Location: UK - Hatfield | Job-ID: 215349 | Contract type: Standard | Business Unit: Data Management/Reporting

ESSENTIAL SKILLS:

• In‑depth business analysis – eliciting, documenting and validating requirements and business processes
• Proven experience with business and operating models, for example GIS operating model
• Familiarity with industry frameworks and best‑practice processes, for example ITIL
• Strong stakeholder engagement and facilitation skills, including workshops and process mapping
• Thorough understanding of data management principles – data governance, data quality management and data security practices
• Ability to translate business needs into clear, prioritised user stories for delivery teams

ABOUT US

With over 20,000 employees across the globe, we work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology, and helping our customers to source, transform and manage their technology infrastructure in over 70 countries. We deliver digital technology to some of the world’s greatest organisations, driving digital transformation, enabling people and their business

As a Senior Data Consultant, you will play a key role in shaping and delivering data solutions that support business strategy. You will lead the definition of complex data requirements, guide prioritisation across the backlog, and mentor others within the team. Your focus will be on aligning data initiatives with business value, driving collaboration, and ensuring clear communication throughout delivery. You will:

• Lead requirements definition (30%): Work with senior stakeholders, SMEs and Data Stewards to define and document complex, high-level business and technical data requirements.
• Guide backlog prioritisation (10%) Take ownership of the product backlog, ensuring priorities reflect both near-term needs and long-term strategic goals.
• Business Process Integration (20%): Analyse and map complex business processes to identify opportunities for optimisation and efficiency.
• Uphold documentation standards (10%): Ensure documentation is clear, consistent, and fit for purpose across all stages of the delivery lifecycle. Champion the use of standardised reporting and artefacts that support governance, transparency, and traceability.
• Run effective refinement sessions (10%): Lead backlog refinement sessions with delivery teams to ensure user stories are actionable, well understood, and linked to measurable outcomes. Promote business process thinking to ensure initiatives support operational improvement as well as data maturity.
• Promote collaboration and mentorship (10%): Act as a senior member of the Data Competency Centre, supporting collaboration between business and technical teams.
• Manage risk and stakeholders (10%): Proactively identify, communicate and manage risks across the data pipeline.