manager, procurement data science and analytics (f/m/x)

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Key Responsibilities

Data Analytics & Insights

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

• Analyzelarge and complex datasets toidentifytrends, risks, opportunities, and performance improvement initiatives.

• Apply statistical analysis, data modelling, visualization, and business intelligence techniques to support businessobjectives.

• 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 toidentifyand 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 andmaintainbusiness 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 andmonitordata 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 DataAnalytics, Business, Engineering, Information Systems, Supply Chain, Procurement, ora relatedfield.

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

• Experience working within Procurement, Supply Chain, or otherrelatedbusiness functions.

• Strong knowledge of analytics and visualization tools such as Power BI, Tableau, Alteryx, SQL, or similar technologies.

• Understanding ofdata governance principles, data quality management, and enterprise data frameworks.

• Familiarwith enterprise data platforms, data catalogues, or governance tools such asAtaccama, 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 communicationand storytelling capabilities using data.

• Comfortable operating in environments with ambiguity and evolving priorities.