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About the Role

Partner with Business, Technology, and Risk teams to design and implement Data Management capabilities that enable consistent, scalable, and sustainable practices across the Group. Understand business problems, define future-state capabilities, translate requirements into practical solutions, and support the adoption of enterprise Data Management standards. Act as the link between business and technical teams to shape operating approaches, influence solution design, and ensure Data Management capabilities deliver meaningful business outcomes.

Responsibilities

Design and implement Data Management capabilities
Understand business problems
Define future-state capabilities
Translate requirements into practical solutions
Support the adoption of enterprise Data Management standards
Shape operating approaches
Influence solution design
Ensure Data Management capabilities deliver meaningful business outcomes

Requirements

Passionate about solving business problems through better Data Management
Experienced in working across business and technology teams to deliver enterprise capabilities
Skilled at analysing business processes, identifying opportunities and translating requirements into practical solutions
Comfortable facilitating workshops and engaging stakeholders to build consensus and drive outcomes
Able to simplify complex problems and communicate effectively with both technical and non-technical audiences
Experienced in delivering change across large, complex organisations
Strong collaborators who influence without direct authority
Curious, pragmatic and outcomes-focused with a continuous improvement mindset
Experience in Business Analysis, Data Analysis, Data Management, Technology Delivery or Business Transformation
Knowledge of Data Governance, Metadata Management, Data Quality or Data Lineage concepts
Experience defining business requirements, user stories, process improvements or capability roadmaps
Exposure to enterprise Data Management platforms such as Collibra, Informatica, Microsoft Purview or similar technologies
Understanding of modern data ecosystems and cloud-based data platforms
Experience working in Agile, product or transformation delivery environments
Strong facilitation, stakeholder management and problem-solving skills
Ability to balance strategic thinking with hands-on delivery

Skills

Data Management
Business Analysis
Data Analysis
Technology Delivery
Business Transformation
Data Governance
Metadata Management
Data Quality
Data Lineage
Agile methodologies
Stakeholder management
Problem-solving
Facilitation
Communication

Location

Hybrid

Work Type

Hybrid
Flexible working options

Experience Level

Manager

Benefits

Flexibility to balance where work is done
At least half their time each month connecting in office
Changing start and finish times
Part-time arrangements
Job share

About the Company

The Chief Data and AI Office (CDAIO) leads the Group's enterprise Data, Analytics and AI strategy, enabling better customer outcomes through trusted data and modern capabilities.
The Enterprise Data Management Centre of Excellence partners with Business, Technology and Risk teams to establish consistent Data Management capabilities, standards and practices that can be adopted across the Group.