Top Tech Jobs & Startup Jobs

Manages complex order exceptions, customer onboarding and offboarding, process documentation, UAT, system and process implementations, and operational standardization. Coordinates cross-functional teams, validates account configurations and data integrity, supports disruption response, develops SOPs and workflows, tracks defects, and helps establish KPIs. Escalates operational risks and constraints to leadership while improving service delivery and readiness across Customer Service, Commercial, Operations, Compliance, Finance, IT, and analytics teams.

Lead analytical function determining inventory and customer placement across a ~50-node distribution network. Build demand-weighted placement models, KPIs, and financial analyses to reduce transfer costs and service failures. Collaborate cross-functionally, support DC capacity and lease decisions, mentor analysts, and present network recommendations to senior leadership.

Provides technical architecture and application support for supply chain planning platforms, including SAP IBP, Snowflake, SAP CIDS, and AI/ML capabilities. Designs integrations, troubleshoots production issues, performs root cause analysis, translates business requirements into technical solutions, coordinates onsite and offshore IT teams, documents systems, and recommends performance and data-quality improvements. Supports transformation initiatives, on-call operations, and limited travel.

Leads daily distribution center operations across receiving, warehousing, shipping, inventory control, and customer quality. Acts as DC leader when the Operations Manager is absent, manages supervisors and teams, monitors safety, quality, productivity, and inventory KPIs, and drives Lean and continuous improvement initiatives. Oversees scheduling, training, compliance, supplies, capital recommendations, customer implementations, root-cause analysis, and corrective actions. Operates material-handling equipment and ensures adherence to FDA, DEA, OSHA, and other regulatory requirements.

Build, optimize, and deploy machine learning models (especially time series) using Python, PySpark, and cloud tools. Perform feature engineering, evaluate model performance (MAPE, RMSE, R²), and create ETL/data pipelines with integration tools. Work with Palantir Foundry, Google Cloud (BigQuery, Vertex AI), AutoAI, and data warehouses to support large-scale analytics. Collaborate with stakeholders, monitor production models, and continuously improve model accuracy and pipelines.

Executive leader responsible for enterprise pricing strategy, revenue management, deal desk operations, contracting, GPO management, revenue integrity, analytics, and margin optimization. Partners across Commercial, Finance, Supply Chain, Operations, Legal, Product, and IT to improve profitability and revenue capture. Leads transformation initiatives, governance frameworks, process improvements, and a high-performing team focused on pricing excellence, commercial operations, and analytics.

Leads financial analysis and business partnering for healthcare product categories. Responsibilities include forecasting, budgeting, long-range planning, financial modeling, variance and trend analysis, KPI tracking, ROI analysis, CapEx planning, profitability reporting, risk and opportunity assessment, and executive presentations. The role collaborates with Finance, Accounting, Marketing, Sales, Operations, Manufacturing, Sourcing, and Distribution leadership to improve financial performance and standardize reporting.

Develop and optimize machine learning models, especially time series forecasting and predictive analytics. Build scalable data pipelines and integrations using PySpark, SQL, cloud platforms, and ETL tools. Perform feature engineering, data model optimization, transformations, and model evaluation. Design data warehouse solutions, deploy and monitor production models, and communicate findings to technical and business stakeholders.

Develop and optimize machine learning models, especially time series forecasting solutions. Build scalable data pipelines and integrations using Python, PySpark, SQL, cloud platforms, and ETL tools. Perform feature engineering, data model optimization, evaluation, deployment, and monitoring. Design data warehouse solutions, transform large-scale structured and unstructured data, and collaborate with stakeholders to deliver business-focused insights and production-ready models.

Leads distribution center operations across inbound and outbound logistics, warehousing, shipping, delivery, customer service, quality, and inventory accuracy. Manages staff performance, safety, productivity, expenses, KPIs, customer implementations, SOP compliance, continuous improvement, succession planning, and regulatory requirements involving controlled substances, hazardous materials, storage, and reporting.