Overview

Location: Must live 90 miles from PepsiCo office location in Plano, TX or Puchase, NY. Role is HYBRID with expectation of at least 2 days in office per week.

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We operate with start-up mindset - agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways 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.

• 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 from over 30 countries
• Have a stake in D&I strategy and Bring your whole self to work

• 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 Technical Data Product Managers to ensure expectations from D+A are managed and seek to eliminate disconnect on what can be addressed.

• The expected compensation range for this position is between $135,000 - $227,500.
• Location, confirmed job-related skills and experience 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 15% of annual salary paid out annually.
• 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.

• 8+ years of Product Management, Data Analytics, Data Science or Data Management and Operations in business facing functions.
• 3+ 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.