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; strong 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
- Solid 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