
Head of Data Science, AI and Data Visualisation
- United Kingdom
- Permanent
- Full-time
- Define and maintain the enterprise-wide AI Framework, ensuring alignment with business priorities and ethical standards.
- Lead the development and implementation of a Responsible AI framework that is fit for purpose and scalable across pladis.
- Drive the Buy vs Build decision-making process for AI solutions, balancing innovation, cost, and speed to value.
- Identify, prioritise, and deliver high-value AI use cases across global and regional business functions.
- Collaborate with product owners, data engineers, and business stakeholders to ensure successful deployment and adoption of AI solutions.
- Monitor and report on the impact of AI initiatives, including business value, user adoption, and model performance.
- Lead the education and training of the pladis workforce in AI and data science, fostering a culture of data-driven innovation.
- Establish and grow a thriving Community of Practice for Data Science and AI, promoting knowledge sharing and cross-functional collaboration.
- Act as a thought leader and internal champion for AI, representing pladis in external forums and staying ahead of emerging trends.
- Define and enforce visualisation standards and best practices to ensure consistency, clarity, and impact in reporting.
- Lead the upskilling of the pladis workforce in Power BI, including training, mentoring, and certification pathways.
- Oversee the development of enterprise dashboards and self-service analytics capabilities that empower decision-makers at all levels.
- Proven experience in leading data science and AI teams in a global, matrixed organisation.
- Strong understanding of AI/ML lifecycle, MLOps, and responsible AI principles.
- Expertise in data visualisation, particularly with Power BI, and a passion for storytelling with data.
- Demonstrated ability to influence senior stakeholders and drive cross-functional initiatives.
- Experience in building communities of practice and leading capability development programme
We will not accept CVs from any other sources other than those currently on our PSL. We will not pay a fee for any candidate that has not been represented by a provider on our PSL.