Procurement Data Science & Analytics Manager (2 years contract)

Are You Ready to Make It Happen at Mondelēz International

Join our Mission to Lead the Future of Snacking. Make It Matter.

The role combines hands-on analytical execution data governance support and operational enablement to improve data quality generate actionable insights and contribute to digital and analytics transformation initiatives within Procurement.

Initially the role will focus on supporting the AMEA (Asia Middle East & Africa) region building deep expertise in regional procurement data analytics needs and governance requirements. As the role evolves the scope will expand to support additional regions and broader global Procurement analytics needs.
Working cross-functionally with Procurement Finance Supply Chain Technology and external partners the role ensures that procurement data is trusted accessible and effectively leveraged to deliver business value.

How you will contribute

Data Analytics & Insights

• Develop and deliver analytics reports and insights to support Procurement decision-making and operational performance with an initial focus on the AMEA global data analytics tools (e.g. Sievo) and support the continuous development of these platforms to reflect the specific needs and priorities of the AMEA region.
• Analyze large and complex datasets to identify trends risks opportunities and performance improvement initiatives.
• Apply statistical analysis data modelling visualization and business intelligence techniques to support business objectives.
• Translate analytical findings into clear concise business recommendations for stakeholders.
• Support continuous improvement through automation simplification and optimization of analytics processes and reporting.

Data Science & Digital Enablement

• Contribute to the development and deployment of advanced analytics predictive models and digital solutions within Procurement.
• Partner with internal and external teams to identify and implement analytics use cases and scalable data solutions.
• Leverageapproved MDLZ analytics and data science toolsto improve decision support operational effectiveness and productivity.
• Contribute to the evolution of Procurement analytics capabilities tools and ways of working.

Data Strategy & Governance

• Support the implementation and adoption of enterprise data governance standards within Procurement initially for the AMEA region.
• Assist in defining and maintaining business definitions data quality rules and governance documentation aligned with enterprise standards.
• Partner with Data Owners Data Stewards business stakeholders and technical teams to improve data quality and governance maturity.
• Monitor data quality controls validation processes and governance metrics.
• Support the maintenance and continuous improvement of data catalogues business glossaries and governance processes.
• Support stakeholder engagement governance adoption and awareness across Procurement teams.

Stakeholder Collaboration

• Collaborate with cross-functional stakeholders to understand business priorities and translate them into analytics and data solutions.
• Coordinate with internal analytics teams technology partners and external providers to support value delivery.
• Assist in providing training and enablement to Procurement users on analytics tools data usage and governance practices.
• Support change management and user adoption activities related to analytics and data initiatives.

What you will bring

A desire to drive your future and accelerate your career with experience and knowledge in:

• Bachelors degree in Data Analytics Business Engineering Information Systems Supply Chain Procurement or a related field.
• Solid experience in data analytics business intelligence data governance or data science roles.
• Experience working within Procurement Supply Chain or other related business functions is preferred.
• Strong knowledge of analytics and visualization tools such as Power BI Tableau Alteryx SQL or similar technologies.
• Understanding of data governance principles data quality management and enterprise data frameworks.
• Familiarity with enterprise data platforms data catalogues or governance tools such as Ataccama Collibra or equivalent.
• Strong analytical and problem-solving capabilities with the ability to work with complex datasets and business challenges.
• Good communication and stakeholder engagement skills across technical and non-technical audiences.
• Ability to work in fast-paced matrixed and global environments.
• Experience supporting digital transformation ERP or enterprise data initiatives is considered an advantage.

-

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion gender sexual orientation or preference gender identity national origin disability status protected veteran status or any other characteristic protected by law.