CTO Data Transformation Programs Director

Overview

As the Director of Data Transformations, you will lead PepsiCo’s enterprise-wide modernization initiatives focused on transforming the legacy data landscape into a unified, cloud-native ecosystem. This strategic role demands strong techno-functional leadership to drive enterprise-scale data migrations, ensure operational excellence, and enforce governance across the cloud data stack. You will lead cross-functional teams, build scalable frameworks, and collaborate closely with business and technology stakeholders to modernize analytics, AI/ML, and business intelligence capabilities

Responsibilities

• Lead the modernization and migration strategy for transforming legacy data platforms (e.g., Teradata) to modern cloud-native architectures (e.g., Azure Data Lake, Databricks).
• Drive large-scale data migration programs, ensuring minimal disruption to business operations, and delivering measurable outcomes tied to agility, cost savings, and innovation.
• Implement best practices for system Migrations, security and identifying the best cost-effective migration strategies t.
• Drive increased adoption of data, and business intelligence solution to empower business operations.
• Collaborate with internal clients (data science and product teams) to drive solutioning.
• Lead and scale high-performing, cross-functional engineering teams, fostering a culture of innovation, accountability, and continuous improvement.
• Manage end-to-end RFP (Request for Proposal) processes including requirements definition, vendor evaluations, scoring models, and final selection for platform tools, services, and migration vendors.
• Manage relationships with multiple technology vendors and system integrators, ensuring contract compliance, service-level adherence, and alignment with strategic transformation goals.
• Serve as an executive point of contact for cloud modernization efforts, providing leadership updates, risk mitigation plans, and ROI assessments.
• Define and enforce SLAs for Transformations and operational processes.
• Support large-scale migrations with cost effective solutions.
• Document learnings, best practices, and knowledge transfer strategies.
• Develop reusable packages or libraries to streamline platform engineering efforts.

Compensation and Benefits:

• The expected compensation range for this position is between $125,900 - $249,900.
• 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 25% of annual salary paid out annually and an additional target payout of 10% of annual salary is paid out over 3 years following the end of the performance period.
• Long term incentive equity may be awarded based on eligibility and performance.
• 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

• 18+ years of experience in Data engineering, Solution architecture,
• 10+ years of experience in managing large scale Enterprise data warehouse solutions.
• Expertise in Data Landscape modernization by migrating legacy Data warehouses to the Modern Lake Houses, automation, and performance tuning.
• Experience with building large-scale, distributed Enterprise Data Warehouses with high availability and resiliency.
• Proven ability to manage multiple engineering teams and collaborate with cross-functional stakeholders.
• Hands-on experience with ETL tools such as ADF, Databricks, Informatica, IICS .
• Strong knowledge of data governance, and compliance frameworks.
• Experience in implementing CI/CD pipelines and DevOps/DataOps best practices.
• Experience working with monitoring and logging tools such as Prometheus, Grafana, or Azure Monitor.
• Familiarity with cost management tools and techniques for Project Planing.
• Understanding of metadata management, data lineage, and platform governance.
• Exposure to AI-driven analytics and automation tools is a plus.

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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 l