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About the Role

PepsiCo Data & Analytics (D&Ai) transforms data into consumer delight by building and organizing business-ready data and analytics. This role is part of the Global Data, Analytics & Ai (D&AI) team, responsible for articulating the vision and leading the implementation of PepsiCo’s next-generation global data infrastructure. The Data Product Manager will lead the delivery of data and analytics for PepsiCo’s Consumer and Commercial data products, driving adoption and ensuring data solutions meet business needs.

Responsibilities

Build and execute data roadmaps for each data initiative.
Capture business and data requirements and translate them for technical teams.
Lead cross-functional teams (PODs) using agile artifacts and ceremonies.
Serve as the voice of Data, Analytics and AI to leadership and business stakeholders.
Collaborate with technical teams to meet their needs and provide guidance on delivery.
Drive adoption of data solutions in the business.
Ensure data and analytics meet the needs of business use cases.
Define the product/data roadmap and capture comprehensive requirements.
Design solutions with technical teams, ensuring E2E optimization and efficiency.
Author technical data requirements and documents throughout the delivery lifecycle.
Manage delivery against key technical delivery milestones.
Ensure technical teams understand the business customer's perspective.
Work with technical teams (Data Science, Data Engineering, Stewardship, Governance, BI/Visualization) to write and steward user stories and requirements in Azure DevOps.
Manage the output and development of other Data Product Managers.
Manage business customer expectations and eliminate disconnects.
Collaboratively manage reporting that measures D&Ai execution against key programs.
Ensure data, analytics, and AI outputs meet requirements.
Translate analytics solutions back to the business to ensure they are actionable.
Collaborate with business & transformation teams to embed analytics solutions and overcome implementation difficulties.
Effectively manage key stakeholders at all levels within the organization.
Foster a collaborative team culture within PODs.

Requirements

Bachelor’s degree required.
8 years of Data Product Management in business-facing functions with strong expertise in agile and product lifecycle discipline.
3+ years of experience leading/building advanced analytics and big data solutions or building enterprise SaaS.
Deep understanding of fundamental machine-learning principles.
Familiarity with machine-learning technologies and tools, such as big data stack, Python, and visualization techniques.
Knowledge of data architecture, modeling, and engineering concepts.
Familiarity with Azure tech stack is a huge plus.
Familiarity with principles and tools for data governance and stewardship.
Persuasive communication skills and ability to break down complex information for technical teams and the business.
Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering, and machine learning.
Highly initiative-taking with the ability to identify and pursue growth and opportunities.
Seasoned C-Suite presenter.
Excellent leadership skills with a team-player attitude to drive end-to-end implementation of use cases under time pressure.
Strong people management skills with the ability to develop teams and cultivate talent.

Skills

Agile
Product Lifecycle Discipline
Advanced Analytics
Big Data Solutions
Enterprise SaaS
Machine Learning Principles
Big Data Stack
Python
Data Visualization
Data Architecture
Data Modeling
Data Engineering
Azure Tech Stack
Data Governance
Data Stewardship
Communication Skills
Data Science
Feature Engineering
Leadership Skills
People Management

Location

Remote

Work Type

Full-time

Experience Level

8 years of Data Product Management
3+ years of experience leading/building advanced analytics and big data solutions or building enterprise SaaS

Education Level

Bachelor's degree

Salary/Compensations

$110,700 - $185,250
Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually.

Benefits

Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
Comprehensive benefits package: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

About the Company

With data deeply embedded in our DNA, PepsiCo Data & Analytics (D&Ai) transforms data into consumer delight.
We build and organize business-ready data and analytics that allow PepsiCo’s leaders to solve their problems with the highest degree of confidence.
Our platform of data products and services ensures data is activated at scale.
This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

Equal Opportunity

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 age, 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.