Director of Supply Chain Data Solutions- London

\n Director of Supply Chain Data Solutions – London\n

Reporting to the CTO.

Qualifications\n

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• Bachelor’s degree in Data Science, Supply Chain Management, Business Administration, or related field; advanced degree preferred.
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• 10+ years of experience in data analytics, data governance, or enterprise data management with a focus on supply chain operations.
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• Proven experience delivering dashboards, analytics tools, and data solutions that drive business outcomes.
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• Strong knowledge of data governance frameworks, standards, and best practices.
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• Expertise in enterprise data management, including data modeling, integration, and synchronization across systems.
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• Familiarity with digital transformation initiatives within supply chain and related functions.
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• Proficiency in data visualization tools (Tableau, Power BI), analytics platforms, and database management systems.
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• Exceptional leadership and communication skills, with the ability to collaborate across diverse teams and influence stakeholders at all levels.
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• Strong problem‑solving and critical‑thinking abilities, with a focus on driving continuous improvement.
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• Experience with advanced analytics, machine learning, or AI‑driven solutions in supply chain operations.
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• Knowledge of ERP systems (SAP, Oracle) and integration with data platforms.
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• Certification in data governance or data management frameworks (DAMA, CDMP).
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• Experience managing large-scale digital transformation projects.
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• Strong collaboration with team members and other departments.
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• Detail orientated with analytical, time‑management and problem‑solving skills.
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• Excellent written and verbal communication skills.
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Responsibilities\n

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• Develop and maintain a robust and scalable data architecture that supports the end‑to‑end supply chain process.
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• Collaborate with cross‑functional teams to define data integration points and ensure seamless data flow across systems.
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• In collaboration with IT, oversee the design and implementation of data models, data warehouses, and data pipelines to support analytics and reporting.
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• Translate business stakeholder needs into scalable and efficient data solutions that support digital transformation initiatives.
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• Design and implement robust data architectures that enable seamless integration across systems and applications while ensuring scalability and efficiency.
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• Partner with IT and project teams to deliver data solutions aligned with transformation outcomes, including automation, advanced analytics, and AI‑driven insights.
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• Act as a strategic advisor for digital projects, ensuring data requirements are met while driving innovation and efficiency.
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• Establish and enforce data governance standards, policies, and procedures to ensure data quality, consistency, and accuracy.
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• Lead efforts to improve master data quality and manage data hierarchies, taxonomies, and definitions for key supply chain data elements.
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• Facilitate cross‑functional alignment and collaboration to ensure data is structured, organized, accessible, and leveraged effectively.
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• Monitor and maintain compliance with regulatory requirements and industry standards related to data management.
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• Ensure the integrity, consistency, and accessibility of critical data across Supply Chain, Sales Enablement, and Finance/Accounting organizations.
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• Develop and maintain enterprise‑wide data models, ensuring alignment with organizational goals and objectives.
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• Implement processes and tools to streamline data integration and synchronization across systems and departments.
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• Lead efforts to identify and resolve data discrepancies, ensuring a single source of truth for enterprise data.
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• In partnership with the Senior Director Digital Transformation, develop and communicate a comprehensive AI strategy aligned with the company’s supply chain objectives.
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• Identify AI opportunities and use cases that can enhance supply chain efficiency.
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• Drive the deployment of AI‑powered tools to support decision‑making, process automation, and data‑driven insights.
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• Create a roadmap for the successful implementation of AI solutions, considering scalability, feasibility, and ROI.
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• Stay abreast of the latest advancements in AI and machine learning technologies, and assess their potential impact on supply chain operations.
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• Provide strategic direction and mentorship to the data services team, fostering a culture of collaboration, continuous learning, and excellence.
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• Identify talent gaps and implement strategies to attract, retain, and develop top talent.
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• Set clear performance goals, conduct regular performance evaluations, and identify opportunities for professional development.
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Salary: 150k

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REF 3335B

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