D&A Data Product Manager

Role Overview: Join the mission at Mondelz International to lead the future of snacking by supporting the business with excellent data models to uncover trends that can drive long-term business results. As an Analytics Manager, you will play a vital role in the MDS Data & Analytics team, collaborating with cross-functional teams to empower Data Management teams with actionable insights. Key Responsibilities: - Work in close partnership with the business leadership team to execute the analytics agenda - Identify and incubate best-in-class external partners for strategic projects - Develop custom models/algorithms to uncover signals/patterns and trends for long-term business performance - Execute the business analytics program agenda using a methodical approach conveying to stakeholders the value business analytics can deliver Qualifications Required: - 8 years of overall industry experience with a minimum of 6 years in Product Management building and deploying large-scale data products in a production environment - Hands-on experience with coding on GCP, Big Query, Databricks, and SQL - Practical experience with Data-Driven Approaches, Data Security strategy, and well-known data engineering tools and platforms - Ability to build and operate Data Pipelines, Data Storage, and work on big data architecture within Distributed Systems - Experience in implementation and automation of Internal and External data extraction, data cleaning, data documentation, and exposure of data via Alteryx SQL Database for consumption in Tableau Additional Company Details: At Mondelz International, the purpose is to empower people to snack right by offering a broad range of high-quality snacks made with sustainable ingredients. With a rich portfolio of globally recognized brands, the company's diverse community is energized for growth and committed to living their purpose and values. (Note: The specific skills and experience section has been omitted as it contains technical details beyond the scope of the requested information.) Role Overview: Join the mission at Mondelz International to lead the future of snacking by supporting the business with excellent data models to uncover trends that can drive long-term business results. As an Analytics Manager, you will play a vital role in the MDS Data & Analytics team, collaborating with cross-functional teams to empower Data Management teams with actionable insights. Key Responsibilities: - Work in close partnership with the business leadership team to execute the analytics agenda - Identify and incubate best-in-class external partners for strategic projects - Develop custom models/algorithms to uncover signals/patterns and trends for long-term business performance - Execute the business analytics program agenda using a methodical approach conveying to stakeholders the value business analytics can deliver Qualifications Required: - 8 years of overall industry experience with a minimum of 6 years in Product Management building and deploying large-scale data products in a production environment - Hands-on experience with coding on GCP, Big Query, Databricks, and SQL - Practical experience with Data-Driven Approaches, Data Security strategy, and well-known data engineering tools and platforms - Ability to build and operate Data Pipelines, Data Storage, and work on big data architecture within Distributed Systems - Experience in implementation and automation of Internal and External data extraction, data cleaning, data documentation, and exposure of data via Alteryx SQL Database for consumption in Tableau Additional Company Details: At Mondelz International, the purpose is to empower people to snack right by offering a broad range of high-quality snacks made with sustainable ingredients. With a rich portfolio of globally recognized brands, the company's diverse community is energized for growth and committed to living their purpose and values. (Note: The specific skills and experience section has been omitted as it contains technical details beyond the scope of the requested information.)