioners who can define clear accountability, inventories, review processes, and monitoring for system and data risks. The National Institute of Standards and Technology’s (NIST) Artificial Intelligence Risk Management Framework (AI RMF) organizes this work around Govern, Map, Measure, and Manage functions, but it does not replace the organization’s own decision rights.
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.