Michael Page Hiring! Full Time Head of Data and Analytics in Federal Territory - Ricebowl

• Opportunity to Lead an AI-First Transformation
• Exposure to Southeast Asia's Fast-Growing Ecommerce Market
  
  

About Our Client

Our client is a leading digital commerce and technology company operating across Southeast Asia, helping global and regional brands accelerate their ecommerce growth through a combination of technology, data, marketing, and marketplace solutions. They are investing heavily in AI and advanced analytics to build next-generation intelligent platforms that drive smarter decision-making, automation, and business growth

Job Description

You will:

• Own the end-to-end data, analytics, and AI strategy
• Build a platform that shifts the company from reporting → insights → actions → autonomous optimization
• Enable both internal teams and external clients with self-serve, AI-powered decision-making tools
• Partner closely with Product, Engineering, and Business teams to embed intelligence into every workflow
  
  

This Role Requires Someone Who Is Equally Comfortable

• Defining data + AI strategy at the leadership level
• Designing modern data and ML architectures
• Driving real business impact through insights and automation
  
  

Key ResponsibilitiesData, Analytics & AI Strategy

• Define and execute the roadmap for an AI-native data platform aligned with Intrepid's product and business strategy
• Evolve the organization from dashboarding → proactive insights → autonomous intelligence systems
• Identify and prioritize high-impact opportunities across ML, GenAI, and agentic workflows in ecommerce, marketing, and social commerce
• Drive adoption of AI-powered self-serve analytics and copilots across business teams
  
  

Data Platform, Architecture & Governance

• Own the design and evolution of the modern data stack, including:
• Data warehouse/lakehouse (BigQuery, StarRocks)
• Data pipelines (Airflow, DBT)
• Semantic layer (*************)
• BI tools (Looker Studio, Superset)
• Extend the platform to support:
• Real-time and streaming data use cases for social commerce
• Vector databases, MCP, and LLM integration layers
• Establish strong foundations for data governance, privacy, security, quality, lineage, and cataloging
• Ensure platform scalability, reliability, and cost efficiency
  

AI, Machine Learning & Intelligent Systems

• Lead the development and deployment of:
• Anomaly detection and automated insight systems
• Generative AI use cases (copilots, automated reporting, content insights)
• Recommendation systems (product, pricing, targeting)
• Predictive models (forecasting, ROAS optimization, churn, inventory planning)
• Drive adoption of LLM-powered analytics (NL2SQL, conversational BI, insight generation)
• Build foundations for agentic AI systems that can autonomously analyze, recommend, and act
  

Business Impact, Self-Serve & Team Leadership

• Transition from pull-based dashboards → push-based, actionable insights
• Enable business teams with:
• Proactive alerts, recommendations, and decision support tools
• Scenario simulation and planning capabilities
• Build AI-powered self-serve analytics experiences, reducing dependency on central teams
• Drive semantic layer adoption and metrics standardization across the organization
• Define and track impact metrics (e.g., GMV uplift, marketing efficiency, cost reduction, automation rates)
• Build and lead a high-performing data organization (Data Engineering, Analytics Engineering, Data Science, BI)
• Foster a culture of ownership, experimentation, and AI-first thinking, partnering closely with tech and business functions
  

The Successful Applicant

A Successful Head Of Data And Analytics Should Have

• A strong educational background in data science, computer science, or a related field.
• Proven experience in leading data and analytics teams.
• Expertise in data analysis, data modelling, and machine learning techniques.
• Strong knowledge of data governance and compliance standards.
• Proficiency in data visualization tools and analytics software.
• Ability to collaborate with cross-functional teams and communicate insights effectively.
  
  

A results-driven mindset with a focus on achieving business objectivesExperience & Domain Expertise

• 10+ years in data, analytics, and AI roles, with 3+ years in leadership
• Strong experience in ecommerce, marketplaces, martech, or digital platforms
• Proven track record building modern data platforms and scaling data teams
• Experience working in multi-country / SEA environments is a strong plus
  
  

AI & Data Expertise

• Deep expertise in the modern data stack:
• BigQuery, DBT, Airflow, real-time pipelines, semantic layers
• Hands-on experience with:
• Generative AI / LLMs (RAG, copilots, natural language interfaces)
• Experimentation frameworks and causal inference
• Machine learning (forecasting, optimization, recommendations)
• Familiarity with:
• Feature stores, MLOps, vector databases, and AI orchestration frameworks
• Strong understanding of data modeling, governance, and scalable architecture
  

Leadership & Ways of Working

• Proven ability to build and lead multi-disciplinary data teams
• Strong communication skills; able to translate complex data/AI concepts into business value
• Highly analytical and structured thinker
• Comfortable operating in fast-paced, ambiguous, high-growth environments
• Collaborative, pragmatic, and outcome-driven
  
  

What's On Offer

• Build the AI-powered intelligence engine for the future of ecommerce and social commerce in SEA
• Move beyond dashboards to autonomous, decision-making systems
• Work on real-world, high-scale data across marketplaces, creators, and marketing
• Be a key leader shaping AI-first transformation across the company
• Collaborate with top brands and platforms across Southeast Asia
  
  

If you're excited about building the AI-powered intelligence backbone for the next generation of ecommerce and social commerce in Southeast Asia, we'd love to hear from you.

Contact

Quote job ref: JN-*************