Data Product Manager, Mondelēz International

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts
• WHAT YOU WILL BRING : Experience bridging business and technical teams in data product delivery; passion for data governance and quality; strong stakeholder management across various stakeholders
• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• 5+ years in data product management, data analytics, or data engineering roles
• Strong understanding of data lifecycle management (ingestion through retirement)
• Experience with cloud data platforms (GCP/BigQuery preferred)
• Hands-on experience with STTM mapping, DQ validation, and data quality frameworks
• Familiarity with data governance frameworks, metadata management, and data contracts
• Experience working in Agile/Scrum delivery environments
• Strong stakeholder management and communication skills

Desirable

• Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results
• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
• IN THIS ROLE you will lead end-to-end lifecycle ownership of one or more Data Products on Mondelēz's DBx-based enterprise data platform. Accountable for requirements, roadmap, design governance, delivery quality, operational oversight, and retirement execution. Combines strategic product ownership with hands-on analytical execution
• WHAT THIS TEAM AND ROLE DOES : Part of the MDS Data Products team driving AI-native transformation. Global data product strategy, delivery, and governance across the full lifecycle (demand intake → discovery → design → build → test → deploy → operate → retire). Works at the intersection of business strategy, data governance, and technical delivery
• Own and maintain the data product roadmap
• Facilitate data contracts with stakeholders
• Engage with cross functional teams on demand prioritization and enterprise-level decisions
• Lead requirements gathering, functional analysis, fit-gap assessments and scoping
• Oversee design fitment, source discovery, and Source-to-Target Mapping (STTM)
• Approve initial designs, HLD, DIF documentation
• Execute STTM mapping and document gap findings
• Approve DQ validation, KPI acceptance, and release documentation
• Prepare test cases, execute test scripts, and produce test evidence documentation
• Coordinate UAT logistics - liaise with business stakeholders and document outcomes
• Own UAT sign-off and Data Product assessments
• Drive and own the Data Product Certification process
• Prepare certification artefacts and supporting documentation
• Own data product release and CAB documentation