JOB DESCRIPTION
> Data Landscape Management: Oversee the overall purchasing data landscape, ensuring data is accurately integrated and maintained across systems.
> Data Architecture: Develop and maintain data architecture to support efficient data management and reporting.
> Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality and compliance.
> Data Rules: Define and implement data rules and guidelines to maintain data integrity and consistency.
> Data Quality Assurance: Conduct regular audits of data to identify and resolve discrepancies, ensuring high data quality standards.
> System Optimization: Work with IT and procurement teams to enhance the functionality and usability of data management systems.
> Compliance: Ensure all data management activities comply with company policies, industry regulations, and legal requirements.
> Stakeholder Collaboration: Work closely with internal stakeholders, including IT, finance, and operations teams, to ensure alignment and support for data initiatives.
> Training and Support: Provide training and support to internal users on data management best practices and system usage.
> Data-Driven Culture: Promote and foster a data-driven culture within the organization by advocating for the use of data in decision-making processes.
QUALIFICATIONS
> Education: Bachelor’s degree in data science, Information Technology, Business, or a related field.
> Experience: Minimum of 3-5 years of experience in data management, data governance, or a related role.
> Technical Skills: Proficiency in data management systems, databases, and data governance tools. Strong SQL and Excel skills are a plus.
> Communication Skills: Excellent verbal and written communication skills. Ability to work effectively with internal stakeholders.
> Attention to Detail: Strong attention to detail and organizational skills.
> Problem-Solving: Ability to identify and resolve issues related to data management and governance.
Preferred Qualifications:
Experience with specific data management and governance systems (e.g., SAP BW, Oracle Data Warehouse).
Knowledge of industry-specific data management practices and standards.