Enterprise Architect - Data Governance Operations Support

Ricefw Technologies Inc
Bismark (Altmark), Germany
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Data Governance Metadata SQL Databases Information Technology Data Management

Job description

The Data Governance Operations Support role will provide tactical coordination and operational support to ensure DG pilots, intake processes, standards rollouts and DG related project work move efficiently across business, IT, and program stakeholders. This role will also work with North Dakota Information Technology (NDIT) to ensure alignment with statewide data governance efforts, policies, standards, etc., Coordinate pilot implementation across programs Support governance intake workflows and follow-up actions Track checklist compliance, onboarding progress and standards adoption. Support modernization projects with embedded Data Governance guidance Maintain documentation, reporting, meeting notes, and action items tracking. Coordinate with data stewards, business teams, IT and project stakeholders.

Requirements

Years of Experience: 5+ years in program coordination or governance operations, data management, business operations or related enterprise support. Experience working across IT and business stakeholders. Strong documentation and process management skills, Experience with program coordination, governance operations, data management, or business operations. Strong documentation, tracking, and follow-up skills. Ability to coordinate across business and IT stakeholders. Ability to communicate effectively with technical and non-technical audiences. Preferred skills that stand out on resume Experience with Health and Human Services, public sector, or large enterprise environments. Experience supporting modernization, reporting, data governance, or standards related initiatives. Familiarity with dashboards, data inventories, business glossaries, metadata, data quality tracking, SQL or data queries.

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