Director, Data Governance
- Data Governance Strategy & Execution: Develop, own, and execute the data governance roadmap specifically for the data platform, encompassing data quality, MDM, data cataloguing, and compliance.
- Policy & Standards: Establish and maintain data governance policies, standards, and procedures to ensure data integrity, security, and compliance with relevant regulations (e.g., GDPR, CCPA) within the data platform.
- MDM Implementation: Lead the implementation and management of Master Data Management (MDM) solutions to ensure consistent and accurate master data within the data platform.
- Data Cataloging: Oversee the development and maintenance of a comprehensive data catalog, enabling users to easily discover, understand, and access data assets within the data platform.
- Compliance & Risk Management: Ensure data governance practices align with regulatory requirements and internal policies, and proactively identify and mitigate data-related risks within the data platform.
- Data Quality Management: Define and implement data quality metrics and processes to monitor and improve data accuracy, completeness, and consistency within the data platform.
- Collaboration & Communication (Engineering, DevOps, Data Modelling, Visualization): Collaborate closely with engineering, DevOps, Data Modelling, and visualization teams to ensure data governance principles are integrated into all aspects of the data platform development and operation.
- Data Pipeline Governance: Implement governance controls over data pipelines, ensuring data lineage, data quality, and security are maintained throughout the data flow.
- Data Product Governance: Define and enforce data governance standards for data products built on the data platform, ensuring data quality, security, and compliance.
- Innovation & Research: Use research and market awareness to identify new opportunities and drive data platform innovation, while ensuring data governance considerations are integrated into new initiatives.
- Training & Documentation: Support data platform adoption and engagement by developing effective training, documentation, and user guides, emphasizing data governance best practices.
- Performance Monitoring: Monitor and analyze key data platform performance metrics to identify areas for improvement, and track the effectiveness of data governance initiatives.
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
- Data Governance Expertise: Experience in data governance, data quality management, MDM, and data cataloging within a modern data platform environment (e.g., cloud-based data warehouses, data lakes, data pipelines).
- Data Platform Experience: Proven experience working with modern data platforms, including cloud-based data warehouses, data lakes, and data pipelines.
- Prototyping & Scaling: Demonstrated ability to prototype solutions, scale platform features, and bridge analytics with business execution, while adhering to data governance principles.
- Technical Acumen: Strong understanding of data architecture, data modeling, data integration, data warehousing concepts, and data governance frameworks (e.g., DAMA-DMBOK).
- Technical Skills (Preferred): Experience with MDM and data cataloging tools, data modeling tools, cloud platforms (e.g., AWS, Azure, GCP), and data transformation tools (e.g., dbt).
- Cross-Functional Collaboration: Demonstrated ability to collaborate effectively with engineering, DevOps, data modeling, and visualization teams.
- Analytical & Strategic Thinking: Ability to identify opportunities, address challenges, and optimize data platform performance using strong problem-solving skills, strategic thinking, and consideration of data governance implications.
- Communication & Influence: Excellent communication, presentation, and interpersonal skills, with the ability to influence decisions and work effectively in team-oriented environments.
- Compliance & Security: Strong understanding of data privacy regulations (e.g., GDPR, CCPA) and their impact on data governance practices.
- Digital Advertising Knowledge (Bonus): Expertise in campaign planning, budgeting, targeting, and optimization techniques is a plus, but not required.
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