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Manage demand forecasting and replenishment activities for Southeast and Middle Eastern markets. Maintain planning-system and master-data accuracy, develop consensus demand plans with stakeholders and distributors, support Sales and Operations Planning, and analyze forecast accuracy, inventory, availability, and supply-chain KPIs. The role requires root-cause analysis, data-driven recommendations, reporting, and collaboration across markets while working an 11:00 a.m. to 8:00 p.m. shift.

Own and support IBM Maximo and Maximo Application Suite asset-management solutions in manufacturing environments. Configure and enhance workflows, automation scripts, integrations, reports, and business rules; troubleshoot incidents; conduct testing, upgrades, migrations, and performance improvements; and collaborate with stakeholders to deliver scalable technology solutions. The role is approximately 70% application analysis and support and 30% development and technical delivery.

The job description provides only a company overview and eligibility statement. Specific responsibilities, qualifications, technologies, compensation, travel, and clearance requirements are not provided for the Project Engineer role.

Leads supply chain external partner data strategy and enablement. Translates business needs into scalable data requirements, integrations, standards, and technical solutions. Partners with product owners, architects, engineers, platform teams, and data governance stakeholders to deliver trusted analytics capabilities. Analyzes ecosystem data, documents requirements, manages backlogs and Agile delivery, resolves dependencies, and influences solution design and prioritization across multiple initiatives.

The Senior Demand Planner improves item, week, and location-level forecast accuracy using OMP and statistical forecasting tools. Responsibilities include reviewing forecasts, managing promotions and seasonality, analyzing forecast error and bias, maintaining data integrity, partnering with supply planning and business stakeholders, reducing inventory and costs, improving forecasting processes, and training new hires. The role works a 1:30 p.m. to 10:30 p.m. shift.

Leads business intelligence strategy and delivery by designing governed, reusable semantic models in Looker, LookML, and BigQuery. Develops certified metrics, dashboards, self-service analytics, SQL solutions, and AI-enabled BI capabilities. Owns governance, access controls, testing, monitoring, Git workflows, code reviews, and CI/CD. Partners with business and technology stakeholders to translate needs into scalable analytics solutions, communicates trade-offs, mentors team members, and drives BI standards and adoption.

Build and support production MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and related tools. Responsibilities include feature engineering, model deployment, monitoring, retraining, lifecycle management, performance optimization, CI/CD, documentation, and operational support. The role collaborates with data science, data engineering, cloud platform, and MLOps teams to deliver scalable machine learning solutions and establish reusable MLOps standards and best practices.

Analyzes customer, panel, point-of-sale, and syndicated data to identify sales trends and business opportunities. Builds dashboards, reports, analytical tools, visualizations, and presentations using SQL, Tableau, Excel, PowerPoint, and GCP. Partners with global stakeholders to translate business requests into actionable recommendations, influence decision-making through data storytelling, ensure data quality, and support continuous improvement, onboarding, and knowledge sharing.

Support the India-market o9 implementation across demand planning, supply planning, RCCP, MRP, production planning, distribution, and truckload building. Configure and integrate o9 modules, translate business requirements into functional designs, coordinate testing and deployment, ensure data flows across o9, SAP, Mulesoft, and GCP, and provide ongoing support, troubleshooting, documentation, training, and process improvements.

Own and support enterprise reporting platforms, including Tableau, Looker, SAP BusinessObjects, Metric Insights, and Power BI. Responsibilities include platform administration, configuration, upgrades, patching, user and security management, CI/CD deployment pipelines, monitoring, performance optimization, and infrastructure coordination. The role also develops dashboards, manages data connections and refreshes, supports releases across QA and production, and provides rotational overnight, weekend, and holiday on-call coverage.