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 as part of the MDS Data Products team.

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.
• 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.

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.
• 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.

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.
• No relocation support available.
• Job type: Regular.