Overview

PEPSICO DATA & ANALYTICS Ai 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 that allows 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.

POSITION OVERVIEW:

As a Data Product Manager at PepsiCo, you will play a pivotal role in driving the strategic direction and technical execution of our consumer data platform (CDP). You will work closely with cross-functional teams to define product requirements, prioritize development efforts, and ensure the successful delivery of data-driven solutions that meet the needs of our business and stakeholders.

• Build comprehensive data requirements and roadmaps
• Manage delivery against key technical delivery milestones
• Collaboratively manage reporting that measures D+A's execution against key programs
• Define and drive business adoption of "acceptance criteria"
• Collaborate with multiple technical and business teams to synchronize priorities and delivery roadmaps

• Work with engineering and data science teams to write user stories in Azure DevOps
• Translate the analytics solutions back to the business to ensure its actionable and business can drive value from those insights
• Translate priorities across multiple workstreams within a strategic domain roadmap in collaboration with engineers and data stewards,
• Ensure the technical teams are clear on the "why" from the perspective of the Business customer

• Work with multiple stakeholders to author technical data requirements for a technical audience (+ build templates of these set of technical requirements)
• Collaboratively design and document the data product artifacts required by the project

• Support presentation of output to Business Customer
• Help track benefits of these insights to leadership to drive acceptance
• Collaborates with Practices for embedding analytics solutions in the business and overcoming implementation difficulties

• Ensure Business customer 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 $102,800 - $172,100
• Location, confirmed job-related skills and experience will be considered in setting actual starting salary
• 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, 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

• Bachelor's degree
• 4+ years of Product Management in business facing functions which includes strong expertise in agile and product lifecycle discipline. Data product management experience a huge plus
• 5+ years' experience working with data
• Experience with cloud-based technologies and platforms, such as AWS, Azure, or Google Cloud Platform
• Proficiency in data analysis and visualization tools, such as SQL, Python, R, Tableau, or Power BI
• Strong analytical and critical thinking skills, with a purposeful mindset and a commitment to driving continuous improvement
• Strong understanding of consumer data management concepts, including data ingestion, integration, storage, and governance
• Demonstrated leadership abilities, with the ability to influence and motivate teams to achieve common goals
• Persuasive 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
• Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels