Data Product Manager

Job Description

• 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

• 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

• 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.

• Bachelors 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.

• 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.

No Relocation support available Business Unit Summary At Mondel z International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish lifes moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. Job Type Regular Analytics Modelling Analytics Data Science