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Company: Vale
Role: Global Program Leader - Advanced Analytics
Duration: January 2017 - June 2023
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Vale is one of the largest mining companies in the world. It is headquartered in Brazil and has operations in over 30 countries. The company is a global leader in producing iron ore, nickel, and other minerals.

As the Global Advanced Analytics Program Leader, I oversaw the analytics and AI programs lifecycle within the Global Digital Transformation Program.

Responsibilities

  • Managed a $10-15 million budget and a team of full-time employees and global partner resources.

  • Established a robust BI, ML, and AI framework, focusing on agile methodologies and innovative approaches for rapid value recognition.

  • Led the development of the Advanced Analytics COE, contributing to Vale's recognition as one of the world's most innovative companies.

  • Implemented AI strategies at the executive board level, focusing on sustainable AI solutions and R&D.

  • Managed programs generating over $80 million annually in audited benefits, optimizing supply chains, asset health, and compliance processes.

  • Directed global cross-functional teams in successfully deploying AI and advanced analytics solutions across multiple countries, ensuring alignment with Vale's strategic goals.

  • Collaborated with senior leadership and operational teams to prioritize and drive high-impact analytics initiatives, improving decision-making processes across the organization.

  • Championed the integration of predictive maintenance solutions, reducing downtime and improving asset reliability across mining operations.

  • Developed and implemented data governance and quality assurance practices, ensuring consistent and accurate data for advanced analytics applications.

  • Fostered a culture of innovation by leading initiatives that encouraged the adoption of AI and machine learning technologies throughout the company.

  • Managed relationships with key external partners and vendors, ensuring the successful delivery of advanced analytics projects and technology implementations.

  • Oversaw the development of real-time analytics dashboards, providing executives and operational leaders with actionable insights to enhance operational efficiency.

  • Spearheaded AI-driven sustainability initiatives, focusing on reducing carbon emissions and improving environmental performance across Vale's global operations. Managed a $10-15 million budget and a team of full-time employees and global partner resources.

Technologies Utilized

  • Azure Synapse and Power BI: Utilized for data integration, management, and visualization to enhance decision-making processes.

  • Azure Machine Learning: Deployed for advanced analytics and machine learning solutions.

  • Python and R: For data analysis and predictive modeling.

  • SQL: Used for querying and managing relational databases.

  • Databricks: Leveraged for big data processing and analytics, particularly in AI-driven initiatives.

  • Alteryx and KNIME: Tools for data preparation and analytics automation.

  • Tableau: For creating interactive dashboards and visualizations to track performance metrics.

  • TensorFlow and PyTorch: For deep learning applications.

  • SAP and Microsoft Dynamics 365: Integrated for data-driven process automation and operational improvements.

  • Microsoft Azure and Amazon Web Services (AWS): Used for cloud infrastructure, data storage, and computing resources.

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