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Company Information
As an organisation we put people living with bladder and bowel conditions at the heart of everything we do and we believe that people should never miss out on life because of a health condition. People are the driving force behind our success and as a growing organisation, we recognise the importance and the impact of uniting around a shared vision or a common goal.
Based in the UK and employing over 1000 people across the UK, Europe, China and India; Clinisupplies manufactures medical devices specialising in bladder and bowel products. In the UK, Clinisupplies sells products directly to the NHS and delivers products direct to patients via our Nightingale Home Delivery Service. Our products are also supported by a team of bladder and bowel nurses who are there to be a supportive hand when and where healthcare professionals and patients need it.
With three UK acquisitions in the last three years alone, Clinisupplies is a fast paced, organisation with ambitious growth targets. Acquisitions and a focus on new product development provides a strong pipeline that enables us to bring innovation to the market.
Role Purpose
This role is responsible for defining and owning the organisation’s data architecture while delivering advanced data science and AI-driven solutions to improve commercial and operational decision-making.
The position will establish a scalable, governed data foundation and translate business challenges into high-impact analytical use cases. While accountable for architecture and outcomes, delivery will be enabled through collaboration with the Global Capability Centre (GCC) team.
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Personal Profile
- Strong analytical awareness with the ability to connect data to business outcomes
- Comfortable operating in ambiguity and building from scale-up environments
- Able to balance strategic thinking with hands-on delivery
- Strong stakeholder engagement and communication skills
- Pragmatic, outcome-focused, and solutions-driven
- Natural bridge between business, data, and technology
Leadership & Ways of Working
- Matrix leadership with the GCC BI team and a dotted-line responsibility for Data Engineer(s)
- Works cross-functionally with Commercial, Operations, Finance, and IT
- Acts as the bridge between data architecture ownership and value realisation driven insights.
Key Responsibilities
1. Data Architecture Ownership
- Define and own the enterprise data architecture, including data models, integration patterns, and platform design supported by GCC BI team.
- Establish a scalable, future-ready data environment aligned to business strategy
- Ensure architecture supports advanced analytics, AI, and reporting capabilities
2. Data Governance & Standards
- Establish and enforce data governance frameworks across all key data domains
- Ensure data quality, consistency, and integrity across systems
- Drive the creation of a single source of truth across commercial and operational data
- Ensure compliance with regulatory expectations in a medical/healthcare environment
3. Advanced Analytics & Data Science
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- Design, develop, and deploy predictive and prescriptive analytics solutions
- Apply machine learning and AI techniques to solve business problems
- Develop use cases such as forecasting, segmentation, demand planning, and optimisation
- Leverage modern AI capabilities to enhance decision-making and automation
4. Business Translation & Use Case Delivery
- Partner with the business and GCC to identify and prioritise data opportunities
- Translate business challenges into structured data science and analytics solutions
- Leverage Self-Service capabilities in available solutions like Qlik
- Ensure delivery of measurable business impact through analytics
- Build a clear and prioritised pipeline of high-value use cases
5. Technical Leadership & Delivery Alignment
- Provide technical direction to data engineering and GCC delivery teams
- Ensure alignment between architecture design and implementation
- Maintain oversight of delivery quality, scalability, and consistency
- Enable efficient execution while retaining architectural integrity
Experience & Background
- Proven experience in data science and strong demonstrable experience in data architecture
- Experience owning or shaping data strategy or architecture in a complex environment
- Demonstrated ability to deliver business-impacting analytics solutions
- Experience working in cross-functional, matrixed organisations
- Background in regulated industries (e.g. healthcare, medical, pharmaceutical) is highly beneficial
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