Senior Supply Chain Expert Data Science & GenAI Enablement (Independent Candidate Only)

Overview

Remote

Depends on Experience

Accepts corp to corp applications

Contract - W2

Contract - Independent

Skills

Artificial Intelligence

Data Science

Supply Chain Management

Use Cases

Machine Learning (ML)

Pharmaceutics

Microsoft Azure

Generative Artificial Intelligence (AI)

Job Details

Title: Senior Supply Chain Expert Data Science & GenAI Enablement
Location: Remote
Employment Type: Independent Candidate Only

About the Role

We are seeking a highly experienced Supply Chain leader with deep expertise across planning, operations, and digital transformation, combined with hands-on experience in Data Science, AI/ML, and Generative AI.
This role requires someone who understands end-to-end supply chain orchestration from strategic planning and supplier reliability to customer fulfillment and can translate that expertise into AI-powered, data-driven solutions that improve performance, resilience, and sustainability.

Key Responsibilities

< data-start="790" data-end="829">Supply Chain Domain Leadership</>

Act as the SME for planning, sourcing, manufacturing, logistics, and quality across JnJ MedTech / Innovative Medicine divisions.
Convert business priorities (OTIF improvement, lead-time reduction, supplier reliability) into data science problem statements.
Collaborate with Data Science, Data Engineering, and Product teams to ensure ML/AI solutions align with supply chain processes, constraints, and KPIs.
Provide domain insights for key use cases such as demand sensing, ATP prediction, lead time forecasting, inventory optimization, supply risk sensing, and cost-to-serve analytics.
Support scenario modeling and control tower intelligence by defining metrics, process linkages, and exception logic.

< data-start="1553" data-end="1588">Data Science Collaboration</>

Work with data scientists to define business logic, label data features, and validate ML outputs against real operational behavior.
Review and challenge model assumptions (seasonality, MOQ, sourcing policies, safety stock logic, etc.).
Support GenAI initiatives including automated audit preparation, supplier narratives, and root-cause summarization.
Ensure AI/ML solutions are interpretable, explainable, and actionable.

< data-start="2027" data-end="2073">Value Realization & Change Management</>

Measure and track the business impact of data science models (inventory turns, OTIF, cost-to-deliver, carbon footprint).
Drive adoption of analytics, digital twins, dashboards, and AI-driven recommendations across planning, procurement, and logistics teams.
Facilitate end-user enablement, training, and feedback loops.

Required Qualifications

10+ years of end-to-end supply chain experience (MedTech, Pharma, or Consumer Health preferred).
Strong knowledge of Plan Source Make Deliver Quality processes, data structures, and KPIs.
Experience supporting or working with data science, analytics, or supply chain control tower initiatives.
Functional experience with ERP and planning systems (SAP ECC/S4, JDE, OMP, Kinaxis, etc.).
Ability to interpret analytical models (forecasting, regression, classification) and connect insights to operational decisions.

Preferred Skills

Experience with Azure, Databricks, or Snowflake environments.
Understanding of the AI/ML lifecycle (data prep, training, validation, deployment).
Familiarity with digital twins, control towers, and GenAI applications.
Strong communication and storytelling skills for senior leaders.
Ability to thrive in a global, cross-functional, matrixed environment.

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