Director of Supply Chain Data Solutions- London in Hertford

Reporting to the CTO

• 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.

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.

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 oriented with analytical, time management and problem-solving skills.

Excellent written and verbal communication skills.