Manager, D&Ai Data Operations

Overview

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated more than $91 billion in net revenue in 2023, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

The Strategy & Transformation organization is a critical enabler of PepsiCo’s “Perform to Potential” vision and is foundational to our long-term competitiveness and success. The S&T operating model has been thoughtfully designed to support PepsiCo’s long-term strategic objectives, work in concert with the Sectors and enable a BU centric model.  

In this role, you will support our growing data organization by playing a key role in maintaining data pipelines and corresponding platforms (on-prem and cloud) while collaborating with global teams on DataOps initiatives. 

Responsibilities

• Manage the day-to-day operations of data pipelines, ensuring governance, reliability, and performance optimization on Microsoft Azure.
• Ensure availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence.
• Support DataOps 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 improve data reliability, quality, and operational efficiency.
• Contribute to the development of governance models and execution roadmaps to optimize efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments.
• Work on CI/CD integration, data pipeline automation, and self-healing capabilities to enhance enterprise-wide data operations.
• Collaborate on building and supporting next-generation Data & Analytics platforms while fostering an agile and high-performing DataOps team.
• Support the adoption of Data & Analytics technology transformations, ensuring full sustainment capabilities and automation for proactive issue identification and resolution.
• Partner with cross-functional teams to drive process improvements, best practices, and operational excellence within DataOps.
• Support the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.
• Assist in managing end-to-end data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability.
• Ensure seamless batch, real-time, and streaming data processing while focusing on high availability and fault tolerance.
• Contribute to DataOps automation initiatives, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps, Terraform, and Infrastructure-as-Code (IaC).
• Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to enable data-driven decision-making.
• Work with IT, data stewards, and compliance teams to align DataOps practices with regulatory and security requirements.
• Support data operations and sustainment efforts, including testing and monitoring processes to support global products and projects.
• Manage day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements.
• Engage with SMEs and business stakeholders to align data platform capabilities with business needs.
• Participate in the Agile work intake and management process to support execution excellence for data platform teams.
• Collaborate with cross-functional teams to troubleshoot and resolve issues related to cloud infrastructure and data services.
• Assist in developing and automating operational policies and procedures to improve efficiency and service resilience.
• Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies.
• Foster a customer-centric environment, advocating for operational excellence and continuous service improvements.
• Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps.
• Adapt to shifting priorities and support cross-functional teams in maintaining productivity while meeting business goals.
• Leverage technical expertise in cloud and data operations to improve service reliability and scalability.

Compensation and Benefits: