Top Tech Jobs & Startup Jobs in Mumbai

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.