Director of Data Governance

About the role

The Department of Innovation & Technology (DoIT) is seeking a qualified candidate to serve as the Director of Data Governance. This role leads the enterprise data governance program, establishes statewide standards, and ensures data security compliance and quality.

Responsibilities

• Evaluates program operations, service delivery effectiveness, fiscal impact, and performance outcomes.
• Works with cross-functional team members to identify and prioritize data processes and insights.
• Facilitates governance councils and partners with legal, security, and compliance teams.
• Advises executive leadership on enterprise data risk posture, governance maturity, and regulatory compliance.
• Manages data quality and observability capabilities.
• Ensures enterprise data is findable, accessible, interoperable, and reusable.
• Acts in a confidential and policy-making capacity.
• Provides enterprise leadership for operationalization of governance councils, working groups, and stewardship structures.
• Interprets statutory, regulatory, audit, and compliance requirements.
• Enables the FAIR framework through the development and implementation of enterprise data governance, quality, and metadata practices.
• Learns about new developments in the information technology field through continuing education.

Requirements

• Completion of four (4) years of college with coursework in management information systems, information technology, computer science, Data Science, Law, or related field.
• Four (4) years of progressively responsible professional experience in data governance, enterprise data management, compliance, privacy, or information policy.
• Three (3) years of professional experience supervising a team of Information Technology professionals in a large and highly complex public or private IT organization.
• Four (4) years of professional experience interpreting statutory, regulatory, audit, and compliance requirements and translating them into enforceable operational governance policies, frameworks, standards, and controls.
• Four (4) years of professional experience enabling the FAIR framework through the development and implementation of enterprise data governance, quality, and metadata practices.
• Four (4) years of professional experience in data quality management, including establishing measurable dimensional data quality standards, defining enterprise quality thresholds, and overseeing quality rule implementation.
• Three (3) years of professional experience implementing and managing data observability platforms, including monitoring, anomaly detection, lineage aware quality controls, operational diagnostics, and enterprise risk reduction practices.
• Three (3) years of professional experience implementing and operationalizing enterprise data cataloging and lineage solutions, including establishing metadata standards, integrating automated lineage capture, and supporting multi agency transparency and traceability.
• Three (3) years of professional experience leading cross functional data governance councils or working groups, including establishing charters, defining decision rights, resolving cross domain issues, and aligning multi agency stakeholders.
• Four (4) years of professional experience designing domain based accountability structures, data classification and retention standards, and managing enterprise level data risk incidents through remediation and corrective action plans.
• Advanced analytical skills using enterprise data to improve service delivery, operational performance, and policy decision making.
• Extensive knowledge of access governance, security alignment, and privacy related data control standards.

Qualifications

• Knowledge, skill, and mental development equivalent to completion of four (4) years of college with coursework in management information systems, information technology, computer science, Data Science, Law, or related field.
• Four (4) years of progressively responsible professional experience in data governance, enterprise data management, compliance, privacy, or information policy.
• Three (3) years of professional experience supervising a team of Information Technology professionals in a large and highly complex public or private IT organization.
• Four (4) years of professional experience interpreting statutory, regulatory, audit, and compliance requirements and translating them into enforceable operational governance policies, frameworks, standards, and controls.
• Four (4) years of professional experience enabling the FAIR framework through the development and implementation of enterprise data governance, quality, and metadata practices.
• Four (4) years of professional experience in data quality management, including establishing measurable dimensional data quality standards, defining enterprise quality thresholds, and overseeing quality rule implementation.
• Three (3) years of professional experience implementing and managing data observability platforms, including monitoring, anomaly detection, lineage aware quality controls, operational diagnostics, and enterprise risk reduction practices.
• Three (3) years of professional experience implementing and operationalizing enterprise data cataloging and lineage solutions, including establishing metadata standards, integrating automated lineage capture, and supporting multi agency transparency and traceability.
• Three (3) years of professional experience leading cross functional data governance councils or working groups, including establishing charters, defining decision rights, resolving cross domain issues, and aligning multi agency stakeholders.
• Four (4) years of professional experience designing domain based accountability structures, data classification and retention standards, and managing enterprise level data risk incidents through remediation and corrective action plans.
• Advanced analytical skills using enterprise data to improve service delivery, operational performance, and policy decision making.
• Extensive knowledge of access governance, security alignment, and privacy related data control standards.