Manager, Procurement Data Science and Analytics (F/M/X)

Job Description

Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

Key Responsibilities

Data Analytics & Insights

• Develop and deliver actionable analytics, digital solutions, and insights to support Procurement decision-making and operational performance.

• 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 complex analytical findings into clear business recommendations for senior stakeholders.

• Support continuous improvement through automation, simplification, and optimization of analytics processes and reporting.

Data Science & Digital Enablement

• Support 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.

• Leverage modern analytics and data science capabilities to improve forecasting, decision support, and operational effectiveness.

• 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.

• Define and maintain 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.

• Establish and monitor data quality controls, validation processes, and governance metrics.

• Support the maintenance and continuous improvement of data catalogues, business glossaries, and governance processes.

• Drive stakeholder engagement, governance adoption, and awareness across Procurement teams.

Stakeholder & Team 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 maximize value delivery.

• Provide guidance, 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.

Required Skills & Experience

• Bachelor’s degree in Data Analytics, Business, Engineering, Information Systems, Supply Chain, Procurement, or a related field.

• Strong experience in data analytics, business intelligence, data governance, or data science roles.

• Experience working within Procurement, Supply Chain, or other related business functions.

• 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.

• Familiar 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 manage complex datasets and business challenges.

• Excellent stakeholder management, communication, and influencing 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.

Preferred Competencies

• Data-driven mindset with strong business acumen.

• Ability to balance strategic thinking with hands-on execution.

• Strong collaboration and cross-functional leadership skills.

• Continuous improvement and transformation mindset.

• Strong communication and storytelling capabilities using data.

• Comfortable operating in environments with ambiguity and evolving priorities.

More about this role

This is a Global Position. The locations listed above serve as reference points; the opportunity is open to talented candidates worldwide and is not restricted to these specific regions.

No Relocation support available

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

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.

Job Type

Regular

Data Science

Analytics & Data Science