Director of Data Governance

📋 Description

• Develop Governance Strategy: Create and implement a Data Governance roadmap that aligns with the vision of Enterprise Information & Governance.

• Policy Oversight: Review, update, and enforce the Data Management Policy and Data Governance Charter, ensuring they meet current regulatory requirements and business needs.

• Council Leadership: Act as a pivotal leader within the Data Governance Council (DGC), guiding decision-making on data standards and addressing cross-functional data conflicts.

• Quality Management: Execute the Data Quality Management Procedures, setting KPIs for data accuracy, completeness, and consistency.

• Standardization: Establish organization-wide data standards, including protocols for metadata management, data lineage, and master data management (MDM).

• Remediation: Lead initiatives to identify "bad data" and supervise remediation efforts in collaboration with data owners and stewards.

• AI Preparedness: Partner with the CFO and Security teams to ensure data pipelines are optimized for AI applications while upholding stringent security measures.

• Access Control: Collaborate with Security to determine data classification levels and oversee policies for managing access to high-risk data.

• Compliance: Ensure that data practices comply with global privacy regulations (GDPR, CCPA, etc.) and align with internal Enterprise Information & Governance mandates while working closely with Deel compliance teams.

• Stewardship Program: Recruit, train, and oversee a network of Data Stewards and Data Owners across various business units to promote local accountability.

• Data Culture: Champion the concept of Data as an Asset, fostering a culture of data literacy and accountability across the organization.

• Executive Reporting: Provide consistent updates to the CFO and executive leadership regarding governance maturity, risk levels, and the ROI of data quality initiatives.

⛳️ Requirements

• Over 10 years of experience in Data Management, Data Governance, or Information Architecture, with a minimum of 5 years in a leadership position.

• Extensive knowledge of data profiling tools, metadata harvesters, and modern data stacks (such as Snowflake, dbt, etc.).

• Experience with AI systems deployed in production.

• Proven capability to draft "Decision Papers" and Charters that secure executive endorsement.

• In-depth understanding of DAMA-DMBOK frameworks and the data quality lifecycle management.

• Outstanding ability to communicate technical data risks in terms of business impact for C-suite stakeholders.

🏝️ Benefits

• Opportunities for stock grants based on your role, employment status, and location.

• Additional perks and benefits tailored to your employment status and country.

• Flexibility for remote work, including optional access to WeWork locations.