Senior Data Manager

Job Description

Your role

• •Own data quality: Define standards, controls, KPIs and improvement priorities, and drive measurable improvements in accuracy, completeness, consistency and reliability.
• •Investigate complex issues: Use advanced analytics to identify anomalies, inconsistencies, missing or incorrect data and their underlying causes.
• •Drive root-cause resolution: Work across processes, applications, interfaces and data flows to implement sustainable corrective and preventive solutions.
• •Lead analytics and data science: Translate complex business questions into analysis, models, insights and decision-support solutions.
• •Shape and support the technology landscape: Collaborate closely with internal Group IT and all solution providers across the application landscape to develop, maintain, improve and support data-management actions and solutions spanning ERP, databases, interfaces, cloud platforms, data pipelines and reporting environments.
• •Deliver end-to-end transformation: Lead data and technology projects from problem definition and architecture through implementation, adoption and outcome measurement.
• •Automate monitoring and controls: Develop scalable data-quality monitoring and exception management using automation, advanced analytics and AI where they create measurable value.
• •Develop BI solutions and turn data into decisions: Work with Group IT, business stakeholders and solution providers to design, build, maintain and continuously improve BI solutions, data views, dashboards and reports that deliver clear executive insights and actionable recommendations.
• •Lead international teams: Set clear accountability, coach technical talent and build a high-performance culture across remote and geographically distributed resources.
• •Influence senior stakeholders: Act as a credible bridge between business, data, technology and management teams.

Job Description - Grade Specific

Your profile

• •Significant experience in data management, data quality, analytics and/or data science, ideally in a large multinational organization.
• •Strong hands-on analytical capability, including advanced SQL and experience with large, complex datasets.
• •Strong understanding of enterprise IT architecture, data models, databases, integrations, APIs and data pipelines.
• •Experience with major enterprise systems, ideally SAP S/4HANA and/or Oracle E-Business Suite.
• •Experience with Microsoft Azure and/or Google Cloud Platform and modern cloud data environments.
• •An advanced analytical toolkit, ideally including Python, R, Mathematica, Power BI and advanced Excel, or comparable technologies.
• •Proven project or program management experience delivering complex data, IT or transformation initiatives.
• •Demonstrated people-management experience, including geographically distributed and remote teams.
• •Excellent stakeholder management, executive communication and the confidence to challenge existing processes and solutions.
• •Significant international and multicultural experience, with fluent professional English.