Associate Manager, D&AI Data IntegrationOps (ECG, TIBCO, KAFKA - Sustain)

Overview We are seeking an Associate Manager – Data IntegrationOps to support and assist in managing data integration and operations (IntegrationOps) programs within our growing data organization. In this role, you will help maintain and optimize data integration workflows, ensure data reliability, and support operational excellence. This position requires a solid understanding of enterprise data integration, ETL/ELT automation, cloud-based platforms, and operational support. Support the management of Data IntegrationOps programs by assisting in aligning with business objectives, data governance standards, and enterprise data strategies. Monitor and enhance data integration platforms by implementing real-time monitoring, automated alerting, and self-healing capabilities to help improve uptime and system performance under the guidance of senior team members. Assist in developing and enforcing data integration governance models, operational frameworks, and execution roadmaps to ensure smooth data delivery across the organization. Support the standardization and automation of data integration workflows, including report generation and dashboard refreshes. Collaborate with cross-functional teams to help optimize data movement across cloud and on-premises platforms, ensuring data availability, accuracy, and security. Provide assistance in Data & Analytics technology transformations by supporting full sustainment capabilities, including data platform management and proactive issue identification with automated solutions. Contribute to promoting a data-first culture by aligning with PepsiCo’s Data & Analytics program and supporting global data engineering efforts across sectors. Support continuous improvement initiatives to help enhance the reliability, scalability, and efficiency of data integration processes. Engage with business and IT teams to help identify operational challenges and provide solutions that align with the organization’s data strategy. Develop technical expertise in ETL/ELT processes, cloud-based data platforms, and API-driven data integration, working closely with senior team members. Assist with monitoring, incident management, and troubleshooting in a data operations environment to ensure smooth daily operations. Support the implementation of sustainable solutions for operational challenges by helping analyze root causes and recommending improvements. Foster strong communication and collaboration skills, contributing to effective engagement with cross-functional teams and stakeholders. Demonstrate a passion for continuous learning and adapting to emerging technologies in data integration and operations. Responsibilities Support and maintain data pipelines using ETL/ELT tools such as Informatica IICS, PowerCenter, DDH, SAP BW, and Azure Data Factory under the guidance of senior team members. Assist in developing API-driven data integration solutions using REST APIs and Kafka to ensure seamless data movement across platforms. Contribute to the deployment and management of cloud-based data platforms like Azure Data Services, AWS Redshift, and Snowflake, working closely with the team. Help automate data pipelines and participate in implementing DevOps practices using tools like Terraform, GitOps, Kubernetes, and Jenkins. Monitor system reliability using observability tools such as Splunk, Grafana, Prometheus, and other custom monitoring solutions, reporting issues as needed. Assist in end-to-end data integration operations by testing and monitoring processes to maintain service quality and support global products and projects. Support the day-to-day operations of data products, ensuring SLAs are met and assisting in collaboration with SMEs to fulfill business demands. Support incident management processes, helping to resolve service outages and ensuring the timely resolution of critical issues. Assist in developing and maintaining operational processes to enhance system efficiency and resilience through automation. Collaborate with cross-functional teams like Data Engineering, Analytics, AI/ML, CloudOps, and DataOps to improve data reliability and contribute to data-driven decision-making. Work closely with teams to troubleshoot and resolve issues related to cloud infrastructure and data services, escalating to senior team members as necessary. Support building and maintaining relationships with internal stakeholders to align data integration operations with business objectives. Engage directly with customers, actively listening to their concerns, addressing challenges, and helping set clear expectations. Promote a customer-centric approach by contributing to efforts that enhance the customer experience and empower