Director, Data and Analytics
Twinings
AzureCloud
Director, Data and Analytics
Twinings
full-time
Posted on:
Origin: • 🇿🇦 South Africa
Visit company websiteJob Level
Lead
Tech Stack
AzureCloud
About the role
- Oversee design, development and delivery of operational dashboards, KPI scorecards, statutory reporting, predictive 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 via SAP BW/4HANA, SAP Analytics Cloud, SAP Fiori Reporting, Power BI, Snowflake, Azure and Data Lake environments
- Promote adoption of self-service analytics and a data-driven culture across the organisation
- Act as custodian for data quality and data definitions; partner with business owners (Compliance, Legal, Finance) to define and agree data standards and policies
- Oversee implementation of data governance and master data processes using Nintex; ensure processes documented and embedded in workflows
- Lead MDM/G team managing Customer, Product/Material, Vendor and Finance master data domains ensuring consistent, compliant and high-quality master data
- Define and monitor KPIs for reporting accuracy, process efficiency, data quality and user adoption; implement continuous improvement initiatives
- Lead and develop teams through senior leaders; promote a high-performance culture
- Build and maintain relationships with stakeholders across business functions and manage vendor/technology provider relationships
- Engage in data governance forums and cross-functional steering committees to align D&A priorities with business strategy
- Own and manage budgets for 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 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, Finance domains
- Practical experience using workflow automation tools (e.g., Nintex) to embed master data processes
- Understanding of regulatory and compliance requirements impacting data governance
- Effective leadership skills with ability to develop, mentor, and inspire senior managers and technical leads
- 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 for reporting, data integrity, and user adoption
- Strong communication and presentation skills; ability to translate complex data topics into actionable insights
- Skilled problem-solving and decision-making capabilities; ability to manage ambiguity and competing priorities
- Significant experience leading enterprise-wide reporting, analytics, and data governance functions in a complex, global environment (ideally CPG or manufacturing)
- Willingness to travel internationally and flexibility in working hours aligned with a global role
