Manager Analytics and AI (Supply Chain)

Work closely with stakeholders from business units, IT, finance, operations, and planning to understand analytical needs and translate them into practical solutions. Ensure alignment and adoption of analytics and AI tools across the organization.

Establish key performance indicators (KPIs) to measure the impact of analytics and AI initiatives. Deliver regular reporting and insights to senior leadership to inform strategic decisions.

Oversee data governance practices and ensure high data quality standards. Collaborate with IT and data engineering teams to ensure data accessibility, security, and integrity across platforms.

Define and implement the analytics and AI strategy aligned with the organization’s business objectives. Identify opportunities for data-driven decision-making and prioritize initiatives that provide measurable value.

Lead the design, development, and deployment of advanced analytics models and AI solutions including machine learning, natural language processing, and predictive analytics to optimize operations, drive innovation, and support strategic initiatives.

Lead and mentor a team of data scientists, analysts, and AI specialists. Build internal capabilities through training, recruitment, and development initiatives. Foster a high-performance culture and encourage experimentation and innovation.

Ensure that AI solutions are developed and deployed responsibly, ethically, and in compliance with regulatory and privacy standards. Manage risks associated with data use and model deployment.

Stay abreast of emerging trends, technologies, and regulatory developments in AI and analytics. Evaluate new tools and methodologies, and recommend their adoption to enhance the organization’s capabilities.

• Change Management in Data-driven Environments
• Influencing and stakeholder engagement

• Bachelor’s degree in Statistics, Engineering, Data Science, Mathematics, Computer Science, Economics, or a related field
• Curiosity and continuous learning
• Experience working with cross-functional teams and managing data-driven transformation initiatives.
• Expertise in data science, machine learning, and AI frameworks
• Strong communication and stakeholder management skills.
• Project management and agile delivery experience.
• Statistical Analysis and Predictive Modeling
• Proven track record of leading AI or advanced analytics projects from concept to implementation.
• Excellent problem-solving and critical thinking abilities.
• Strategic thinking and vision
• Business Intelligence and Visualization
• 10+ years of experience in analytics, data science, or AI, with at least 3 years in a managerial or leadership role within engineering industrial environment.
• Advanced SQL and database management skills.
• Business acumen and customer orientation
• Master’s degree or Ph.D. in a quantitative discipline or AI-related field
• Strong knowledge of data visualization and BI tools like Power BI
• Data Architecture and Engineering Principles