Senior Supply Chain Expert (Supply Chain SME)

Position Title: Senior Supply Chain Expert (Data Science & GenAI Enablement)

Location: US (Remote)

Any Visa is Fine

Job Description:

We are looking for an exceptional supply chain strategist with deep knowledge across planning sourcing manufacturing logistics and quality. The ideal expert will be able to translate operational challenges into AI-powered data-driven solutions that improve resilience customer fulfillment reliability and sustainability.

Key Responsibilities

Supply Chain Domain Leadership

Serve as the SME for end-to-end supply chain functions across MedTech / Pharmaceuticals / Consumer Health.

Translate priorities such as OTIF improvement lead-time reduction supplier reliability and cost-to-serve into actionable data science problem statements.

Provide domain insights for advanced use cases including:
Demand sensing ATP prediction lead time forecasting supply risk sensing inventory optimization cost-to-serve analytics.

Enable scenario modeling and control tower intelligence through well-defined process linkages and exception logic.

Data Science Collaboration

Partner closely with data scientists to define business logic label data features and validate ML outputs.

Challenge model assumptions leveraging supply chain knowledge (MOQ seasonality safety stock sourcing strategies).

Support GenAI initiatives for automated insights supplier performance narratives and RCA summarization.

Ensure all AI/ML solutions are explainable interpretable and business-friendly.

Value Realization & Change Management

Track and quantify model impact on KPIs: Inventory turns OTIF cost-to-deliver carbon footprint.

Drive adoption of digital twins analytics dashboards and AI-driven decision workflows.

Lead stakeholder enablement and continuous improvement across global cross-functional teams.

Required Qualifications

12 years of end-to-end supply chain experience; strong preference for MedTech Pharma or Consumer Health domain.

Deep knowledge of Plan-Source-Make-Deliver-Quality processes data structures and KPIs.

Experience supporting data science analytics or supply chain control tower initiatives.

Strong functional knowledge of ERP and planning systems such as SAP ECC/S/4 HANA JDE OMP Kinaxis etc.

Ability to interpret analytical models (forecasting classification regression) and connect them to operational use cases.

Preferred Skills

Collaboration experience with data engineering teams in Azure Databricks or Snowflake ecosystems.

Understanding of AI/ML lifecycle for enterprise-scale deployment.

Familiarity with control tower platforms digital twins and GenAI applications.

Outstanding communication and storytelling skills for executive-level presentations.

Experience thriving in a global matrixed cross-sector environment.

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Required Skills:

AZUREDATA SCIENCESAP ECCJDEDATA STRUCTURESSupply ChainSupply Chain OperationsSupply Chain OptimizationSupply Chain Software