Associate Manager

• Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives
• Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred
• Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence
• Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy
• Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency
• Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments
• Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes
• Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture
• Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution
• Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps

• Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics
• Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability
• Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance
• Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform
• Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making
• Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams
• Support data operations and sustainment activities, including testing and monitoring processes for global products and projects
• Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams
• Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements
• Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs
• Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams
• Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams
• Support the development and automation of operational policies and procedures, improving efficiency and resilience
• Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies
• Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery
• Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps
• Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals
• Utilize technical expertise in cloud and data operations to support service reliability and scalability

Compensation and Benefits:

• The expected compensation range for this position is between $89,000 - $149,000
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process
• Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan

• 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred
• 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance
• 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams
• Strong experience with data ingestion, transformation, orchestration, and storage workflows in Azure.
• Hands-on knowledge of Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Functions, and Event Hub/Kafka for batch and real-time processing.
• Familiarity with streaming and micro-batch processing using tools like Spark or Databricks.
• Strong understanding of platform monitoring, alerting, and incident response.
• Ability to troubleshoot complex data pipeline and infrastructure issues, and contribute to root cause analysis and self-healing automation.
• Experience in a lead or senior support role, with a focus on DataOps execution and delivery
• Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences
• Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements
• Customer-focused mindset, ensuring high-quality service delivery and operational efficiency
• Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment
• Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation
• Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements
• Understanding of operational excellence in complex, high-availability data environments
• Ability to collaborate across teams, building strong relationships with business and IT stakeholders
• Basic understanding of data management concepts, including master data management, data governance, and analytics
• Knowledge of data acquisition, data catalogs, data standards, and data management tools
• Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results
• Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement