Overview:
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.
Responsibilities:
Data Product Management is part of the Global Data, Analytics & Ai (D&AI) team. We are tasked with articulation of the vision and leading the implementation of PepsiCo’s next generation global Data infrastructure. The scope encompasses the full Strategy & Transformation agenda, leading all Data Product roadmap initiatives.

We are looking for a Data Product Manager to lead the delivery of data and analytics for PepsiCo’s Consumer and Commercial data products. This individual delivers these critical dimensions:

• Building and executing seamlessly against data roadmaps for each data initiative.
• Capturing business requirements, data requirements and translating for technical teams
• Leading cross functional teams (PODs) to deliver, via agile artifacts and ceremonies.
• Being the voice of Data, Analytics and Ai to leadership and business stakeholders.
• Working with technical teams to meet their needs, and to provide guidance and leadership on delivery.
• Drive adoption of data solutions in business and continue to ensure that data and analytics meet the needs of the business use cases.

DEMAND AND DESIGN ACCOUNTABILITY

• Define the product/data roadmap and capture comprehensive requirements.
• Design the solution with technical teams and capture the nuances to ensure E2E optimization and efficiency.
• Author technical data requirements and documents required throughout the delivery life cycle.

DELIVERY ACCOUNTABILITY

• Manage delivery against key technical delivery milestones.
• Ensure the technical teams are clear on the “why” from the perspective of the Business customer.
• Work with technical teams (Data Science, Data Engineering, Stewardship, Governance, BI/Visualization) to write and steward user stories and requirements in Azure DevOps. Ensure these teams are spending optimal time at work in their specialties.
• Manage the output and development of other Data Product Managers
• Manage business customer expectations and seek to eliminate disconnect.
• Collaboratively manage reporting that measures D&Ai execution against key programs.