Senior Analytics Director
London (Hybrid - 2x Days a Week in Office)
£160,000-£170,000
If you're an experienced Analytics Leader looking for an opportunity to shape the future of AI, data and analytics within a complex global organisation, this is a chance to take ownership of a major digital transformation agenda, lead a sizeable multidisciplinary team and influence strategic decision-making at the highest level!
The Company
A strategically important joint venture between two of the world's largest organisations across retail and pharmaceuticals is looking to appoint a Senior Analytics Director. Operating within a highly complex global sourcing environment, the organisation brings together the expertise and purchasing power of its parent businesses to transform pharmaceutical procurement, optimise costs and ensure reliable supply across international markets. Despite having a relatively lean workforce, the business operates at considerable scale, with access to enormous volumes of commercial, operational, supplier and market data. With significant investment and ambition around its digital strategy, AI and advanced analytics, this is an opportunity to take a leading role in shaping how data is used to drive commercial value and operational efficiency.
The Role
As Senior Analytics Director, you will take ownership of the organisation's data, analytics and AI strategy, leading a multidisciplinary team of approximately 18 people across analytics, data science and data engineering. Reporting directly to the COO and sitting within the extended leadership team, you will have two senior direct reports, including the Heads of Analytics and Data Engineering. You will be responsible for defining and executing the organisation's digital and AI roadmap, working closely with senior stakeholders across the business and its parent organisations to identify opportunities where data, technology and AI can deliver meaningful commercial and operational improvements. This is a broad leadership position, with exposure to everything from customer and commercial analytics through to supply chain optimisation, pricing intelligence and predictive modelling.
Some of the key areas you'll focus on include:
- AI & Digital Transformation: Lead the execution of the digital and AI roadmap, identifying opportunities to automate processes, improve decision-making and embed AI across the organisation.
- Commercial & Pricing Analytics: Develop advanced analytical capabilities to support pharmaceutical pricing negotiations, supplier selection and procurement strategies.
- Predictive Analytics: Explore opportunities to use machine learning and advanced analytics to anticipate supply chain disruption, including geopolitical risks, natural disasters and potential supplier shortages.
- Operational Analytics: Work closely with R&D, sourcing and distribution stakeholders to improve processes, identify inefficiencies and drive better operational outcomes.
- Data Strategy: Establish the long-term direction for data, analytics and AI, ensuring capabilities are aligned with wider business priorities.
- Leadership: Lead and develop a team of approximately 18 across analytics, data science and engineering, building capability and creating a high-performing function.
- Stakeholder Management: Build strong relationships across both parent organisations, influencing senior stakeholders and ensuring data and AI initiatives translate into measurable business value.
Your Skills & Experience
- Significant experience leading Data, Analytics or AI functions within a large, complex organisation.
- A strong background in analytics, with experience spanning areas such as commercial analytics, customer analytics, operational analytics or advanced analytics.
- Proven experience leading multidisciplinary teams, ideally across Analytics, Data Science and Data Engineering.
- A track record of developing and executing data, analytics and AI strategies at an organisational level.
- Experience identifying and delivering practical AI and machine learning use cases that generate tangible commercial or operational value.
- The ability to operate strategically while retaining an understanding of the technical capabilities required to deliver transformation.
- Exceptional stakeholder management skills, with experience influencing senior executives and navigating complex, matrixed organisations.
Experience within retail, pharmaceuticals, healthcare, supply chain or other large-scale operational environments would be advantageous, although candidates from broader data-led industries will also be considered. A background in data engineering would be beneficial, but the priority is finding a commercially minded analytics leader who can bring together different disciplines and drive the wider strategy.
The Benefits
How to Apply
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
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