Associate Manager-Data Operations (Sales & Transformation)

Overview

Associate Manager, D&Ai Data Operations, Sales & Transformation Program Sustain

Responsibilities

• 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.

• 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.
• 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.