Summary

The Data Modeler is responsible for overseeing the design, implementation, and maintenance of data models that support business processes and decision-making. This role involves leading a team of data modelers, collaborating with stakeholders, vendors, and ensuring data models are aligned with Global Functions organizational goals.

About the Role

Major accountabilities:

• Design and Development: Create and maintain conceptual, logical, and physical data models using various database technologies.
• Collaboration: Work with data architects, data engineers, business analysts, data analysts, data scientists, and business stakeholders to understand data requirements and translate them into Data Products
• Performance Optimization: Optimize Data models and Data consumption models for performance and scalability.
• Quality Assurance: Ensure data models are accurate, consistent, and meet quality standards.
• Documentation: Prepare detailed documentation of data models, including data dictionaries and metadata.
• Compliance: Ensure data models comply with internal policies and external regulations.
• Data Strategy: Develop and implement data modeling strategies that align with business objectives.
• Innovation: Stay updated with the latest data modeling tools and technologies, and implement best practices.
• Data Governance: Develops and enforces data modeling governance policies and procedures. Ensures compliance with data regulations and standards.
• Training: Conduct training sessions for team members and stakeholders on data modeling concepts and tools.
• Evaluation: Continuously evaluate and improve data modeling processes and methodologies.
• Stakeholder Engagement: Engage with stakeholders to gather feedback and ensure data models meet their needs.
• Oversight: Oversees the development and lifecycle of data products. Ensures products meet user needs and business goals
• Security: Protects data from unauthorized access and breaches. Implements security measures and monitors for threats.

• Educational Background: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Experience: At least 7-10 years of experience in data modeling and allied data areas, with a minimum of 2 years in a leadership role.

• Technical Skills: Proficiency in data modeling tools (e.g., Erwin), SQL, and big data - database management systems. Understanding of Big Data Platforms landscape. Basic Data Engineering skills is a plus.
• Analytical Skills: Strong analytical and problem-solving skills.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Project Management: Experience in managing data modeling projects and leading cross-functional teams.
• Attention to Detail: High level of accuracy and attention to detail in data modeling and documentation.

• English.