Oversee design, development, and delivery of operational dashboards, KPI scorecards, statutory reporting, predictive analytics models, and executive reporting packs across Finance, Sales, Supply Chain, Manufacturing, Customer Service, Marketing, New Product Development, Procurement, and HR
Ensure timely, accurate, and relevant reporting through SAP BW/4HANA, SAP Analytics Cloud, SAP Fiori Reporting, Power BI, Snowflake, Azure Platform, and Data Lake environments
Promote adoption of self-service analytics capabilities and a data-driven culture across the organisation
Act as custodian for data quality and data definitions; partner with business owners (Compliance, Legal, Finance, and other functions) to define and agree data standards and policies
Oversee implementation of data governance and master data processes using the Nintex Automation Platform
Ensure processes are documented, embedded in business workflows, and regularly reviewed for effectiveness
Lead the MDM/G team managing key master data domains: Customer, Product, Material, Vendor, and Finance Master Data
Define and monitor KPIs for reporting accuracy, process efficiency, data quality, and user adoption
Implement continuous improvement initiatives across reporting and analytics processes
Lead and develop teams through senior leaders, promoting a high-performance culture
Build and maintain strong relationships with internal stakeholders across all business functions to align data and analytics initiatives
Manage relationships with vendor partners and technology providers to ensure effective delivery
Engage in data governance forums and cross-functional steering committees
Own and manage budgets for the Data & Analytics and MDM/G teams; forecast, track, and optimise people, technology, and delivery costs
Requirements
Understanding of SAP analytics platforms, including SAP BW/4HANA, SAP Analytics Cloud, and SAP Fiori Reporting
Experience with modern data platforms and tools such as Snowflake, Azure, Data Lakes, Talend, and Power BI
Knowledge of data modelling, data architecture principles, and predictive analytics concepts
Demonstrated experience defining and implementing master data management and governance frameworks across Customer, Product/Material, Vendor, and Finance domains
Practical experience using workflow automation tools (e.g., Nintex) to embed master data processes within business operations
Understanding of regulatory and compliance requirements impacting data governance
Effective leadership skills with experience developing and mentoring senior leaders and technical leads
Skilled in building trusted relationships and collaborating with stakeholders across Finance, Sales, Supply Chain, Manufacturing, Customer Service, Marketing, New Product Development, Procurement, and HR
Experience engaging with vendor partners and technology providers to deliver complex projects
Demonstrated ability to own and manage budgets, including forecasting, tracking, and optimising spend
Demonstrated skill in setting, monitoring, and refining KPIs to improve reporting accuracy, data quality, and user adoption
Mindset of continuous improvement and transformational change
Proficient communication, presentation, problem-solving, and decision-making skills
Able to manage ambiguity, competing priorities, international travel, and flexible global working hours