Director - Data and Intelligence
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Key skills for this role
About the Role
GMG seeks a visionary Director of Data and Intelligence to lead data strategy, analytics, and BI in a retail environment. The role involves driving data-driven decision-making using AI/ML, overseeing data platforms, and collaborating with executive leadership.
Key Skills for This Role
Responsibilities
- Define and execute the enterprise wide data and intelligence strategy
- 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
- Partner with senior leadership to integrate data driven decision making
- Champion a data first culture ensuring data governance, quality, and security
- Develop advanced predictive and prescriptive analytics for pricing, inventory, demand forecasting, and personalization
- Leverage AI/ML models for customer segmentation, recommendation engines, and loyalty programs
- Provide insights into omnichannel retail performance
- Analyze market trends, competitive intelligence, and customer behavior
- Oversee selection, implementation, and optimization of data platforms
- Drive adoption of modern data stack (ETL, data lakes, real time analytics)
- Ensure seamless integration of data across POS, CRM, ERP, and supply chain systems
Requirements
- 15+ years of experience in data science, analytics, or business intelligence
- At least 5 years in a leadership role
- Deep retail industry expertise (merchandising, supply chain, e commerce, customer analytics)
- Expertise in developing AI Data and 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
Full Job Posting
Role Summary
- Seeking a visionary Director of Data and Intelligence to lead data strategy, analytics, and business intelligence initiatives in a fast paced retail environment. Drive data driven decision making using advanced analytics, AI/ML, and BI tools. Collaborate with executive leadership, merchandising, mar
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.
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.
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