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Digital Product Strategy & Vision: Defining and leading the digital product vision and strategy for ISC&S within a large data domain with high strategic impact ensuring alignment with the broader operating model and enterprise data strategy.
Product Portfolio Management: Overseeing the domain digital product portfolio managing the lifecycle from ideation through development launch and continuous improvement.
Cross-Domain Collaboration: Partnering with other domain leaders to deliver interoperable and reusable digital products that support end-to-end supply chain and service operations.
AI/ML & Optimization Use Cases: Identifying and ideating opportunities for AI machine learning and optimization within the domain to drive efficiency automation and innovation.
System Change Impact Review: Evaluating the impact of system changes on digital products and ensuring alignment with business needs and technical architecture.
Data Product Development: Championing the implementation of Data Mesh principles organizing master and transactional data into scalable trusted data products.
Process Governance & Maturity: Implementing the defined governance framework for supply chain processes ensuring standardization ownership and continuous improvement.
Supply Chain Intelligence: Building tools and frameworks to enhance visibility and decision-making across the global supply chain network within the assigned domain.
Change Management: Acting as a change agent promoting simplification standardization and data democratization through the Data Marketplace.
Compliance & Data Privacy: Ensuring adherence to data privacy regulations (e.g. GDPR HIPAA) in collaboration with legal and compliance teams.
Required Qualifications
Masters degree in Supply Chain Management Business Administration Information Technology or a related field.
Strong experience in supply chain or digital product management within a complex global organization.
Proven experience in leading digital product strategies and managing cross-functional teams.
Demonstrated success in implementing data mesh and AI/ML use cases in supply chain contexts.
Strong understanding of supply chain systems data governance and digital transformation.
Strong understanding of Data Modelling Power BI Collibra and Data Marketplace.
Preferred Qualifications
MBA with a focus on Supply Chain Digital Transformation or Data Analytics.
Experience with ERP systems data and analytics RPA and other emerging technologies.
Strong strategic thinking communication and stakeholder management skills.
Experience in the healthcare industry or other highly regulated environments.
Global experience with cross-cultural collaboration and supply chain dynamics.
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Relocation Assistance Provided: No
Required Experience:
Director
Full-Time