Data Product Manager

Overview

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

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 Pepsi Co’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 Pepsi Co’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 Dev Ops. 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.

Go to Market and Adoption

• Ensure data, analytics and Ai outputs meet requirements.
• Translate the analytics solutions back to the business to ensure they are actionable and business can drive value from those insights.
• Collaborate with business & transformation teams to embed analytics solutions and overcome implementation difficulties.
• Effectively manage key stakeholders at all levels within the organization.
• Foster collaborative team culture within PODs

Compensation and Benefits:

• The expected compensation range for this position is between $110,700 - $185,250.
• Location, confirmed job-related skills, experience, and education 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 12% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, Pepsi Co 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.

• Bachelor’s degree required
• 8 years of Data Product Management in business facing functions which includes 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…