Procurement Systems & Analytics Specialist (Digital Transformation)

• Expand the breadth of the Analyst coverage across the Procurement team (specific areas detailed below under responsibilities) Master all Procurement systems and data sources to become a “go-to” resources for the Procurement team.
• Collaborate with a cross-functional team and lead development and enhancement of AI-driven data processes.
• Perform business process analysis and own the design and improvement of new and existing tools and processes to support business decisions.
• Regularly review reporting, make recommendations for necessary changes and implement improvements.
• Effectively resolve roadblocks to collection of complete and accurate data and adoption of tools.
• Identify data integrity issues and lead cross functional efforts to develop processes to resolve discrepancies.
• Using data analysis methods, develop recommendations to leadership for improvements in reporting, KPI's and risk management.
• Create mapping of interactions and responsibilities between Procurement, Manila Service Center, Finance, and other departments.
• Responsible for the aggregation and consolidation of data from multiple sources and the necessary analysis to update iSave reports, Procurement KPI tracking, standard cost setting and Purchase Price Variances (PPV).
• Working with a cross-functional team, identify and resolve issues impacting KPI's.

• Design and implement AI-powered analytics tools to optimize data insights.
• Utilize AI techniques to automate data cleaning and visualization.
• Develop machine learning models to identify trends and make data-driven predictions.
• Ensure data integrity, accuracy, and security in AI models and analytics platforms.
• Develop and launch automation solutions
• Support project team in developing reports, tables, fields, data interfaces and application extensions.
• Develop testing scenarios and write test scripts.
• Develop user guides and training materials.

• Bachelor's degree in data analytics, supply chain management, computer science, or related field.
• Minimum of four years of analytical experience performing detailed analyses.
• Formal education and/or experience with AI and machine learning tool solution development.
• Experience in defining, scoping and implementing projects.
• Advanced knowledge of SharePoint, Excel, PowerPoint, and Power BI along with experience in writing queries to access information from relational database management systems.
• Previous experience with Oracle EBS a plus.
• Proven success in the identification of issues using advanced analytics.
• Proven experience in data analysis and AI-driven analytics tools.
• Proven experience developing automation solutions.
• Hands-on experience in developing and deploying machine learning models
• Detail-oriented, analytical and results-driven.
• Motivated problem solver.
• Excellent communication skills and ability to build cross-functional relationships.
• Ability to manage and manipulate large amounts of data quickly.
• Ability to manage multiple simultaneous requests and projects.
• Ability to work in a fluid environment without close supervision.
• Competent within the business domain and have knowledge of business principles and business solutions.
• Able to work in a team setting and assist stakeholders in articulating problems and opportunities, establishing viable testing plans and reaching agreement on a quality future state.

• Maybe sedentary for extended periods of time

• None

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