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Build and execute seamlessly against data roadmaps for each Data & AI initiative under Global Functions
Capture requirements and translate for technical teams – ensuring they understand the problem the Data & AI product is solving
Lead cross functional teams (PODs) to deliver via agile artifacts and ceremonies
Ensure data, analytics and AI outputs meet requirements
Be the voice of Data, Analytics and AI to leadership and business stakeholders
Drive adoption of data solutions in business and continue to ensure that data and analytics meet the needs of the business use cases
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
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
Participate in ongoing relationships with Senior PepsiCo leadership, data partnerships team, as well as technical and business teams
Manage data product life cycle from ideation, planning, execution, and maintenance
Foster collaborative team culture within PODs
Requirements:
Bachelor's degree (US or Foreign Equivalent) in Information Technology, Computer Science, or related field
Twelve (12) years of experience in job offered or related role
Eleven (11) years’ experience in Data Product Management in business facing functions which includes strong expertise in agile and product lifecycle discipline
Ten (10) years’ experience in: SaaS Applications
Agile Project Management
Leading/building advanced analytics and big data solutions or building enterprise SaaS, visualization techniques, and Data & AI Platforms
and managing daily technical and design direction
Eight (8) years’ experience in: Business Intelligence Tools
Building and launching products from ideation through launch and revision
and Agile methodologies, experience working with multiple scrum teams on simultaneous builds
Five (5) years’ experience in digitally enabled process improvement using next generation technologies, including AI, ML, and Conversational AI
Three (3) years’ experience in UI/UX standards, trends, and tools