the team to advocate for customer needs. Assist in incorporating customer feedback and business priorities into operational processes to ensure continuous improvement. Contribute to the work intake and Agile processes for data platform teams, ensuring operational excellence through collaboration and continuous feedback. Support the execution of Agile frameworks, helping drive a culture of adaptability, efficiency, and learning within the team. Help align the team with a shared vision, ensuring a collaborative approach while contributing to a culture of accountability. Mentor junior technical team members, supporting their growth and ensuring adherence to best practices in data integration. Contribute to resource planning by helping assess team capacity and ensuring alignment with business objectives. Remove productivity barriers in an agile environment, assisting the team to shift priorities as needed without compromising quality. Support continuous improvement in data integration processes by helping evaluate and suggest optimizations to enhance system performance. Leverage technical expertise in cloud and computing technologies to support business goals and drive operational success. Stay informed on emerging trends and technologies, helping bring innovative ideas to the team and supporting ongoing improvements in data operations. Qualifications 9+ years of technology work experience in a large-scale, global organization – CPG (Consumer Packaged Goods) industry preferred. 4+ years of experience in Data Integration, Data Operations, and Analytics, supporting and maintaining enterprise data platforms. 4+ years of experience working in cross-functional IT organizations, collaborating with teams such as Data Engineering, CloudOps, DevOps, and Analytics. 1+ years of leadership/management experience supporting technical teams and contributing to operational efficiency initiatives. 4+ years of hands-on experience in monitoring and supporting SAP BW processes for data extraction, transformation, and loading (ETL). Managing Process Chains and Batch Jobs to ensure smooth data load operations and identifying failures for quick resolution. Debugging and troubleshooting data load failures and performance bottlenecks in SAP BW systems. Validating data consistency and integrity between source systems and BW targets. Strong understanding of SAP BW architecture, InfoProviders, DSOs, Cubes, and MultiProviders. Knowledge of SAP BW process chains and event-based triggers to manage and optimize data loads. Exposure to SAP BW on HANA and knowledge of SAP’s modern data platforms. Basic knowledge of integrating SAP BW with other ETL/ELT tools like Informatica IICS, PowerCenter, DDH, and Azure Data Factory. Knowledge of ETL/ELT tools such as Informatica IICS, PowerCenter, Teradata, and Azure Data Factory. Hands-on knowledge of cloud-based data integration platforms such as Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery. Familiarity with API-driven data integration (e.g., REST APIs, Kafka), and supporting cloud-based data pipelines. Basic proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, GitOps, Kubernetes, and Jenkins for automating infrastructure management. Understanding of Site Reliability Engineering (SRE) principles, with a focus on proactive monitoring and process improvements. Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders. Ability to effectively advocate for customer needs and collaborate with teams to ensure alignment between business and technical solutions. Interpersonal skills to help build relationships with stakeholders across both business and IT teams. Customer Obsession: Enthusiastic about ensuring high-quality customer experiences and continuously addressing customer needs. Ownership Mindset: Willingness to take responsibility for issues and drive timely resolutions while maintaining service quality. Ability to support and improve operational efficiency in large-scale, mission-critical systems. Some experience leading or supporting technical teams in a cloud-based environment, ideally within Microsoft Azure. Able to deliver operational services in fast-paced, transformation-driven environments. Proven capability in balancing business and IT priorities, executing solutions that drive mutually beneficial outcomes. Basic experience with Agile methodologies, and an ability to collaborate effectively across virtual teams and different functions. Understanding of master data management (MDM), data standards, and familiarity with data governance and analytics concepts. Openness to learning new technologies, tools, and methodologies to stay current in the rapidly evolving data space. Passion for continuous improvement and keeping up with trends in data integration and cloud technologies.


