Remote Data Steward for Oracle Cloud Supply Chain Planning | WFH at Get It Recruit - Transportation

Job Overview

We are seeking a dedicated Oracle Cloud Supply Chain Planning Data Steward to join our innovative and fast-paced team in a fully remote capacity. In this pivotal role, you will ensure the integrity and precision of supply chain data within our Oracle Cloud systems, playing a key part in driving effective business insights and decisions.

Key Responsibilities

• Act as the steward of data quality, maintaining the accuracy and consistency of supply chain information across the Oracle Cloud platform.
• Design and enforce data governance strategies and best practices to uphold data integrity.
• Collaborate effectively with cross-functional teams including supply chain, procurement, manufacturing, and IT to ensure alignment and accuracy in data handling.
• Develop and articulate key metrics and analytics that facilitate informed decision-making across the organization.
  
  

Required Skills

• Extensive knowledge of Oracle Cloud Supply Chain Planning (SCP) and Master Data Governance (MDG).
• Strong analytical capabilities coupled with meticulous attention to detail.
• Excellent interpersonal and communication skills, fostering collaboration with diverse teams.
• Proven ability to define and implement critical metrics and analytics.
• Experience in mentoring and providing support for data tools and processes.
  
  

Qualifications

• A bachelor's degree in Supply Chain Management, Data Management, or a related discipline.
• A minimum of 6-7 years in supply chain planning, data management, or a closely related role.
  
  

Career Growth Opportunities

This position presents a unique opportunity for professional advancement as you interface with various departments and refine your expertise in data governance and analytics, positioning you as a leader in data management within our organization.

Company Culture And Values

We are committed to promoting a culture of collaboration, innovation, and excellence in data quality. Your contributions will be valued within an environment that encourages shared knowledge and ongoing improvement.

Employment Type: Full-Time