Senior Director Data Governance

As the Data & AI Governance Lead at McDonald's, your primary responsibility will be to ensure the smooth flow of the data value chain, unlocking the full potential of data to drive business and customer value. You will be instrumental in creating tools, structures, and processes that empower the organization to manage data assets securely, responsibly, and efficiently. Additionally, you will play a key role in promoting the responsible use of AI, ensuring transparency, accountability, and adherence to ethical standards. Your ultimate goal will be to build trust in data and AI technologies, enabling McDonald's to enhance the customer experience and expand the customer base. Key Responsibilities: - Define and implement a comprehensive data governance strategy aligned with organizational goals - Establish and maintain governance structures, including councils and committees, to oversee data policies and initiatives - Enforce data quality frameworks to ensure accuracy, consistency, and reliability of data across the organization - Define roles and responsibilities for data stewardship, ensuring clarity on data ownership and accountability for data quality and usage - Establish and enforce data privacy and security policies to protect sensitive information and comply with regulations - Define data quality standards to ensure effective awareness, accountability, oversight, and visibility of data quality - Partner with Legal to support data retention policy definition - Identify, classify, and provide context for critical data elements - Trace and document the origin and transformation of data throughout its lifecycle within a business context - Develop governance frameworks for the ethical use of AI, ensuring alignment with industry standards and best practices - Foster a culture of data governance and responsible AI through training and awareness initiatives - Work with legal, compliance, and business units to ensure cohesive implementation of governance policies - Manage teams including performance planning and evaluations Qualifications Required: - Bachelor's degree in Data Science, Information Systems, Business Administration, or a related field - Master's degree or relevant certifications in data governance, AI, or related areas is a plus - 15+ years of experience in data governance, AI governance, or related data management roles, with at least 5 years in leadership positions - Proven experience in establishing and leading data governance frameworks, responsible AI governance, and data privacy and security protocols in large organizations - Demonstrated ability to drive cross-functional collaboration and influence senior leadership and cross-functional teams - Strong communication and stakeholder management skills,