Jobs at Mondelēz International

Leads enterprise master data strategy and governance across India’s supply chain. Owns golden records, data quality, system interlocks, automated data pipelines, cloud data integration, MIS dashboards, stewardship models, and governance forums. Supports major O9, SAP S/4HANA, and CPS transformations while ensuring accurate, complete, synchronized data across systems and sites.

Design and build scalable cloud-based data solutions, develop ETL pipelines for warehouses and data lakes, enforce data quality, optimize processing and storage, collaborate with data and product teams, and mentor other engineers. The role requires expertise in Python, PySpark, SQL, Databricks, AWS services, data modeling, medallion architecture, and scheduling technologies.

Manages security configurations, user access, role governance, testing, compliance, audit support, and access-related incidents for the o9 platform. The role coordinates security activities across projects, regions, testing cycles, cutovers, and go-lives while maintaining documentation and audit evidence. It collaborates with business, project, controls, and audit teams to improve access management and security controls.

Manage financial compliance, plant budgets, monthly book closures, general ledger reconciliations, cost variance analysis, KPI and MIS reporting, audits, and taxation support for external manufacturing operations. The role requires SAP FICO proficiency, strong Excel and PowerPoint skills, and collaboration with plant leadership to improve financial control and operational efficiency.

Build and deploy production-grade data science, machine learning, NLP, computer vision, optimization, simulation, and GenAI solutions focused on quality, food safety, manufacturing, and supply chain analytics. Develop predictive models, dashboards, governed data products, and MLOps capabilities using Databricks and Azure or AWS. Integrate enterprise, manufacturing, and IIoT data while partnering with quality, operations, engineering, and supply chain stakeholders to improve yield, reliability, compliance, and operational efficiency.

Leads India’s Growth Analytics team, delivering marketing mix modeling, ROI measurement, pricing analytics, category forecasting, social listening, and business intelligence. The role translates advanced statistical and econometric analyses into actionable recommendations for marketing investment, pricing, portfolio optimization, and business planning. It manages multiple analytics projects, partners with marketing, finance, sales, and category teams, presents insights to senior stakeholders, improves analytics processes, and develops team capability through mentoring and performance management.

Leads integrated media strategy, planning, buying, agency management, budget oversight, digital performance, traditional media optimization, measurement, and innovation for Mondelēz India's chocolate portfolio. The role manages large investments across digital and offline channels, drives ROI through analytics and optimization, partners with agencies and platforms, and connects media execution to brand and business outcomes.

Build and maintain scalable cloud-based data solutions, including ETL pipelines, data warehouses, data lakes, and data quality processes. Optimize data processing and storage, apply dimensional modeling and medallion architecture, and collaborate with engineering, product, modeling, analytics, and business stakeholders. Use Python, PySpark, SQL, Databricks, AWS services, and scheduling technologies to deliver reliable analytics infrastructure and support business insights.

Design and build scalable cloud-based data solutions and maintain ETL pipelines into data warehouses and lakes. Implement data quality and validation processes, optimize processing and storage performance, and apply dimensional modeling and Databricks Medallion Architecture. Collaborate with data teams, product owners, engineering leads, analysts, and stakeholders while following data engineering standards and best practices.

Design and build scalable cloud-based data solutions and maintain ETL pipelines into data warehouses and lakes. Ensure data quality, validation, storage efficiency, and performance. Collaborate with data architects, modelers, product owners, and stakeholders while applying modern cloud technologies and data-engineering standards. Lead internal and external data engineering teams to deliver projects on time.

Own the vision, strategy, roadmap, deployment, adoption, and continuous improvement of Mondelēz’s Contract Lifecycle Management platform. Lead cross-functional stakeholder engagement across Legal, Procurement, R&D, Sales, and business units; manage vendors, governance, integrations, releases, contract compliance, and value leakage prevention. Establish KPIs, prioritize enhancements, oversee support, and guide AI-enabled CLM capabilities including Amazon Quick Agents and contract analytics.

Owns enterprise-wide ServiceNow technical architecture, platform capabilities, governance, standards, integrations, security controls, and roadmap development. Serves as the ServiceNow subject matter expert, evaluates technical demands, guides development and administration teams, reviews designs and code migrations, supports project delivery, and drives cross-platform alignment, continuous improvement, and best practices across global stakeholders and vendors.

Design and build scalable cloud-based data solutions, develop and maintain ETL pipelines, ensure data quality, optimize processing and storage, and support analytics initiatives. The role uses Python, PySpark, SQL, Databricks, AWS services, dimensional modeling, and scheduling technologies while collaborating with engineering, data modeling, analytics, product, and business stakeholders.

Develop and operationalize forecasting models for cocoa supply, demand, pricing, and scenario planning. Collaborate with procurement, supply chain, finance, and commodity trading teams to translate model outputs into business recommendations. Manage model deployment, monitoring, governance, documentation, and MLOps compliance. Apply time-series, causal, machine learning, deep learning, explainable AI, and GenAI techniques to structured and unstructured commodity data.

Configure and sustain Mondelez's o9 planning platform: build data models, workflows, and analytics; develop custom planning logic (Python/R); design integrations with SAP/Oracle using Talend/Kafka/REST; execute testing and UAT; resolve post-go-live issues; create documentation and train regional planners to support global supply chain planning.

Design and build scalable cloud-based data solutions, develop ETL pipelines for data warehouses and lakes, ensure data quality, optimize storage and retrieval, and collaborate with data architects, modelers, product managers, analysts, and stakeholders. The role also guides junior data engineers and applies AWS, Databricks, Python, PySpark, SQL, Airflow, and data modeling technologies.

Leads regional order-to-cash product integration across order capture, fulfillment, billing, collections, cash application, and customer care. Owns business requirements, portfolio visibility, governance, BPO performance, digital adoption, and value realization. Establishes a regional community of practice, aligns requirements with enterprise roadmaps, tracks Celonis KPIs, and holds product and operations leaders accountable. Requires strong OTC, SAP, Celonis, portfolio governance, financial, analytical, and executive stakeholder-management expertise.

Shape the Customer Care product across order-to-cash processes, translating business needs into scalable workflows, data requirements, integrations, and technology solutions. Lead SAP-informed solution design, roadmap development, transformation initiatives, analytics, AI-enabled service capabilities, testing, and vendor/SI partner management. Collaborate with business, architecture, integration, data, product, and delivery teams to improve customer service effectiveness, exception handling, visibility, and operational performance.

Provide Tier 2/3 support for TA systems, triage and resolve defects, configure and test low-complexity changes, produce release testing evidence, maintain configuration documentation, assess impact of system changes, support access and user issues, and drive process standardization and continuous improvement within shared services.

Leads end-to-end delivery of e-compliance solutions, including e-invoicing, e-delivery, and e-reporting for OTC and RTR processes. Translates business requirements into technical designs, oversees blueprinting, build, testing, deployment, training, and post-go-live support. Ensures adherence to release and toll-gate methodologies, coordinates external partners, manages project estimates and planning, and drives adoption of harmonized processes and SAP-based solutions.