Data Governance Lead

About the role

The role focuses on deeper engagement with business partners and developing the existing Enterprise Data Governance and Master Data Management team. This role will help fully implement a data quality initiative and work closely with other data teams to support and build the data catalog and data quality tools.

Responsibilities

• Support the Implementation Of The Data Governance Strategy
• Partner with the Data Privacy function to support compliance with all applicable data privacy regulations and policies.
• Collaborates with the Business Operations, Cybersecurity, and IT to identify, recommend and/or implement processes and technologies that support successful deployment of the data governance strategy across the enterprise.
• Align tactical initiatives to the data governance strategy across projects and programs.
• Implement data governance strategy, controls, and capabilities including data catalog, metadata management, data quality certification, data quality metrics, reference data management, data domain hierarchy and taxonomy management, reporting and analytics governance, data classification and tagging, data architecture, and data modeling.
• Support Master Data Management in keeping current service levels and enhancing MDM capabilities.
• Enhance the data literacy program to educate executives and functional teams on the importance of data and drive a data-driven organizational culture.
• Support the execution of the data governance vision, mission, strategy, and charter.
• Create or support the creation of data and system flow documentation and process maps.
• Work to align other key data capabilities including metadata repositories, data dictionaries, data lineage, Business Process Maps and training materials with the data and system process flows.
• Create or support the creation of data and system flow documentation and process maps.
• Lead working sessions with operational and information system owners on the onboarding of new data assets including documentation of processes, procedures, system interfaces, data dictionaries, data models and requirements for all new analytical data assets.
• Identify data quality "hot spots" or points of exposure. Determine strategies to improve data quality controls and monitoring routines to de-risk points of data quality vulnerabilities using approved tools and solutions.
• Collaborate with the data lake development team to implement guidelines and controls on data.
• Drive Data Governance On An On-going Basis
• Chair Data Governance Steering Committee responsible for defining data policies and standards.
• Manage stakeholder communication and progress reporting at various levels of the organization including leadership and executives.
• Continuously identifies or supports opportunities to streamline and simplify the execution of Data Transformation initiatives and data capabilities.
• Support the organization’s efforts around master data management, metadata management, data stewardship, data privacy and security.
• Actively contribute with a broad range of stakeholders as part of the Data Governance Council.
• Continue the Data Governance framework including determining accountabilities, progress dashboards, published minutes, decision logs, change controls, data issue management and policies.
• Operate, monitor and report on data quality.
• Data Security Lead the design, build, and execution of data quality standards, data protection standards and adoption requirements across the enterprise.
• Take accountability for setting documentation and enforcement policies and procedures that track and ensure high data quality is created and management in alignment with business needs.
• Create defining metrics and KPIs as part of a Data Quality Scorecard as well as dashboards and reports to keep track of these metrics and KPIs.
• Forge strong working relationships with business partners to analyze root cause for data defects and duplicate data issues - prioritizing remediation efforts and ensure assessment of remediation.
• Afford assistance in the implementation of data security measures including ensuring sensitive data is masked for non-authorized users.
• Act as a liaison to the business on the quality of data and outstanding gaps.

Qualifications

• 8 years’ experience working in data governance, data quality, analytics, or data management roles, with 12 years of overall experience.
• Expert understanding of data concepts such as data definitions, metadata, lineage, and quality.
• Strong communication and facilitation skills.
• Strong experience using data catalogs or metadata management tools.
• Strong experience implementing a data quality program.