Material Master Data Governance Specialist | alfanar Electric

Requisition ID: 13442

City: C. Supply Chain

Group overview:

Headquartered in Riyadh, Saudi Arabia, we operate construction and manufacturing businesses, design & development centers and a host of facilities in the Middle East and other countries.

alfanar is involved in:

• Electrical, Electromechanical and Civil Engineering Construction
• Manufacturing and Marketing Electrical Construction Products
• Allied Engineering Services

Our Main Divisions:

• alfanar electric
• alfanar Construction
• alfanar Building Systems

alfanar electric

alfanar electric is the industrial arm of alfanar, manufacturing a variety of low, medium and high voltage electrical construction products.

alfanar electric operates industries in:

• Riyadh and Jubail, Saudi Arabia
• Dubai, UAE
• London, UK

alfanar has a development and engineering center in Chennai, India.

Industrial Complex, Riyadh

The center of alfanar’s industrial activities is alfanar Industrial Complex situated in the Third Industrial Zone on Al-Kharj Road, Riyadh. Spread across 700,000 square meters, the Complex houses alfanar’s facilities and has a comprehensive infrastructure including a data and communication center as well as a commercial zone.

Job Purpose

Ensure the accuracy, consistency, and integrity of material master data within the supply chain planning process. Develop and enforce data governance policies and procedures specifically for material master data, working closely with procurement, production, logistics, and other departments to define and uphold data standards. Implement best practices for material master data management, focusing on optimizing data quality through rigorous monitoring and validation processes. Enhance decision-making in supply chain planning by providing reliable and actionable material data insights, and support overall business objectives by aligning material data governance with supply chain planning goals and continuously improving processes to adapt to evolving needs.

Key Accountability Areas

Data Governance Strategy:

• Develop and implement a comprehensive data governance strategy for material master data within the supply chain planning process, ensuring alignment with organizational objectives. Define policies, standards, and procedures for the creation, maintenance, and utilization of material master data.

Stakeholder Collaboration:

• Collaborate with cross-functional teams, including supply chain, IT, procurement, production, and logistics, to understand material data requirements and its usage across different business units. Foster communication and raise awareness about the importance of material data governance among stakeholders.

Data Quality Management:

• Establish and enforce data quality standards and procedures to ensure the accuracy and reliability of material master data. Implement robust data quality monitoring and remediation processes to address and rectify any data issues promptly.

Master Data Standards:

• Define and maintain standards for material master data, including naming conventions, data formats, and classifications. Ensure compliance with industry standards and regulatory requirements to maintain consistency and accuracy.

Master Data Lifecycle Management:

• Develop and implement processes for managing the entire lifecycle of material master data, including creation, modification, archiving, and retirement. Apply data governance principles consistently throughout the data lifecycle to support effective supply chain planning.

Technology Integration:

• Collaborate with IT teams to implement and integrate master data management (MDM) tools and technologies specific to material data. Ensure these tools are effectively integrated with existing systems and applications to maintain data consistency across the supply chain.

Compliance and Security:

• Ensure that material master data governance practices comply with relevant data protection regulations and security standards. Implement measures to safeguard sensitive material data from unauthorized access and potential breaches.

Continuous Improvement:

• Regularly assess and improve material master data governance processes based on feedback, industry best practices, and evolving business needs. Identify and implement opportunities for automation and efficiency to streamline data management practices.

Reporting and Metrics:

• Establish key performance indicators (KPIs) and metrics to measure the effectiveness of material master data governance efforts. Generate and analyze reports to track data quality and compliance, providing insights for continuous improvement and strategic decision-making.

Role Accountability

HR Proficiency:

• Ability to obtain updated soft and technical skills related to the job
• To have a vision and a plan for the career path and how to achieve it.

Delivery:

• Perform the planned activities to meet the operational and development targets as per delivery schedules.
• Utilize resources effectively to achieve objectives within efficient cost and time.
• Provide a periodic report formatted by detailing the deviation and execution of planned tasks.

Problem-Solving:

• Solve any related problems arise and escalate any complex operational issues.

Quality:

• Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities.

Business Process Improvements:

• Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.

Compliance:

• Comply with related policy and procedures and work instructions.

Health, Safety, and Environment:

• Ensure compliance of relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products/services.

Academic Qualification: Bachelor Degree in Computer Science or Any relevant field

Work Experience: 2 to 5 Years

Technical / Functional Competencies:

• Risk Assessment
• Well Organized
• Big Data Analytics
• Data Cleansing
• Data Mining