Transformative Data Leader
A seasoned data science professional is sought to shape the organisation's approach to data-driven decision-making.
This strategic role involves establishing and executing a groundbreaking strategy that harnesses the power of data storytelling, driving insights and innovation across the globe.
The successful candidate will lead a talented team of data scientists and business intelligence specialists, guiding them in uncovering the stories hidden within our data.
As the head of Data Science and Visualisation, you will be at the forefront of our Data Science and Business Intelligence functions, influencing internal processes and advocating for the value of data-driven insights at all levels of the organisation.
You will collaborate with senior leadership and key stakeholders to identify opportunities where data science or visualizations can create significant value, ensuring that our initiatives align with our overarching business objectives.
About This Role:
* To lead a high-performance team that enables the organisation to unlock increasing value from its data through analytics and AI.
* To be supported by a strong team of experts in Data Engineering, Architecture, Analysis, and Project Delivery who will work with you collaboratively to achieve the goals of your team.
* The ability to shape this new capability for the organisation.
Your Key Responsibilities:
* Strategic Leadership – guide and mentor a diverse team of 25 data scientists and business intelligence specialists, promoting professional development and encouraging ongoing learning and innovation.
* Data-Driven Decision Making – advocate for the value of data-driven insights across all levels of the organisation, including how you manage your team.
* Thought Leadership – explain the capabilities of your team to the broader organisation and enable the art of the possible.
* Cross-Functional Collaboration – engage senior leadership and key stakeholders to identify business challenges and opportunities where data can drive value and with IT, operations, product and other departments to ensure seamless integration of data initiatives into business processes and systems.
* Innovation and Best Practices – develop and execute a comprehensive MLOps strategy including model creation (classical ML, Fine-tuning LLM or Distillation), evaluation, and deployment, that aligns with the organisation's overall business objectives and enhances decision-making capabilities.
* Ethical AI Usage – abide by and champion enterprise frameworks to ensure AI compliance with relevant regulations.