Head of Data Transformation

About the role

This role leads enterprise-wide Data Transformation for ABB Robotics, a leading global robotics company, reporting to the Business Transformation Manager. You will define the strategy and build the capabilities needed to make data a trusted foundation for business transformation, operational performance and digital and AI-enabled capabilities. The position is based in Europe, with a hybrid working model.

Key responsibilities

• Define and drive the enterprise Data Strategy, turning business and transformation priorities into a focused strategy, capability roadmap and measurable outcomes.
• Establish the enterprise data operating model and governance, including data domains, ownership, stewardship, common principles and cross-domain decision mechanisms, together with business owners, Global Process Owners and IS.
• Develop data capabilities covering data governance, Master Data Management, data quality, accessibility, reuse and the trusted data foundations needed for Business Analytics and AI.
• Embed data requirements and dependencies consistently across major business and platform transformations, reducing fragmentation and promoting reusable capabilities.
• Shape data foundations for future technology and AI by working with IS and architecture teams so the technology landscape supports the Data Strategy.
• Build a sustainable Data Transformation capability with the organisation, specialist capabilities and ways of working needed to execute the strategy, with clear interfaces to Business Analytics, Enterprise AI Transformation, Global Process Owners and IS.

Required profile

• Bachelor's or Master's degree in Business, Engineering, Computer Science, Data Management or a related discipline; advanced business or technical qualifications are an advantage.
• 12+ years of experience leading enterprise data strategy or data transformation in a complex global organisation, including developing data operating models, governance and organisational capabilities.
• Proven ability to lead across business, process, data and technology boundaries, influence senior stakeholders and drive enterprise-wide change.

Required skills

• Strong understanding of data governance, Master Data Management and data quality.
• Solid understanding of enterprise data platforms, architecture, ERP, analytics and AI data requirements.
• Strategic, outcome-oriented mindset with strong communication and capability-building skills.