Job Description

Location: Must be located within 90 miles of Plano TX, Purchase NY, or Chicago IL. This is a Hybrid Position: Targeting 3 days in office per week

Data & Analytics at Pepsico:

PepsiCo operates in an environment undergoing immense and rapid change.  Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT.  The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics and new product development.  

PepsiCo’s Enterprise Data Operations (EDO) team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

What PepsiCo Enterprise Data Operations (EDO) does:

• Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
• Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset
• Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders
• Increase awareness about available data and democratize access to it across the company

As a Senior data engineering manager, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. This role will lead a group of Senior Engineers working on Customer domain data.

• Assess and recommend architecture frameworks, design and implement high-performance solutions to support data and analytical products.
• Act as a subject matter expert across different digital projects.
• Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
• Execute on a technical solution with minimal guidance, creating solution prototypes, providing top quality design, and create documentation for support and understanding of code created for each initiative
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
• Strong technical background in data science, business intelligence or data engineering and ETL best practices.
• Define and manage SLA’s for data products and processes running in production.
• Continue to improve code quality by tracking, reducing, and avoiding technical debt
• Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfill modeling needs.
• Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.
• Implement Azure products and services, including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as conventional data warehouse tools, to create data migration and data engineering solutions.

Qualifications

Skills, Abilities, Knowledge

Compensation and Benefits:

EEO Statement

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 availableEEO is the Law&EEO is the Law Supplementdocuments. ViewPepsiCo EEO Policy. 

Please view ourPay Transparency Statement