Head of Analytics

Job Purpose

Advanced Analytics Leadership

• Establish and lead the Advanced Analytics Center of Excellence (CoE), defining the analytics vision, strategy, roadmap, governance, and operating model.
• Build, lead, and develop a high-performing team of Data Scientists, Analysts, Data Engineers, and Visualization Specialists.
• Drive the adoption of advanced analytics, artificial intelligence, machine learning, and data-driven decision-making across the organization.
• Act as the organization's subject matter expert on advanced analytics, AI, forecasting, and optimization.

Analytics & AI Solutions

• Develop and deploy advanced analytics, forecasting, optimization, and AI solutions that drive business growth, operational efficiency, and profitability.
• Lead analytics initiatives across Customer & Growth, Marketing ROI, Personalization, Sales Forecasting, Pricing & Menu Optimization, Promotions Effectiveness, Workforce Planning, Logistics Optimization, and Store Operations.
• Deliver predictive and prescriptive insights that improve customer acquisition, retention, revenue growth, margin optimization, operational performance, and workforce productivity.
• Ensure analytics outputs are actionable, commercially relevant, and aligned with strategic business priorities.

Enterprise Data & Analytics Foundations

• Establish scalable, high-quality data foundations that enable advanced analytics and AI initiatives.
• Lead the integration of customer, operational, commercial, financial, digital, delivery, and workforce data across enterprise platforms.
• Define and govern enterprise KPIs, business metrics, data standards, and data quality frameworks.
• Ensure consistency, integrity, and alignment across source systems, analytical models, and reporting environments.
• Support the development of an enterprise-wide analytics architecture that enables self-service analytics and scalable decision intelligence.

Business Partnership & Decision Intelligence

• Partner with senior stakeholders to identify, prioritize, and deliver high-value analytics and AI opportunities.
• Lead analytics initiatives from problem definition through implementation, adoption, and value realization.
• Establish experimentation and testing frameworks, including A/B testing, to support evidence-based decision-making.
• Drive adoption of analytics products, insights, dashboards, and decision-support tools across the business.
• Measure and communicate business impact generated through analytics and AI initiatives.

Governance & Best Practices

• Define standards and best practices for analytics development, machine learning deployment, experimentation, model governance, and analytics documentation.
• Ensure compliance with data privacy, security, governance, and responsible AI principles.
• Partner with Technology, Data Engineering, and IT teams to ensure sustainable, scalable, and secure analytics capabilities.

Team Leadership & Capability Building

• Recruit, coach, mentor, and develop high-performing analytics talent.
• Build future-ready capabilities across analytics, forecasting, data science, machine learning, and artificial intelligence.
• Foster a culture of innovation, ownership, collaboration, and continuous improvement.
• Promote knowledge sharing and analytics capability development across the organization.

Education & Experience

• Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics, Analytics, or a related quantitative discipline.
• Master's Degree in Data Science, Analytics, Artificial Intelligence, Statistics, Engineering, Economics, or Business Administration preferred.
• 10+ years of progressive experience in Analytics, Data Science, Business Intelligence, Artificial Intelligence, or related fields.
• Proven experience leading advanced analytics teams and delivering enterprise-wide analytics initiatives.
• Experience within QSR, F&B, Retail, Consumer Goods, E-commerce, Hospitality, or multi-site operations environments preferred.
• Demonstrated success translating analytics into measurable commercial and operational outcomes.

Technical Skills

• Strong expertise in statistics, predictive analytics, machine learning, forecasting, optimization, and data modeling.
• Hands-on experience with Python, SQL, and modern analytics platforms.
• Proficiency in data visualization and business intelligence tools such as Power BI, Tableau, or equivalent.
• Experience working with Customer Data Platforms (CDPs), cloud-based data environments, and enterprise data ecosystems.
• Strong knowledge of customer analytics methodologies including segmentation, cohort analysis, customer lifetime value (LTV), churn prediction, and retention modeling.
• Experience with marketing analytics, pricing analytics, experimentation frameworks, A/B testing, and demand forecasting.
• Understanding of AI, machine learning lifecycle management, and model deployment best practices.

Skills & Competencies

• Strong business and commercial acumen with the ability to translate analytics into measurable business value.
• Strategic thinker with the ability to balance long-term vision and execution.
• Excellent stakeholder management and influencing skills across all organizational levels.
• Strong problem-solving, analytical thinking, and decision-making capabilities.
• Ability to communicate complex analytical concepts and insights to non-technical audiences.
• Strong leadership, coaching, and team development capabilities.
• Excellent project, portfolio, and prioritization management skills.
• Collaborative mindset with the ability to work effectively across functions and markets.
• High level of curiosity, innovation, and continuous improvement orientation.