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Director, Data & Analytics Domain Architect

PepsiCo

Chicago (IL)

On-site

USD 125,000 - 250,000

Full time

30+ days ago

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Job summary

A leading company in the food and beverage sector seeks a Director, Data & Analytics Domain Architect to drive strategic data architecture and analytics solutions. The role involves overseeing data governance, leading technology evaluations, and collaborating with cross-functional teams to innovate and enhance data capabilities. Ideal candidates will possess extensive experience in data engineering and architecture, with a strong background in consulting for large enterprises.

Benefits

Medical, Dental, Vision
Paid Time Off
Employee Assistance Program
Defined Contribution Retirement Plan

Qualifications

  • 10+ years of Data Lake / Warehouse hands-on Data Engineering Delivery.
  • Consulting experience building data, analytics and AI strategies for clients strongly preferred.

Responsibilities

  • Define Data & Analytics north star architecture and tech strategy.
  • Lead the Data Architecture Community of Practice.
  • Perform market research to stay ahead of trends in the Data space.

Skills

Data Engineering
Data Architecture
Communication
Collaboration

Education

Bachelor’s Degree
Master’s Degree

Tools

Microsoft Azure
Databricks
Snowflake
PowerBI
Tableau

Job description

Director, Data & Analytics Domain Architect

Join to apply for the Director, Data & Analytics Domain Architect role at PepsiCo

Director, Data & Analytics Domain Architect

Join to apply for the Director, Data & Analytics Domain Architect role at PepsiCo

Overview

With data deeply embedded in our DNA, PepsiCo Data, Analytics, and AI (D&AI) transforms data into consumer delight. We build and organize business-ready data and AI allowing PepsiCo’s leaders to solve problems with the highest degree of confidence. Our data, analytics, AI products and services ensure our digital transformation is delivered at scale enabling new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

Overview

With data deeply embedded in our DNA, PepsiCo Data, Analytics, and AI (D&AI) transforms data into consumer delight. We build and organize business-ready data and AI allowing PepsiCo’s leaders to solve problems with the highest degree of confidence. Our data, analytics, AI products and services ensure our digital transformation is delivered at scale enabling new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

As part of the Global Data & AI Architecture team, Architects are responsible for making PepsiCo’s strategic vision real by defining the right architecture for conceiving, initiating, and shepherding high-priority data, analytics, and AI enabling capabilities.

The successful candidate will have a deep knowledge of data and analytics, know how to simplify multi-faceted concepts into succinct messaging that sets and drives strategic direction, and have a proven ability to work with others on complex projects

Responsibilities

  • Defines Data & Analytics north star architecture (Data & Analytics capabilities and how they relate) and tech strategy (leads tech evaluation and selection, including POCs) and secures alignment across the following stakeholders: Global Data Governance, Data Engineering, Data Platform, Enterprise Solutions, and Digital Products and Applications team.
  • Continues to refine data architecture principles and design patterns
  • Perform regular and thorough market research, both with our existing product vendors, 3rd party research agencies like Gartner, and prospective vendors to stay one step ahead of the latest trends in the Data space. Evolve technology strategy and north star architecture accordingly.
  • Lead the Data Architecture Community of Practice, providing coaching and guidance to D&AI solution architects, Enterprise Architects, and program teams on the use of Data capabilities, principles, and patterns along with documenting and presenting data architecture exceptions.
  • Govern D&AI products solution architectures to ensure alignment with Data architecture standards and minimize tech debt, maximize reuse and speed to market

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

Experience:

  • 10+ years of Data Lake / Warehouse hands-on Data Engineering Delivery
  • Bachelor’s Degree required; master’s degree preferred
  • Consulting experience building data, analytics and AI strategies for clients strongly preferred
  • Experience working in large, multinational, enterprises
  • Experience with large enterprise transformations
  • Experience in CPG industry preferred
  • Experience driving technology evaluations across a wide range of vendors using a formal evaluation process.

Functional Skills:

  • Expert knowledge of key Data platforms such as Microsoft Azure (Fabric), Databricks and Snowflake.
  • Expert knowledge in Data strategies and in delivering Data solutions for complex large enterprises
  • Deep understanding of data architecture principles and industry best practices.
  • Expert knowledge of key Data & Analytics platforms/technologies such as Azure Data Lake, Azure Data Factory, Informatica Cloud (Data Quality, Master Data Management), DataBricks, Azure ML, PowerBI, Tableau, Synapse.
  • Exposure and understanding of existing digital and emerging technologies (AI including Gen AI and how it can improve Data & Analytics, Data Integration)
  • Experience with data techniques and best practices on architecting data solutions for AI applications.
  • Systems thinking, understanding of relationships between various systems
  • Thorough understanding of the architecture guiding principles / modern architecture and leveraging them to design forward-looking solutions.
  • Ability to demonstrate a mindset for the Conceptual, Logical, Physical levels of architecture and apply them effectively.
  • Familiarity with information management practices, system development life cycle management, IT services management, infrastructure and operations, and EA frameworks
  • Ability to influence senior stakeholders on following technology strategy and solution design for key initiatives to align with standards and architecture guiding principles

Differentiating Competencies Required:

  • Demonstrate interest in continuous self-learning and willingness to apply outside in thinking.
  • Constantly adaptable to an ever-changing set of priorities.
  • Master at the art of influencing to drive alignment at all levels of the organization, from development teams on usage of design patterns to Sr. VPs on tech strategy and solution rationalization.
  • Excellent collaboration skills, also at all levels of the organization.
  • Certification in data management or architecture.
  • Executive level written, verbal, communication and presentation skills.
  • Ability to turn complex things and diverse data into meaningful insights/conclusions and executive messaging
  • Apply proper level of thoroughness and due diligence to architecture recommendations
  • Familiarity with data science concepts and techniques is a plus.

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

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Manufacturing and Food and Beverage Services

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