Associate Manager, D&AI Data IntegrationOps (Informatica - DDH, PC, IICS)

As an Associate Manager - AIOps & MLOps Operations at our company, your role will involve supporting and enhancing the automation, scalability, and reliability of AI/ML operations across the enterprise. You will be responsible for deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. **Key Responsibilities:** - Support and maintain AIOps and MLOps programs in alignment with business objectives, data governance standards, and enterprise data strategy. - Implement real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. - Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. - Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. - Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. - Manage the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. - Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. **Additional Details:** - As part of the team, you will work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. - You will be responsible for tracking and reporting AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. - Collaboration with Data Science, DevOps, CloudOps, and SRE teams will be essential to align AIOps/MLOps strategies with enterprise IT goals. - Your role will involve supporting the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. **Qualifications:** - 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. - 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. - 5+ years of experience working within cross-functional IT or data operations teams. - 2+ years of experience in a leadership or team coordination role within an operational or support environment. - Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. - Strong communication skills, customer-centric approach, problem ownership & accountability, growth mindset, operational excellence, familiarity with CI/CD processes, and cross-functional collaboration are essential qualifications for this role. Your technical and operational expertise in cloud and high-performance computing will be crucial in understanding business requirements and earning trust with stakeholders.,