Data Governance Director - Lead Trusted Data & Compliance

OU Foundation; Norman (OK); On-site; USD 120,000 - 180,000; Full time

Job summary

OU Foundation in Norman, OK; a Full-Time role leading the Data Governance function within the IT/Data & Analytics team. The Director will shape enterprise data policies, standards and accountability to ensure data accuracy, security and trusted use across donor, constituent and financial data.

The role requires a Bachelor’s in a related field and 7+ years in data governance or analytics, with experience building data catalogs, glossaries and data-quality frameworks.

Qualifications

• Bachelor's degree from a relevant field.
• 7+ years of progressive experience in data governance, data management, analytics, or related discipline.
• Experience developing and implementing data governance frameworks, policies and processes.

Responsibilities

• Lead the development, implementation and continuous improvement of enterprise data governance practices.
• Establish policies, standards, processes and accountability structures to ensure data is accurate, secure and trusted.
• Translate organizational objectives into a practical data governance framework and collaborate with stakeholders across the Foundation and university systems.

Skills

Data governance

Data management

Analytics

Education

Bachelor's degree in information management, computer science, business, data analytics, information systems or related field

Tools

Master data management

Data integration

Data warehouses

Business intelligence

Enterprise reporting

CRM platforms

Job description

OU Foundation in Norman, OK; a Full-Time role leading the Data Governance function within the IT/Data & Analytics team. The Director will shape enterprise data policies, standards and accountability to ensure data accuracy, security and trusted use across donor, constituent and financial data.

The role requires a Bachelor’s in a related field and 7+ years in data governance or analytics, with experience building data catalogs, glossaries and data-quality frameworks.