Director, SC Data
Biopharma Careers
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Benefits offered by this job
Job summary
DePuy Synthes in New Brunswick, NJ seeks a Director, Supply Chain Data to lead the Data & AI strategy for the global supply chain, coordinating with business and IT to translate needs into data products and analytics.
You will own the end-to-end demand management, partner with GCC delivery teams, and drive governance, roadmaps, and measurable business outcomes across planning, procurement, manufacturing, and logistics.
Qualifications
- Required: Bachelor's degree in a related field.
- Preferred: MBA or advanced analytics/SC-focused master's.
- Extensive leadership and data governance experience.
Responsibilities
- Define and execute the data & AI strategy for supply chain.
- Lead end-to-end demand management and governance.
- Coordinate with GCC and IT to deliver scalable data products.
- Build and guide cross-functional teams across global delivery.
Skills
Education
Tools
Job description
Data Analytics & Computational Sciences
Business Intelligence
People Leader
New Brunswick, New Jersey, United States of America
Palm Beach Gardens, Florida, United States of America
Raynham, Massachusetts, United States of America
Warsaw, Indiana, United States of America
West Chester, Pennsylvania, United States of America
DePuy Synthes is recruiting for a Director, SC Data, located in New Brunswick, NJ United States.
The Director, Supply Chain Data leads the Data & AI strategy and delivery agenda for the DePuy Synthes Supply Chain function. Working in close collaboration with Supply Chain business and IT teams, this role translates business needs into a prioritized portfolio of data, analytics, and AI initiatives, manages demand end‑to‑end, and coordinates with the Global Capability Center (GCC) for scalable delivery. The Director is the primary connection point between Supply Chain stakeholders, IT partners, and GCC delivery teams, ensuring data products, analytics, and AI capabilities are aligned to business priorities and drive measurable outcomes across planning, procurement, manufacturing, inventory, logistics, and customer service. The role requires strong business partnership, data leadership, and people leadership to advance data‑driven decision making and operational excellence across the global supply chain.
- Define and execute the Supply Chain Data & AI strategy in partnership with Supply Chain business and IT leadership, aligned to DePuy Synthes enterprise priorities.
- Work in close collaboration with Supply Chain business and IT teams to understand needs from a Data and AI perspective and translate them into actionable solutions.
- Own end‑to‑end demand management, intake, prioritization, and governance, for Supply Chain data, analytics, and AI initiatives.
- Coordinate with the GCC to plan, resource, and deliver data products, analytics, and AI capabilities at scale.
- Serve as the primary point of contact between Supply Chain, IT, Data & AI teams, and the GCC delivery organization.
- Develop and maintain a multi‑year roadmap for supply chain data products, reporting, advanced analytics, and AI use cases.
- Lead cross‑functional teams to design and deliver data solutions supporting planning, procurement, manufacturing, distribution, quality, and customer fulfillment.
- Drive adoption of data governance, master data management, data quality, and data stewardship practices across supply chain domains.
- Oversee delivery of dashboards, analytics products, predictive models, and AI‑enabled solutions that improve decision making and performance.
- Establish KPI and value‑realization frameworks to track business impact from data and AI investments.
- Manage stakeholder relationships and communicate roadmaps, priorities, risks, dependencies, and achievements to leadership.
- Build organizational capability by coaching, mentoring, and developing talent across data, analytics, and AI teams, including GCC‑based colleagues.
- Lead operating and portfolio governance reviews to ensure transparency, prioritization, and alignment across workstreams.
- Champion continuous improvement through advanced analytics, automation, machine learning, and emerging AI capabilities.
- Required: Bachelor's degree in Supply Chain, Engineering, Information Systems, Data Science, Computer Science, Business, Operations Management, or a related field.
- Preferred: Master's degree (MBA, Supply Chain Management, Analytics, Data Science, or Engineering).
Required
- 10+ years of progressive experience across Supply Chain, Data & Analytics, or Digital Transformation, including leadership roles.
- Demonstrated experience partnering with business and IT leaders to define and deliver enterprise data and AI strategies.
- Strong understanding of Supply Chain processes (planning, procurement, manufacturing, inventory, logistics, distribution, customer service).
- Proven experience managing demand, prioritization frameworks, and delivery portfolios.
- Experience coordinating distributed/GCC delivery teams in a global, matrixed organization.
- Deep understanding of data governance, data quality, master data management, and the data lifecycle.
- Experience with enterprise data platforms, reporting, and advanced analytics environments.
- Strong stakeholder management, executive communication, and influencing skills.
- Demonstrated people leadership including talent development, coaching, and performance management.
Preferred
- Experience with Supply Chain AI, machine learning, predictive analytics, and intelligent automation use cases.
- Experience supporting SAP-based supply chain and enterprise planning platforms.
- Familiarity with modern cloud data platforms and analytics ecosystems.
- Experience establishing or leading GCC delivery models.
- Experience in MedTech, Life Sciences, Healthcare, or other highly regulated industries.
- Knowledge of product-oriented delivery and agile product management practices.
Other
- Travel: Up to 20%
- Language: English proficiency required.
- Certifications (Preferred): APICS/ASCM (CSCP/CPIM), PMP, SAFe, or relevant Cloud/Data/AI certifications.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.
Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics 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.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
- Advanced Analytics
- Business Intelligence (BI)
- Business Savvy
- Cross‑Functional Collaboration
- Data Analysis
- Data Governance
- Data Privacy Standards
- Data Quality
- Developing Others
- Inclusive Leadership
- Leadership
- Master Data Management (MDM)
- Performance Measurement
- Process Improvements
- Resource Planning
- Software Development Management
- Tactical Planning
- Team Management
- Transparency Reporting
- Workflow Analysis
- Advanced Analytics
- Business Intelligence (BI)
- Business Savvy
- Cross‑Functional Collaboration
- Data Analysis
- Data Governance
- Data Privacy Standards
- Data Quality
- Developing Others
- Inclusive Leadership
- Leadership
- Master Data Management (MDM)
- Performance Measurement
- Process Improvements
- Resource Planning
- Software Development Management
- Tactical Planning
- Team Management
- Transparency Reporting
- Workflow Analysis
- The anticipated base pay range for this position is: 150,000.00 - 300,000.00 USD
- Vacation –120 hours per calendar year
- Sick time – 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time – up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52‑week rolling period 10 days
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time‑Off – 80 hours per calendar year
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits
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