Head of Data

Job Description : HEAD OF MASTER DATAA ZURICH SWITZERLAND Open to International candidates Develop and implement the organization's master data management (MDM) strategy, ensuring alignment with business objectives. Lead the design, development, and deployment of MDM solutions, overseeing their integration with existing systems. Establish and enforce data governance policies, standards, and best practices to ensure data quality and consistency across the organization. Collaborate with cross-functional teams to identify data management needs and deliver effective solutions that support business processes. Oversee the management and maintenance of master data assets, ensuring their accuracy, availability, and security. Drive continuous improvement initiatives to enhance data management processes and technologies. Manage a team of MDM professionals, providing guidance, mentorship, and career development opportunities. Act as a liaison between IT and business units to facilitate data-related decision-making and prioritization. Monitor industry trends and advancements in data management, recommending and implementing innovative solutions as appropriate. Prepare and present reports on MDM activities, data quality metrics, and strategic initiatives to senior leadership. Profile: Bachelor's degree in Information Technology, Data Science, Business Administration, or a related field; Master’s degree preferred. Minimum of 10 years of experience in data management, with at least 5 years in a leadership role. Proven track record of implementing and managing master data management (MDM) strategies and frameworks. Extensive experience with MDM tools and technologies (e.g., Informatica, SAP MDM, IBM InfoSphere). Strong understanding of data governance principles, practices, and regulations. Experience in leading cross-functional teams and managing large-scale data projects. Excellent project management skills with a history of delivering projects on time and within budget. Proficiency in data quality management and data integration methodologies. Familiarity with cloud-based data solutions and architectures. Strong analytical and problem-solving skills, with a keen attention to detail.

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