JD: Data Product Analyst Level: Manager | Job Family: Data & Analytics | Product Domain: Data Products IN THIS ROLE — 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. WHAT YOU WILL BRING — Experience bridging business and technical teams in data product delivery; passion for data governance and quality; solid stakeholder management across various stakeholders. JOB

REQUIREMENTS:
• 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 SPECIFIC SKILLS AND EXPERIENCES:
• 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 GOOD TO HAVE SKILLS AND EXPERIENCES:
• Experience with DBT, Airflow/Composer, or similar data pipeline tools
• Knowledge of FAIR data principles and data certification frameworks
• Background in FMCG/CPG industry data environments
• Familiarity with data catalog tools (Collibra, Alation, Dataplex)
• Understanding of canonical data modeling and enterprise data standards
• Experience with Jira and ADO

📌 Data Product Manager (Mumbai)
🏢 Mondelēz International
📍 Mumbai