Sr. Director Data Engineer 525 views

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 Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of their 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 Data Management And Operations 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 the leader of the data engineering team, you will be the key technical expert overseeing the operation of PepsiCo’s data platform. You’ll oversee a 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, machine learning, and product development efforts across the company. You’ll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Key Accountabilities

• Building and managing a team of data engineers who will build a DevOps, “code-first”, approach to data cleansing
• Manage and scale data pipelines from internal and external data sources
• Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers
• Work with the Enterprise Data Architecture team to implement taxonomy mapping schemes into Enterprise Master Data standards
• Architecture experience with Cloud Native, Hybrid and Hyperconverged Data Architectures
• Collaborate with internal clients (data science and product teams) to drive solutions and POC discussions
• Develop and optimize procedures to “productional” Data Science models
• Engineering management experience
• You will plan and execute secure, good practice data management strategies and approaches

Qualifications:

• 12-15 years of overall technology and data experience
• 5+ years leading a cloud-based data engineering or business intelligence team responsible for data integrations and data harmonization
• Currently managing a 30-person or larger team

Skills, Abilities, Knowledge:

• Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management
• Proven track record of overseeing a portfolio of multiple projects
• Strong change manager. Comfortable with change, especially that which arises through company growth. Able to lead a team effectively through times of change.
• Extensive experience with business intelligence tools, designing, reporting, and delivering analytic solutions, data management, and warehousing, and the strategic use of information
• Ability to understand and translate business requirements into data and technical requirements
• The high degree of organization and ability to manage multiple, competing projects and priorities simultaneously
• Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment
• Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs
• Proactively drive impact and engagement while bringing others along
• Ability to lead others without direct authority

Qualifications/Requirements

• 12-15 years of overall technology and data experience
• 5+ years leading a cloud-based data engineering or business intelligence team responsible for data integrations and data harmonization
• Currently managing a 30-person or larger team

Skills, Abilities, Knowledge:

• Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management
• Proven track record of overseeing a portfolio of multiple projects
• Strong change manager. Comfortable with change, especially that which arises through company growth. Able to lead a team effectively through times of change
• Extensive experience with business intelligence tools, designing, reporting, and delivering analytic solutions, data management, and warehousing, and the strategic use of information
• Ability to understand and translate business requirements into data and technical requirements
• The high degree of organization and ability to manage multiple, competing projects and priorities simultaneously
• Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment
• Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs
• Proactively drive impact and engagement while bringing others along
• Ability to lead others without direct authority

Relocation Eligible: Eligible for Standard Relocation
Job Type: Regular

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

Their 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.

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