Head of Data Transformation

ABB; Milton Keynes; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

Job summary

ABB Robotics seeks a senior leader to drive enterprise data transformation, building the strategy and capabilities that establish data as a trusted foundation for business transformation, analytics and AI. You will work with senior leaders to translate priorities into an integrated Data Strategy and roadmap across ABB Robotics globally.

The role requires 12+ years leading data strategy in a complex global organization, with strong governance, MDM and data platforms expertise, and the ability to

Qualifications

• Bachelor's or Master's degree in Business, Engineering, Computer Science, Data Management or related.
• 12+ years' experience leading enterprise data strategy or data transformation in a complex global organization, including governance and organizational capabilities.
• Strong understanding of data governance, Master Data Management and data quality, plus enterprise data platforms, architecture, ERP, analytics and AI data requirements.
• Proven ability to lead across business, process, data and technology boundaries and influence senior stakeholders.

Responsibilities

• Define and drive the enterprise Data Strategy: translate priorities into a focused strategy, capability roadmap and measurable outcomes.
• Establish the enterprise data operating model and governance across data domains with ownership and stewardship.
• Develop enterprise data capabilities: governance, MDM, data quality, accessibility, reuse and trusted data foundations for analytics and AI.
• Embed data into enterprise transformation to reduce fragmentation and enable reusable capabilities.
• Shape data foundations for future tech and AI by aligning with IS and architecture teams.
• Build a sustainable Data Transformation capability with clear interfaces to Analytics, AI Transformation, Global Process Owners and IS.

Skills

Data strategy

Data governance

Master Data Management

Data quality

Analytics

AI

Stakeholder management

Enterprise data platforms

ERP

Architecture

Education

Bachelor's or Master's degree in Business, Engineering, Computer Science, Data Management or related

Job description

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-­generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-­class experts in a fast-­moving, innovation-­driven environment.

This Position reports to: Business Transformation Manager

In this role, you will lead enterprise-­wide Data Transformation for ABB Robotics, defining the strategy and building the capabilities required to establish data as a trusted enterprise foundation for business transformation, operational performance and digital and AI-­enabled capabilities.

Working closely with senior business leaders, Global Process Owners, IS and functional stakeholders, you will translate business and transformation priorities into an integrated enterprise Data Strategy and roadmap. You will establish the governance, operating model and capabilities required to improve how data is governed, managed, shared and used across ABB Robotics globally.

The location is within Europe.

Working model is hybrid

Your responsibilities:

• Define and drive the enterprise Data Strategy: Translate ABB Robotics’ business and transformation priorities into a focused Data Strategy, capability roadmap and measurable outcomes.
• Establish the enterprise data operating model and governance: Build the enterprise data operating model, including data domains, ownership, stewardship, common principles and cross-domain decision mechanisms, in partnership with business owners, Global Process Owners and IS.
• Develop enterprise data capabilities: Drive the coordinated development of data governance, Master Data Management, data quality, accessibility, reuse and the trusted data foundations required for Business Analytics and AI.
• Embed data into enterprise transformation: Ensure data requirements and dependencies are addressed consistently across major business and platform transformations, reducing fragmentation and promoting reusable enterprise capabilities.
• Shape data foundations for future technology and AI: Define strategic data capability requirements and work with IS and architecture teams to ensure the technology landscape supports the enterprise Data Strategy.
• Build a sustainable Data Transformation capability: Establish the organization, specialist capabilities and ways of working required to execute the Data Strategy, with clear interfaces to Business Analytics, Enterprise AI Transformation, Global Process Owners and IS.

Your background:

• 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' experience leading enterprise data strategy or data transformation in a complex global organization, including the development of data operating models, governance and organizational capabilities.
• Strong understanding of data governance, Master Data Management and data quality, combined with a solid understanding of enterprise data platforms, architecture, ERP, analytics and AI data requirements.
• Proven ability to lead across business, process, data and technology boundaries, influence senior stakeholders and drive enterprise-­wide change in complex transformation environments.
• Strategic and outcome-­oriented mindset with pragmatic execution, strong communication and organizational capability-­building skills.

We value people from different backgrounds.