Head of Data & Analytics (AI Native)

Who we are Intrepid Asia is a leading Ecommerce and Digital Solutions Provider in South East Asia. We offer end-to-end omni-channel ecommerce management, Livestreaming, Video production & Affiliate Management for Social Commerce, plus full funnel Digital Marketing Services and advanced Market Intelligence, all powered by state-of-the-art in-house Technology to our client base of leading international brands across all key marketplaces and social platforms in all 6 SEA countries. Brands love our regional presence, our excellent data-driven, growth-focused services, enabled by the industry's strongest team, and our advanced marketing and tech capabilities.  We are growing rapidly, and as the exclusive partner of Flywheel in SEA,  we offer many exciting opportunities to work with leading brands across multiple categories and key industry players. By joining us, you will work on the cutting edge of digital and social commerce in SEA, and experience what it takes to drive a successful ecommerce business end-to-end.

The team you will be part of Our Tech Team is the engine behind our digital capabilities—designing and building the platforms, tools, and systems that power our services across the eCommerce ecosystem. From automation to optimization to data integration, the team turns complex challenges into seamless solutions, enabling scale, speed, and smarter decision-making. With innovation at its core, Tech drives the digital backbone of our business and empowers every function to perform at its best.

Our Data & AI Vision We are building an AI-native data platform that: • Unifies data across ecommerce, marketing, creators, and operations into a real-time, governed data foundation • Moves beyond dashboards to deliver proactive, predictive, and prescriptive insights • Enables AI-driven self-serve analytics for business users via natural language, copilots, and agents • Powers autonomous decision-making and optimization across pricing, campaigns, inventory, and content • Embeds machine learning and generative AI into core workflows (forecasting, recommendations, anomaly detection, content insights) • Acts as the intelligence backbone of our internal tech platforms

Our current stack includes Google BigQuery, StarRocks, Airflow, DBT, Cube.dev (semantic layer), Looker Studio, and Apache Superset—and we are evolving this into a modern AI + data platform with real-time, ML, and agentic capabilities.

Role Overview We are looking for a hands-on Head of Data & Analytics to lead the transformation from a traditional BI and data platform into an AI-driven intelligence platform. 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 Responsibilities

1. Data, 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

2. 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

3. 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

4. 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