CTO Director

Overview Lead design and delivery of end-to-end data analytics solutions from platform perspective to ensure technology is scalable to meet business demand. Conduct technical POCs on data analytics and AI/ML technologies. Work with data engineering and visualization team within the Data, Analytics & Ai (D&Ai) team to ensure platform architecture patterns are evolved & managed. It is crucial for enhancing data-driven decision-making, improving operational efficiency, and supporting regulatory compliance. Responsibilities Define technical solutions and ensures alignment and provides technical leadership for the evolving architectural capabilities of the entire Data & Analytics platform Work closely with the enterprise architects and System / Data engineers to ensure that individual program and product strategies align with business and technical objectives Establish incremental implementation strategy and technical foundation for the architectural runway; abstraction and generalization to preserve architectural flexibility Ensure that common technology, design practices, and infrastructure are used when applicable; and facilitate the reuse of code, components, and proven patterns Develop physical architecture patterns to support large scale Data & Analytics solutions Work closely with Operations team to size, scale and tune existing and new architecture Compnesation & 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 12+ years of experience in Data Analytics and Big Data solutions, experienced Solutions Architect well versed in designing & modernizing large scale Data, Analytics & Ai solutions 5+ years of Data & Analytics solution architecture experience focused on new technology and tools 5+ years of MDM and data governance management experience (preferred) 10+ years of Azure technologies, extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking Good Communication skills Bachelor’s degree in computer science, Computer Engineering, Management Information Systems, Data Science, Cybersecurity, or related field. 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


Define technical solutions and ensures alignment and provides technical leadership for the evolving architectural capabilities of the entire Data & Analytics platform Work closely with the enterprise architects and System / Data engineers to ensure that individual program and product strategies align with business and technical objectives Establish incremental implementation strategy and technical foundation for the architectural runway; abstraction and generalization to preserve architectural flexibility Ensure that common technology, design practices, and infrastructure are used when applicable; and facilitate the reuse of code, components, and proven patterns Develop physical architecture patterns to support large scale Data & Analytics solutions Work closely with Operations team to size, scale and tune existing and new architecture Compnesation & 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.


12+ years of experience in Data Analytics and Big Data solutions, experienced Solutions Architect well versed in designing & modernizing large scale Data, Analytics & Ai solutions 5+ years of Data & Analytics solution architecture experience focused on new technology and tools 5+ years of MDM and data governance management experience (preferred) 10+ years of Azure technologies, extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking Good Communication skills Bachelor’s degree in computer science, Computer Engineering, Management Information Systems, Data Science, Cybersecurity, or related field.