Chief Data Officer

-Data Management and Administration
Administer maintain and optimize enterprise databases and data repositories to ensure accuracy consistency and high availability.
Monitor data integrity identify discrepancies and implement correction processes to maintain clean and reliable datasets.
Manage access controls and permissions to ensure proper security and confidentiality of sensitive information.
Develop and maintain data dictionaries metadata and documentation to support data transparency and usability across agencies.
-Power BI and Business Intelligence Support
Oversee the creation publication and maintenance of Power BI datasets dataflows and reports used for statewide analytics and decision-making.
Ensure that data sources feeding Power BI are accurate refreshed on schedule and compliant with data governance standards.
Collaborate with analysts and program staff to improve dashboards optimize performance and promote consistent reporting practices.
-Data Governance and Compliance
Support enterprise data governance frameworks ensuring adherence to statewide data standards retention policies and security requirements.
Monitor compliance with privacy and data-sharing regulations such as HIPAA FERPA or CJIS where applicable.
Document data lineage and maintain audit trails to ensure accountability and transparency.
-Data Integration and System Coordination
Collaborate with application and infrastructure teams to design and implement data integration processes between systems and agencies.
Maintain and optimize ETL (Extract Transform Load) processes that move and synchronize data between environments.
Support modernization and cloud migration efforts by preparing and transforming legacy data into modern platforms.
-AI Automation and Advanced Analytics Readiness
Prepare and structure data to support Artificial Intelligence (AI) machine learning and automation projects.
Collaborate with the IT Systems Architect and development teams to ensure data readiness for predictive analytics initiatives.
Identify opportunities for data-driven automation to improve operational efficiency.
-Reporting Documentation and User Support
Provide technical assistance to staff using Power BI or other reporting tools resolving issues related to data access and reporting performance.
Develop and maintain standard operating procedures and documentation for data management processes.
Train end-users on data best practices and reporting standards.
-Collaboration and Continuous Improvement
Work closely with cross-functional teamsincluding IT business analysts and program managersto ensure coordinated data management across systems.
Identify process improvements that enhance data quality security and usability.
Participate in statewide data governance and architecture meetings to align agency practices with enterprise standards.

-Other duties as assigned and within the scope of the classification.

Requirements / Qualifications

Minimum Qualifications:Bachelors degree in computer science Information Systems related field and a minimum of 5 years of experience in computer science information systems mathematics engineering coding computer applications programming IT architecture software development or infrastructure design. Any equivalent combination of education and experience will be considered.

Preferred Qualifications: Bachelors degree in Information Technology Computer Science Data Management or a related addition to the experience above three or more years of experience in database administration data analysis or enterprise data management. Hands-on experience with Microsoft Power BI including dataset management data modeling and report publishing. Experience with SQL ETL tools and data integration between multiple systems or platforms. Familiarity with cloud-based data environments such as Microsoft Azure Synapse or similar architectures. Knowledge of data governance frameworks metadata management and information security practices.

Other: This position requires travel. As such the incumbent must be able to present a valid drivers license or another form of reliable transportation. Regular and reliable attendance required.

Knowledge of:
Principles and best practices of database management data modeling and data governance.
Microsoft Power BI administration including dataset management dataflows and report publishing.
Extract Transform Load (ETL) processes data warehousing and system integration methods.
Data privacy security and compliance standards applicable to state and federal requirements (e.g. HIPAA FERPA CJIS).
Cloud data environments and tools such as Azure SQL Synapse or similar modern platforms.
Artificial Intelligence and automation concepts particularly as they relate to data preparation and analytics readiness.
Metadata management data dictionaries and documentation standards.
Techniques for troubleshooting data issues and optimizing query and system performance.
Standard software development lifecycle (SDLC) processes and change management practices.
Skills in:
Administering and maintaining enterprise data systems and business intelligence platforms.
Using SQL and other query tools for data analysis validation and transformation.
Designing and maintaining Power BI datasets data models and reports.
Developing and automating ETL workflows and data pipelines.
Identifying and resolving data quality performance or integrity issues.
Effectively communicating complex data concepts to non-technical stakeholders.
Collaborating with technical and program teams to meet data and reporting needs.
Abilities to:
Analyze data and system structures to identify trends discrepancies and opportunities for improvement.
Apply data governance principles to ensure consistent accurate and compliant data practices.
Work independently to manage multiple data systems and competing priorities.
Develop documentation procedures and standards that promote consistent data management practices.
Support statewide initiatives involving Power BI data integration and AI readiness.
Adapt to emerging technologies and contribute to continuous improvement of enterprise data environments.
Communicate effectively both orally and in writing with technical and non-technical audiences.
Collaborate across divisions and agencies to promote data sharing transparency and informed decision-making