Associate Manager, D&AI AIOps, MLOps Operations

We are PepsiCo

PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.

We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Purpose. For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.

The Opportunity

• We are seeking a skilled Associate Manager – AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in 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.
• Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy.
• Assist in implementing 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.
• Assist in managing 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.

Your Impact

As Associate Manager, D&AI AIOps, MLOps Operations, Agro & Sustainability, your scope would consist:

• Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting.
• Assist in deploying 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) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics.
• Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues.
• Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models.
• Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances.
• Automate feature engineering, model versioning, 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 basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML.
• Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals.
• Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making.
• Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency.
• Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience.
• Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits.
• Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies.
• Assist in developing risk management strategies for AI-driven operational automation in Azure environments.
• Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed.
• Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives.
• Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity.
• Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals.
• Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders.

Who Are We Looking For?

Experience

• 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.
• Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence.
• Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution.
• Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction.
• Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment.
• Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability.
• Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies.
• Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration.
• Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks.
• Strong understanding of data acquisition, data catalogs, data standards, and data management tools.
• Knowledge of master data management concepts, data governance, and analytics.

If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements.

What can you expect from us:

• Excellent analytical skills and the ability to translate analytical findings into actionable solutions and processes.
• Organized personality.
• Team player.
• Ability to manage stress and meet deadlines while maintaining high levels of accuracy.
• Advocates for and embraces the use of new tools and techniques.
• Problem Solving.
• Seeks opportunities to strengthen digital culture through collaborating and sharing knowledge.
• Track record of improving processes, leading projects and influencing decision-makers.
• Has an informed opinion on digital trends, including fluency with specific digital technologies.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.