Support and maintain data pipelines using ETL/ELT tools such as Informatica IICS, PowerCenter, DDH, SAP BW, and Azure Data Factory under the guidance of senior team members. Assist in developing API-driven data integration solutions using REST APIs and Kafka to ensure seamless data movement across platforms. Contribute to the deployment and management of cloud-based data platforms like Azure Data Services, AWS Redshift, and Snowflake, working closely with the team. Help automate data pipelines and participate in implementing DevOps practices using tools like Terraform, GitOps, Kubernetes, and Jenkins. Monitor system reliability using observability tools such as Splunk, Grafana, Prometheus, and other custom monitoring solutions, reporting issues as needed. Assist in end-to-end data integration operations by testing and monitoring processes to maintain service quality and support global products and projects. Support the day-to-day operations of data products, ensuring SLAs are met and assisting in collaboration with SMEs to fulfill business demands. Support incident management processes, helping to resolve service outages and ensuring the timely resolution of critical issues. Assist in developing and maintaining operational processes to enhance system efficiency and resilience through automation. Collaborate with cross-functional teams like Data Engineering, Analytics, AI/ML, CloudOps, and DataOps to improve data reliability and contribute to data-driven decision-making. Work closely with teams to troubleshoot and resolve issues related to cloud infrastructure and data services, escalating to senior team members as necessary. Support building and maintaining relationships with internal stakeholders to align data integration operations with business objectives. Engage directly with customers, actively listening to their concerns, addressing challenges, and helping set clear expectations. Promote a customer-centric approach by contributing to efforts that enhance the customer experience and empower the team to advocate for customer needs. Assist in incorporating customer feedback and business priorities into operational processes to ensure continuous improvement. Contribute to the work intake and Agile processes for data platform teams, ensuring operational excellence through collaboration and continuous feedback. Support the execution of Agile frameworks, helping drive a culture of adaptability, efficiency, and learning within the team. Help align the team with a shared vision, ensuring a collaborative approach while contributing to a culture of accountability. Mentor junior technical team members, supporting their growth and ensuring adherence to best practices in data integration. Contribute to resource planning by helping assess team capacity and ensuring alignment with business objectives. Remove productivity barriers in an agile environment, assisting the team to shift priorities as needed without compromising quality. Support continuous improvement in data integration processes by helping evaluate and suggest optimizations to enhance system performance. Leverage technical expertise in cloud and computing technologies to support business goals and drive operational success. Stay informed on emerging trends and technologies, helping bring innovative ideas to the team and supporting ongoing improvements in data operations.


9+ years of technology work experience in a large-scale, global organization – CPG (Consumer Packaged Goods) industry preferred. 4+ years of experience in Data Integration, Data Operations, and Analytics, supporting and maintaining enterprise data platforms. 4+ years of experience working in cross-functional IT organizations, collaborating with teams such as Data Engineering, CloudOps, DevOps, and Analytics. 1+ years of leadership/management experience supporting technical teams and contributing to operational efficiency initiatives. 4+ years of hands-on experience in monitoring and supporting SAP BW processes for data extraction, transformation, and loading (ETL). Managing Process Chains and Batch Jobs to ensure smooth data load operations and identifying failures for quick resolution. Debugging and troubleshooting data load failures and performance bottlenecks in SAP BW systems. Validating data consistency and integrity between source systems and BW targets. Strong understanding of SAP BW architecture, InfoProviders, DSOs, Cubes, and MultiProviders. Knowledge of SAP BW process chains and event-based triggers to manage and optimize data loads. Exposure to SAP BW on HANA and knowledge of SAP’s modern data platforms. Basic knowledge of integrating SAP BW with other ETL/ELT tools like Informatica IICS, PowerCenter, DDH, and Azure Data Factory. Knowledge of ETL/ELT tools such as Informatica IICS, PowerCenter, Teradata, and Azure Data Factory. Hands-on knowledge of cloud-based data integration platforms such as Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery. Familiarity with API-driven data integration (e.g., REST APIs, Kafka), and supporting cloud-based data pipelines. Basic proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, GitOps, Kubernetes, and Jenkins for automating infrastructure management. Understanding of Site Reliability Engineering (SRE) principles, with a focus on proactive monitoring and process improvements. Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders. Ability to effectively advocate for customer needs and collaborate with teams to ensure alignment between business and technical solutions. Interpersonal skills to help build relationships with stakeholders across both business and IT teams. Customer Obsession: Enthusiastic about ensuring high-quality customer experiences and continuously addressing customer needs. Ownership Mindset: Willingness to take responsibility for issues and drive timely resolutions while maintaining service quality. Ability to support and improve operational efficiency in large-scale, mission-critical systems. Some experience leading or supporting technical teams in a cloud-based environment, ideally within Microsoft Azure. Able to deliver operational services in fast-paced, transformation-driven environments. Proven capability in balancing business and IT priorities, executing solutions that drive mutually beneficial outcomes. Basic experience with Agile methodologies, and an ability to collaborate effectively across virtual teams and different functions. Understanding of master data management (MDM), data standards, and familiarity with data governance and analytics concepts. Openness to learning new technologies, tools, and methodologies to stay current in the rapidly evolving data space. Passion for continuous improvement and keeping up with trends in data integration and cloud technologies.