Director of Supply Chain Data Solutions – London
Reporting to the CTO.
Qualifications
* Bachelor's degree in Data Science, Supply Chain Management, Business Administration, or a related field; advanced degree preferred.
* 10+ years of experience in data analytics, data governance, or enterprise data management, with a focus on supply chain operations.
* Proven experience in delivering dashboards, analytics tools, and data solutions that drive business outcomes.
* Strong knowledge of data governance frameworks, standards, and best practices.
* Expertise in enterprise data management, including data modeling, integration, and synchronization across systems.
* Familiarity with digital transformation initiatives within supply chain and related functions.
* Proficiency in data visualization tools (e.g., Tableau, Power BI), analytics platforms, and database management systems.
* Exceptional leadership and communication skills, with the ability to collaborate across diverse teams and influence stakeholders at all levels.
* Strong problem‑solving and critical‑thinking abilities, with a focus on driving continuous improvement.
* Experience with advanced analytics, machine learning, or AI‑driven solutions in supply chain operations.
* Knowledge of ERP systems (e.g., SAP, Oracle) and their integration with data platforms.
* Certification in data governance or data management frameworks (e.g., DAMA, CDMP).
* Experience in managing large‑scale digital transformation projects.
* Strong collaboration with team members and other departments.
* Detail orientated with analytical, time management and problem‑solving skills.
* Excellent written and verbal communication skills.
Responsibilities
Data Architecture
* Develop and maintain a robust and scalable data architecture that supports the end‑to‑end supply chain process.
* Collaborate with cross‑functional teams to define data integration points and ensure data flows seamlessly across systems.
* In collaboration with IT, oversee the design and implementation of data models, data warehouses, and data pipelines to support data analytics and reporting.
* Collaborate with business stakeholders to translate their needs into scalable and efficient data solutions that support digital transformation initiatives.
* Design and implement robust data architectures that enable seamless integration across systems and applications while ensuring scalability and efficiency.
* Partner with IT and project teams to deliver data solutions aligned with transformation outcomes, including automation, advanced analytics, and AI‑driven insights.
* Act as a strategic advisor for digital projects, ensuring data requirements are met while driving innovation and efficiency.
Data Governance
* Establish and enforce data governance standards, policies, and procedures to ensure data quality, consistency, and accuracy across the organization.
* Lead efforts to improve master data quality and manage data hierarchies, taxonomies, and definitions for key supply chain data elements.
* Facilitate cross‑functional alignment and collaboration to ensure data is structured, organized, accessible, and leveraged effectively.
* Monitor and maintain compliance with regulatory requirements and industry standards related to data management.
Enterprise Data Management
* Ensure the integrity, consistency, and accessibility of critical data across Supply Chain, Sales Enablement, and Finance/Accounting organizations.
* Develop and maintain enterprise‑wide data models, ensuring alignment with organizational goals and objectives.
* Implement processes and tools to streamline data integration and synchronization across systems and departments.
* Lead efforts to identify and resolve data discrepancies, ensuring a single source of truth for enterprise data.
AI Strategy and Roadmap
* In partnership with the Senior Director Digital transformation, develop and communicate a comprehensive AI strategy aligned with the company's supply chain objectives and long‑term business goals.
* Identify AI opportunities and use cases that can enhance supply chain efficiency.
* Drive the deployment of AI‑powered tools to support decision‑making, process automation, and data‑driven insights.
* Create a roadmap for the successful implementation of AI solutions, considering scalability, feasibility, and ROI.
* Stay abreast of the latest advancements in AI and machine learning technologies, and assess their potential impact on supply chain operations.
Team Leadership
* Provide strategic direction and mentorship to the data services team, fostering a culture of collaboration, continuous learning, and excellence.
* Identify talent gaps and implement strategies to attract, retain, and develop top talent.
* Set clear performance goals, conduct regular performance evaluations, and identify opportunities for professional development.
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