Data governance involves establishing policies and procedures to ensure data quality, security, and compliance with regulations. I would start by conducting a data audit to understand the current state of data within the organization. Then, I'd develop a governance framework that includes roles, responsibilities, and processes. This framework would be tailored to align with the organization's strategic goals and regulatory requirements, ensuring that data is managed effectively and ethically.

Ensuring data privacy and compliance with GDPR involves implementing robust data protection measures. I would establish clear data handling policies, conduct regular training for staff, and use technology solutions to monitor and enforce compliance. Additionally, I would perform periodic risk assessments and audits to identify and mitigate potential privacy risks, ensuring that personal data is processed lawfully and transparently.

To foster a culture of data-driven decision-making, I would advocate for the integration of data literacy training into the company's learning and development programs. I would also promote the use of data analytics tools and encourage cross-departmental collaboration to share insights and best practices. By highlighting the value of data in achieving business objectives, I aim to make data-driven thinking a core component of the company's culture.

In cases of resistance, I would first seek to understand the department's concerns and motivations. I would then tailor my approach to address their specific needs and demonstrate the benefits of the new policies through case studies or pilot projects. By involving key stakeholders in the policy development process and providing ongoing support and training, I would aim to build consensus and drive adoption of the new data governance policies.

In a previous role, I encountered a significant issue with data quality that was impacting decision-making. My approach involved first identifying the root cause through a thorough analysis. I then coordinated with IT and relevant business units to implement corrective actions and improve data collection processes. The outcome was a marked improvement in data accuracy and reliability, which enhanced the organization's ability to make informed decisions.