Performance & Analytics specialist

As the Global Operations Performance and Analytics Manager, your primary responsibility is to develop and manage operations processes, systems, and reporting across all Business Lines to enhance customer satisfaction and drive profitability in a safe working environment. Your role includes leading data, analytics, and AI projects globally, acting as a strategic partner for scalable solutions, managing cross-functional teams, delivering automation solutions, driving digital transformation, and ensuring compliance with regulations. Key Responsibilities: - Lead and manage data, analytics, and AI projects across Quality and Operations functions. - Translate complex business challenges into scalable digital and AI-driven solutions. - Develop and execute AI/advanced analytics initiatives from idea generation to value realization. - Manage cross-functional teams and stakeholders through AI project phases. - Serve as the business process owner for key analytics platforms. - Deliver automation and intelligence solutions using Power BI and Power Apps. - Drive digital transformation by integrating AI and advanced analytics. - Design and deliver strategic insights and data stories through visualizations. - Develop technical solutions using .NET, SQL, and Azure technologies. - Partner with IT, data science, and business teams to ensure high-quality data pipelines. Qualifications Required: - Graduate or Postgraduate in Engineering, Computer Science, Finance, Business Management, Data Science, Statistics, Mathematics, or related fields. - 13-17 years of experience in analytics, PBI, Power apps, AI, digital transformation, or quality/operations-focused roles. - Minimum 10+ years of experience in Quality and Operations or any other business function. - Proven expertise managing Power BI, Power Apps, and automation solutions. - Experience delivering AI and machine learning projects end-to-end. - Strong project management experience with cross-functional teams. - Knowledge in unsupervised machine learning algorithms and Deep-Learning. - Exposure to Microsoft Azure Data Lake, Azure Data Factory, Azure Synapse Analytics. - Comprehensive knowledge of data design, modeling, management, and visualization. - Excellent analytical skills and decision-making abilities. - Proficiency in both spoken & written English language.,