You will join our Data Product Managers team which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists & data engineers across the company to have rapid access to the data they need for decision-making and innovation.

• You will be responsible to deliver three critical dimensions:

  • End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, allocation
  • Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation
  • Drive coordination between Domains, Products and Projects to help drive re-use and reduce redundancy/duplication in the D+A and broader PepsiCo portfolio.
• Build data roadmaps to meet hydration targets and support timely delivery for global data initiatives and programs.
• Manage delivery against key technical delivery milestones.
• Collaboratively manage reporting that measures D+A’s execution against key hydration milestones
• Lead x-chapter Pod resources towards shared goal
• Participate in Planning to coordinate between domain goals and program/product milestones.
• Work with multiple stakeholders to author Epic and feature definitions and guide user stories to drive delivery.
• Collaboratively design and document the data product artifacts required by the team.
• Ensure technical documentation is readily available for data products produced and that value is communicated to key stakeholders.
• Ensure cataloguing of data in the Data Foundation is accessible to business stakeholders.
• Help track benefits of these insights to leadership to drive acceptance.
• Work with program Data Product Managers to ensure expectations from D+A are managed and seek to eliminate disconnect on what can be addressed.

• 9+ years of Product Management, Data Analytics, Data Science or Data Management and Operations in business facing functions.
• 4+ years of experience leading/building advanced analytics and big data solutions, large scale data modeling, 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.
• Familiarity with principles and tools for data governance and stewardship
• History of working in agile environments and successful estimation and delivery of complex products
• Effective 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 complex problems across teams.
• Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels.