Director Data and Intelligence

Who we are:

GMG is a global well-being company retailing distributing and manufacturing a portfolio of leading international and home-grown brands across sport everyday goods health and beauty properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years GMG is a valued partner of choice for the worlds most successful and respected brands in the well-being sector. Working across the Middle East North Africa and Asia GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun & Sand Sports Dropkick Supercare Pharmacy Farm Fresh Klassic and international brands like Nike Columbia Converse Timberland Vans Mama Sitas and McCain.

Role Summary:
We are seeking a visionary Director of Data and Intelligence to lead our data strategy analytics and business intelligence initiatives in a fast-paced retail environment. This role will drive data-driven decision-making across the organization by leveraging advanced analytics AI/ML and business intelligence tools. The ideal candidate will have a deep understanding of retail operations customer behavior supply chain and merchandising combined with strong technical expertise in data platforms AI and predictive modeling.

As a key leader within the Technology team you will collaborate with executive leadership merchandising marketing supply chain and store operations to unlock insights that enhance customer experience optimize operations and drive revenue growth.

Responsibilities:

Data Strategy & Leadership

Define and execute the enterprise-wide data and intelligence strategy ensuring alignment with business goals.

Lead team to create policy and guardrails for safe usage of AI at GMG

Lead a high-performing team of data scientists engineers and analysts to deliver actionable insights.

Partner with the senior leadership to integrate data-driven decision-making into all aspects of the retail business.

Champion a data-first culture ensuring data governance quality and security best practices.

Business & Retail Analytics

Develop advanced predictive and prescriptive analytics to optimize pricing inventory demand forecasting and customer personalization.

Leverage AI/ML models to enhance customer segmentation recommendation engines and loyalty programs.

Provide insights into omnichannel retail performance including e-commerce in-store and mobile commerce.

Analyze market trends competitive intelligence and customer behaviour to identify growth opportunities.

Technology & Data Infrastructure

Oversee the selection implementation and optimization of data platforms (e.g. cloud data warehouses BI tools CDPs).

Drive the adoption of modern data stack (ETL data lakes real-time analytics) to enable scalable insights.

Ensure seamless integration of data across POS CRM ERP and supply chain systems.

Evaluate and implement AI/ML solutions to automate and enhance retail operations.

Stakeholder Collaboration

Partner with Marketing to optimize customer acquisition retention and personalized campaigns.

Work with Merchandising & Supply Chain to improve demand forecasting and inventory efficiency.

Support Store Operations with workforce analytics and performance optimization.

Collaborate with IT & Engineering to ensure scalable and secure data architecture.

People Management

The incumbent holds no direct supervisory responsibilities but is expected to engage effectively within their function and collaboratively across cross-functional teams. This role contributes meaningfully whether through operational contributions and/or by offering specialized expertise guidance and support to ensure alignment with either functional and/or strategic organizational goals and objectives.

Technical Competencies:

Strategic thinking and data leadership

Advanced analytics and predictive modeling

Data architecture and infrastructure design

AI/ML model deployment in a retail setting

Business intelligence and reporting (Power BI Tableau)

Cloud data platforms (AWS Azure GCP) Languages SQL Python R

Excellent stakeholder management and communication

Strong program and team management

Experience:

15 years of experience in data science analytics or business intelligence with at least 5 years in a leadership role.

Deep retail industry expertise (e.g. merchandising supply chain e-commerce customer analytics).

Expertise in developing AI Data experience in handling enterprise -scale data systems.

Proven track record of building scalable data platforms and deploying predictive analytics in retail.

Experience with cloud platforms (AWS Azure GCP) and real-time data processing.