Director, VCEx Innovation – Digital Intelligence
Job in
Trenton, Mercer County, New Jersey, 08628, USA
Listed on 2026-09-07
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-07
Job specializations:
-
IT/Tech
Change Management, Data Analyst, AI Business & Operations -
Supply Chain/Logistics
Change Management, AI Business & Operations
Job Description & How to Apply Below
- Set the digital capability strategy for Value Chain Management
- Define vision, strategy, and roadmaps improving demand and supply planning, fulfillment, network design, and resilience
- Own end-to-end product and program governance from discovery through deployment and scale
- Lead One Digital Value Chain delivery by integrating planning, modeling, and decision-support tools
- Build and scale network design decision support, including a supply chain design data repository
- Drive simulation, scenario analysis, and optimization for capital investment, sourcing strategy, site selection, and lifecycle planning
- Lead One Performance Management and embed performance discussions into S&OP and monthly review cadences
- Provide supply chain and systems leadership across demand planning, supply planning, production planning, inventory strategy, and distribution
- Drive data lineage, model governance, automation, and analytics using Python and SQL
- Partner with architecture, IT, and data science teams on AI and advanced analytics
- Lead stakeholders and structured change management in a matrixed environment
- Directly lead 3–4 employees and influence approximately 20 product, analytics, and transformation professionals
- Develop and coach a high-performing team and establish digital ambassador and SME communities of practice
- Minimum of a Bachelor’s/University or equivalent degree is required
- Minimum 10 years of relevant work experience
- Experience in supply chain, operations, and/or digital transformation with progressive leadership responsibility
- Proven product ownership of enterprise supply chain capabilities, including road-mapping, prioritization, delivery, and lifecycle governance at scale
- Deep domain knowledge of pharmaceutical supply chain networks, including product launch planning, site selection, and lifecycle planning
- Experience integrating and operating planning systems and end-to-end supply chain platforms
- Proficiency in Python for analytics and automation
- Proven experience using analytics, simulation, and AI to inform decisions
- Track record influencing senior partners and leading change in complex, matrixed organizations
- People leadership experience, including developing and coaching talent and building cross-functional teams
- Strong financial competence, including aligning digital investments with business value and managing budgets
- Proficiency in English with excellent written and verbal communication skills
- Up to 20% domestic and international travel may be required
- Master’s or MBA degree, focused degree in Engineering, Computer Science, Supply Chain, or related field, major planning systems and integrations, cloud platforms and APIs, and hands-on demand or supply planning experience preferred
- Ability to work on-site at least three days each week
Demonstrates expertise in supply chain management, digital transformation, and analytics, with a strong focus on product ownership and governance. Proven ability to lead cross-functional teams, drive strategic initiatives, and influence stakeholders in complex environments.
Highest-signal resume keywords- Supply Chain Management
- Digital Transformation
- Python Proficiency
- Product Ownership
- People Leadership
- Analytics
- Simulation
- Scenario Analysis
- Optimization
- Road-Mapping
- Lifecycle Governance
- Demand Planning
- Supply Planning
- Inventory Strategy
- Distribution
- Communication
- Change Management
- Team Development
- Stakeholder Influence
- Coaching
- Bachelor’s Degree
- Master’s Degree
- MBA
- Pharmaceutical Supply Chain
- Product Launch Planning
- Site Selection
- Lifecycle Planning
- Financial Competence
- Planning Systems
- Supply Chain Platforms
- AI Tools
- Data Analytics
- Cloud Platforms
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