Overview Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations? Data Product Management (DPM) pillar has 3 critical dimensions: • End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, allocation • Translation between Business and Technical domains • Horizontal visibility across Products and Projects to help drive re-use and reduce redundancy/duplication in the D+A and broader PEP portfolio Responsibilities Your day to day with us: Delivery & Accountability – Manage technical delivery milestones and feasibility assessments with data engineering. Requirement Gathering – Compile and document functional requirements from business partners and stakeholders. Business Adoption – Define and drive acceptance criteria for analytics solutions to ensure business value. Translation & Communication – Bridge the gap between business needs and technical teams, ensuring clarity on both sides. User Story & Documentation – Write and manage user stories and technical requirements in Azure DevOps. Stakeholder Alignment – Ensure business teams understand the value of delivered data solutions. Technical Documentation – Develop and maintain technical data requirements and artifacts. Presentation & Adoption – Present data insights to business teams and track their impact. Collaboration & Implementation – Work with cross-functional teams to embed analytics solutions and overcome challenges. Expectation Management – Align business expectations with D+A capabilities to avoid disconnects. Qualifications What you will need to succeed: • 7-10 years of Product Management, Data Analytics, Science and Management in business facing functions • 3+ years of experience leading/building advanced analytics and big data solutions or building enterprise SaaS • Experience working in a data-centric business environment • Excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths realizing that value • Deep understanding of fundamental machine-learning principles (for instance, training versus predicting, performance measurement, and overfit), as well as techniques such as random forests or neural networks • Familiarity with principles and tools for data governance and stewardship • Strong communication skills and an ability to break down complex information into relevant and digestible points for both inside D+A and externally to the business • Excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure • Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning • Demonstrated ability to effectively communicate with all levels of the organization and solve highly complex problems across teams • Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels What makes us different? Hybrid work model: combination of remote and collaborative office experience to enable innovation Entrepreneurial environment in leading international company Professional growth possibilities & learning opportunities Variety of benefits to support your physical, emotional and financial wellbeing Volunteering opportunities to help external communities Diverse team with more than 30% of female representation & over 30 nationalities Have a stake in D&I strategy and bring your whole self to work About PepsiCo We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world. PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. So, if you’re ready to be a part of a playground for those who think big, we’d love to chat. *We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability