Sr Consultant, Data Governance

Summary:

• Under minimal supervision, independently leads and advances data quality initiatives across the organization by implementing, enhancing, and governing enterprise data quality frameworks, methodologies, and controls.

• Drives the establishment, adoption, and continuous improvement of data governance policies, standards, processes, and best practices to strengthen data quality and support business objectives across multiple domains.

• Serves as a trusted advisor to business and technology stakeholders, providing thought leadership and influencing enterprise data management and governance strategies.

Role Responsibilities:

• Ability to independently engage with data owners, data consumers, custodians, and senior stakeholders across multiple domains to provide expert consultation on data quality strategy, governance practices, and implementation approaches.

• Ability to partner with business stakeholders to identify, analyze, and prioritize complex business challenges, translating them into scalable data quality controls, monitoring capabilities, and measurable outcomes.

• Ability to design, develop, and optimize data quality controls using SQL, Python, or similar technologies, while establishing automated monitoring, scheduling, and reporting solutions leveraging tools such as Control-M and other enterprise platforms.

• Ability to develop executive-level dashboards and data visualizations using platforms such as Power BI, effectively communicating data quality trends, risks, root causes, and business impacts. Acts as a recognized subject matter expert and drives knowledge sharing across business units.

• Ability to lead root cause analysis of complex data quality issues, coordinate cross-functional remediation efforts, and partner with technology teams to implement sustainable solutions at the source.

• Assess, design, and implement strategies that reduce data redundancy and improve the consistency, reliability, and fitness of data used for business decision-making. Proactively recommend enhancements to business processes, controls, and monitoring frameworks.

• Lead the development and enhancement of data management standards, processes, controls, and metadata assets, including business glossaries, data dictionaries, and governance repositories such as Collibra.

• Lead and support governance reviews, compliance assessments, monitoring activities, and control testing to ensure ongoing adherence to enterprise data governance policies, regulatory requirements, and industry best practices.

• Mentor and provide guidance to junior team members and consultants, contributing to capability development and promoting consistent adoption of data quality and governance standards.

• Influence strategic data governance initiatives by identifying opportunities for process improvement, automation, operational efficiencies, and enterprise-wide data quality enhancement.

The following experience is required and/or preferred:

• Bachelor's degree in Information Systems, Computer Science, Data Management, or related field, with significant experience in Data Quality, Data Governance, or Enterprise Data Management.

• Demonstrated experience leading data quality initiatives and working with business and technology stakeholders across multiple functional areas.

• Strong experience with Collibra Data Quality, Collibra Data Catalog, or comparable enterprise data governance and metadata management platforms preferred.

• Advanced proficiency in SQL and experience with Python or other programming languages used for data analysis, automation, and quality monitoring.

• Strong understanding of database architecture, data integration, data lineage, and data management principles.

• Experience designing and developing business intelligence and data visualization solutions using Power BI, Incorta, or similar analytics platforms.

• Deep knowledge of Data Governance, Data Quality, Master Data Management, Metadata Management, and Enterprise Data Management concepts and best practices.

• Proven ability to communicate complex technical and data governance concepts to both technical and non-technical audiences, including senior leadership.

• Demonstrated ability to influence stakeholders, drive change, and lead cross-functional initiatives with minimal supervision.

• Excellent verbal, written, presentation, facilitation, and stakeholder management skills required.

• Recognized expertise in Data Governance and Data Quality methodologies, including experience establishing standards, controls, and monitoring frameworks.

• Highly adaptable, proactive, and capable of managing multiple priorities in a dynamic environment.