Overview:

• We are seeking a Senior Manager – Data IntegrationOps to support and oversee data integration and operations (IntegrationOps) programs for our growing data organization. In this role, you will play a key role in driving scalable and automated data integration strategies, streamlining data movement across systems, and ensuring high reliability, efficiency, and security of enterprise-wide data exchange processes. This position requires hands-on expertise in enterprise data integration, ETL/ELT automation, cloud-based data platforms, API-driven integrations, and operational excellence.
• Manage and oversee data IntegrationOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy.
• Implement real-time monitoring, automated alerting, and self-healing capabilities within Data Integration platforms to enhance uptime and performance.
• Contribute to the development and enforcement of data integration governance models, operational frameworks, and execution roadmaps for seamless data integration delivery.
• Ensure standardization and automation of data integration workflows, report generation, and dashboard refreshes.
• Collaborate with cross-functional teams to optimize data movement across cloud and on-prem platforms, ensuring data availability and accuracy.
• Support Data & Analytics technology transformations by contributing to full sustainment capabilities, including data platform management and proactive issue identification with self-healing mechanisms.
• Assist in driving a culture shift towards a data-first organization, aligning with PepsiCo’s Data & Analytics program and global data engineering efforts across sectors.
• Promote operational excellence through continuous improvement of data integration processes, enhancing reliability, scalability, and efficiency.

Responsibilities:

• Proficiency in ETL/ELT tools such as Informatica IICS, PowerCenter, DDH, SAP BW, ECG, MDT, Teradata, and Azure Data Factory.
• Strong understanding of API-driven data integration techniques, including REST APIs and Kafka.
• Hands-on experience with cloud-based data integration platforms like Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery.
• Experience in automating data pipelines and implementing DevOps for integration using Infrastructure-as-Code tools such as Terraform, GitOps, Kubernetes, and Jenkins.
• Familiarity with data observability tools such as Splunk, Grafana, Prometheus, and custom monitoring solutions.
• Proficiency in SQL, Python, Scala, Spark, or other data transformation technologies.
• Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to enable data-driven decision-making and improve data reliability.
• Support end-to-end data integration operations and sustainment by testing and monitoring processes to ensure high-quality service for global products and projects across sectors.
• Manage day-to-day operations of data products, ensuring adherence to service-level agreements (SLAs) and engaging with SMEs to meet business demands effectively.
• Actively contribute to the work intake and Agile management process for data platform teams, driving strategy and excellence to meet PepsiCo’s business goals.
• Build and maintain strong relationships with senior stakeholders, advocating for seamless data integration and operational excellence.
• Develop and implement automation-based operational processes to enhance system efficiency and resilience.
• Establish and maintain incident and crisis management processes to ensure rapid mitigation and resolution of service outages.
• Engage directly with customers, demonstrating active listening, problem-solving, and transparency to address challenges and set appropriate expectations.
• Promote a customer-obsessed culture by empowering team members to advocate for customer needs and continuously enhance the customer experience.
• Collaborate with cross-functional teams to identify and resolve issues related to cloud infrastructure and data services.
• Build and nurture a diverse, high-performing team capable of meeting current and future business objectives.
• Foster an agile environment by removing barriers to productivity and enabling the team to shift priorities quickly without compromising quality.
• Develop and maintain the organizational structure, resource plans, and culture necessary to support business objectives and customer deliverables.
• Leverage technical expertise in cloud and high-performance computing to gain a deep understanding of business needs, build trust, and drive operational success.

• Proficiency in ETL/ELT tools such as Informatica IICS, PowerCenter, DDH, SAP BW, ECG, MDT, Teradata, and Azure Data Factory.
• Strong understanding of API-driven data integration techniques, including REST APIs and Kafka.
• Hands-on experience with cloud-based data integration platforms like Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery.
• Experience in automating data pipelines and implementing DevOps for integration using Infrastructure-as-Code tools such as Terraform, GitOps, Kubernetes, and Jenkins.
• Familiarity with data observability tools such as Splunk, Grafana, Prometheus, and custom monitoring solutions.
• Proficiency in SQL, Python, Scala, Spark, or other data transformation technologies.
• Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to enable data-driven decision-making and improve data reliability.
• Support end-to-end data integration operations and sustainment by testing and monitoring processes to ensure high-quality service for global products and projects across sectors.
• Manage day-to-day operations of data products, ensuring adherence to service-level agreements (SLAs) and engaging with SMEs to meet business demands effectively.
• Actively contribute to the work intake and Agile management process for data platform teams, driving strategy and excellence to meet PepsiCo’s business goals.
• Build and maintain strong relationships with senior stakeholders, advocating for seamless data integration and operational excellence.
• Develop and implement automation-based operational processes to enhance system efficiency and resilience.
• Establish and maintain incident and crisis management processes to ensure rapid mitigation and resolution of service outages.
• Engage directly with customers, demonstrating active listening, problem-solving, and transparency to address challenges and set appropriate expectations.
• Promote a customer-obsessed culture by empowering team members to advocate for customer needs and continuously enhance the customer experience.
• Collaborate with cross-functional teams to identify and resolve issues related to cloud infrastructure and data services.
• Build and nurture a diverse, high-performing team capable of meeting current and future business objectives.
• Foster an agile environment by removing barriers to productivity and enabling the team to shift priorities quickly without compromising quality.
• Develop and maintain the organizational structure, resource plans, and culture necessary to support business objectives and customer deliverables.
• Leverage technical expertise in cloud and high-performance computing to gain a deep understanding of business needs, build trust, and drive operational success