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Manager, Redeployment Analytics

Job in Warsaw, Kosciusko County, Indiana, 46580, USA
Listing for: Johnson & Johnson MedTech
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
  • Business
    Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Title

Manager, Redeployment Analytics

Job Function

Supply Chain Planning

Job Sub Function

Multi-Family Supply Chain Planning

Job Category

People Leader

Job Location s

Raynham, Massachusetts, United States of America;
Warsaw, Indiana, United States of America.

Job Overview

DePuy Synthes is recruiting for a Manager, Redeployment Analytics, located in the United States. Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

Key Responsibilities Redeployment Supply Analytics
  • Develop analytical capabilities to assess redeployable supply based on product configuration, set composition, lifecycle status, regulatory considerations, and financial value.
  • Evaluate incoming redeployment inventory, including net book value (NBV), product variants, and market eligibility considerations.
  • Build models and scenarios to determine what redeployment opportunities can be supported from available supply.
Demand Alignment & Opportunity Assessment
  • Partner closely with international commercial and asset management teams to understand demand opportunities, growth priorities, and asset requirements.
  • Translate commercial opportunities into redeployment demand signals and prioritization frameworks.
  • Align redeployable supply with demand opportunities to maximize revenue enablement and capital optimization outcomes.
S&OE Prioritization & Allocation Leadership
  • Own the redeployment prioritization and allocation process within S&OE governance forums.
  • Develop data-driven allocation recommendations balancing commercial opportunity, capital efficiency, regulatory feasibility, and supply constraints.
  • Drive visibility to redeployment pipelines, allocation decisions, and scenario trade-offs for cross-functional stakeholders and leadership teams.
Analytics, Systems & AI Enablement
  • Develop scalable analytical tools, dashboards, and decision-support capabilities to support redeployment planning and execution.
  • Partner with systems, data, and technology teams to improve redeployment visibility and data integration across platforms.
  • Identify opportunities to embed AI and advanced analytics into redeployment processes, including scenario generation, optimization modeling, prioritization logic, and predictive insights.
  • Support the development of future‑state digital capabilities that enhance redeployment decision-making and operational execution.
Qualifications Education
  • Bachelor’s degree or equivalent experience in Business, Technical, or Operations subject areas preferred.
Experience and Skills
  • Minimum 5 years of professional experience in Supply Chain Planning, S&OP, Demand Planning, Inventory Management or other Business roles.
  • Strong analytical capability to understand sophisticated demand planning topics, identify patterns and drivers, and implement data‑driven changes to improve forecast accuracy and reliability.
  • Strong analytical and problem‑solving capabilities with experience translating complex datasets into actionable business insights.
  • Experience developing analytical models, scenario planning tools, optimization frameworks, and executive‑level reporting.
  • Strong understanding of supply chain, inventory management, planning, and/or asset deployment processes within complex global organizations.
  • Experience working with data visualization and analytical platforms such as Power BI, Tableau, Alteryx, SQL, Python, or similar tools.
  • Strong communication and stakeholder…
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