- 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 (Cube.dev)
- 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-082026-7078385
