Sr. Manager, D&AI Data Integration Platforms Operations

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. Compensation and Benefits The expected compensation range for this position is between $118,700 - $198,800. 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 15% 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. Qualifications 12+ years of technology work experience in a large-scale, global organization – CPG (Consumer Packaged Goods) industry preferred. 8+ years of experience in Data Integration, Data Operations, and Analytics. 8+ years of experience in working within cross-functional IT organizations, collaborating with multiple teams such as Data Engineering, CloudOps, and DevOps. 5+ years of leadership/management experience in managing high-performing technical teams and driving operational excellence. Strong expertise in ETL/EAI tools such as Informatica IICS, PowerCenter, DDH, SAP BW, ECG, MDT, Alteryx, AbInitio,Teradata, and Azure Data Factory. Hands-on knowledge of cloud-based data integration platforms like Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery. Experience in API-driven data integration (e.g., REST APIs and Kafka) and cloud infrastructure technologies. Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, GitOps, Kubernetes, and Jenkins. Strong understanding of Site Reliability Engineering (SRE) practices, including automated remediation, improved scalability, and proactive monitoring. Excellent communication skills with the ability to explain highly technical concepts to varied audiences, including senior business leaders. Proven ability to advocate for customer needs effectively, prioritize feedback, and drive alignment across different teams. Strong interpersonal skills with the ability to build trust and foster lasting relationships with key stakeholders across business and IT teams. Customer Obsession: Passion for delivering the right customer experience by anticipating, addressing, and exceeding customer expectations. Ownership Mindset: Ability to take ownership and drive results by ensuring the timely resolution of critical issues. Track record of success in driving Operational Excellence in large-scale, complex, mission-critical solutions. Demonstrated experience in leading technical support teams for mission-critical systems, ideally in Microsoft Azure environments. Experience in delivering large-scale operational services in a dynamic, fast-paced, and transformation-driven environment. Proven ability to balance business and IT priorities by identifying mutually beneficial paths forward in complex situations. Experience in Agile methodologies and driving consensus across virtual teams and multiple functions. Ability to align teams to a shared vision, develop a strategic roadmap, and ensure execution while realizing desired business benefits. Solid understanding of master data management (MDM), data standards, analytics, and concepts related to digital transformation. Strong knowledge of data acquisition, data cataloging, data governance, and tools used in data management. Openness to learn new skills and technologies in a fast-paced environment, with the ability to adapt quickly to change. Passion for continuous improvement and willingness to stay ahead of industry trends in data integration and cloud technologies. EEO Statement 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.


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. Compensation and Benefits The expected compensation range for this position is between $118,700 - $198,800. 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 15% 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.


12+ years of technology work experience in a large-scale, global organization – CPG (Consumer Packaged Goods) industry preferred. 8+ years of experience in Data Integration, Data Operations, and Analytics. 8+ years of experience in working within cross-functional IT organizations, collaborating with multiple teams such as Data Engineering, CloudOps, and DevOps. 5+ years of leadership/management experience in managing high-performing technical teams and driving operational excellence. Strong expertise in ETL/EAI tools such as Informatica IICS, PowerCenter, DDH, SAP BW, ECG, MDT, Alteryx, AbInitio,Teradata, and Azure Data Factory. Hands-on knowledge of cloud-based data integration platforms like Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery. Experience in API-driven data integration (e.g., REST APIs and Kafka) and cloud infrastructure technologies. Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, GitOps, Kubernetes, and Jenkins. Strong understanding of Site Reliability Engineering (SRE) practices, including automated remediation, improved scalability, and proactive monitoring. Excellent communication skills with the ability to explain highly technical concepts to varied audiences, including senior business leaders. Proven ability to advocate for customer needs effectively, prioritize feedback, and drive alignment across different teams. Strong interpersonal skills with the ability to build trust and foster lasting relationships with key stakeholders across business and IT teams. Customer Obsession: Passion for delivering the right customer experience by anticipating, addressing, and exceeding customer expectations. Ownership Mindset: Ability to take ownership and drive results by ensuring the timely resolution of critical issues. Track record of success in driving Operational Excellence in large-scale, complex, mission-critical solutions. Demonstrated experience in leading technical support teams for mission-critical systems, ideally in Microsoft Azure environments. Experience in delivering large-scale operational services in a dynamic, fast-paced, and transformation-driven environment. Proven ability to balance business and IT priorities by identifying mutually beneficial paths forward in complex situations. Experience in Agile methodologies and driving consensus across virtual teams and multiple functions. Ability to align teams to a shared vision, develop a strategic roadmap, and ensure execution while realizing desired business benefits. Solid understanding of master data management (MDM), data standards, analytics, and concepts related to digital transformation. Strong knowledge of data acquisition, data cataloging, data governance, and tools used in data management. Openness to learn new skills and technologies in a fast-paced environment, with the ability to adapt quickly to change. Passion for continuous improvement and willingness to stay ahead of industry trends in data integration and cloud technologies.