Cloud, AIOps, MLOps Manager

We Are PepsiCo

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Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.

Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

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The Opportunity

We are seeking a highly skilled Cloud, AIOps, MLOps Manager to lead and oversee the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires deep expertise in AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will drive AI/ML model deployment, continuous monitoring, and self-healing automation to optimize system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights.

• Lead and sustain large-scale AIOps, MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy.
• Oversee the implementation of real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency.
• Develop program 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, data pipeline automation, and self-healing capabilities across the enterprise. Partner in building the next generation D&A platform(s), and leading a high-performing data operations team.
• Lead and manage the full people, process and technology driven Data & Analytics platform technology strategy and cultural shift for PepsiCo IT to a world class data first organization working across all Sector S&T.
• Champion of PepsiCo’s Data & Analytics program and platform management supporting large scale global data engineering efforts partnering across S&T organization.
• Support Data & Analytics Technology Transformations to provide full sustainment capabilities across the PepsiCo Data Estate, including data platform management automation of proactive issue identification and self-healing abilities.

Your Impact

As Cloud, AIOps, MLOps Manager your scope would consist of:

AIOps & Observability Automation:

• Design and implement AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, Azure Sentinel, and AI-driven alerting.
• Deploy Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring.
• Enable AI-driven anomaly detection and root cause analysis (RCA) using Azure Machine Learning (Azure ML) and AI-powered log analytics.
• Develop self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues.

MLOps & Machine Learning Pipeline Management:

• Lead end-to-end ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for ML (CI/CD).
• Deploy scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances.
• Automate feature engineering, model versioning, hyperparameter tuning, and drift detection using Azure ML Pipelines and MLflow.
• Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation.
• Implement monitoring and explainability for ML models using Azure Responsible AI Dashboard, Fairlearn, and InterpretML.

Operational Excellence & Cross-Team Collaboration:

• Partner with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals.
• Collaborate with business stakeholders and IT leadership to implement AI-driven insights and automation for improving operational decision-making.
• Define and track AI/ML operational KPIs, including model accuracy, latency, infrastructure efficiency, and predictive maintenance metrics.
• Risk, Compliance & AI Governance.
• Implement AI ethics, bias mitigation, and responsible AI practices for model governance in Azure Responsible AI Toolkits.
• Ensure compliance with Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies.
• Develop robust risk management strategies for AI-driven operational automation in Azure environments.
• Present program updates, risk assessments, and AIOps, MLOps maturity progress to senior executives and key stakeholders.
• Work collaboratively with wider PepsiCo colleagues to ensure your customer is delighted with their Azure cloud experience.
• Attract and build a diverse, high-performing team with capabilities needed to achieve current and future business objectives.
• Remove barriers to agility and enable the team to shift priorities quickly without losing productivity.
• Develop the appropriate organizational structure, resource plans and culture to support the business objectives and customer deliverables.
• Leverage your technical and operations expertise in cloud and high-performance computing to establish a solid understanding of the business, customers need, and ability to earn trust in relationships.