Data Product Manager

Overview

Lead end-to-end lifecycle ownership of one or more Data Products on Mondelēz's DBx-based enterprise data platform, combining strategic product ownership with hands-on analytical execution.

What you'll do

• 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

What you'll need

• 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)
• 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
• Experience bridging business and technical teams in data product delivery
• Passion for data governance and quality
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Using data analysis to make recommendations to senior leaders

Nice to have

• Experience with cloud data platforms (GCP/BigQuery preferred)
• 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

Details

• Location: Mumbai, India
• Work schedule: Hybrid
• No relocation support available
• Job type: Regular