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Intrepid Asia

Omni-channel ecommerce management and marketing solutions

Head of Data & Analytics - AI Native

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHo Chi Minh City, VietnamNo salary listedHybrid

About the Job

Requirements

  • At least 10 years of experience in data, analytics, and AI roles, including at least 3 years in leadership.
  • Strong experience in ecommerce, marketplaces, marketing technology, or digital platforms.
  • A proven track record of building modern data platforms and scaling data teams.
  • Deep expertise in modern data stacks, including BigQuery, DBT, Airflow, real-time pipelines, and semantic layers.
  • Hands-on experience with generative AI and large language models, including retrieval-augmented generation, copilots, and natural-language interfaces.
  • Experience with experimentation frameworks and causal inference.
  • Experience with machine learning, including forecasting, optimization, and recommendations.
  • Familiarity with feature stores, machine-learning operations, vector databases, and AI orchestration frameworks.
  • Strong understanding of data modeling, governance, and scalable architecture.
  • Proven ability to build and lead multidisciplinary data teams.
  • Ability to translate complex data and AI concepts into business value.
  • Experience working in multicountry or Southeast Asian environments is a strong plus.
  • Ability to operate in fast-paced, ambiguous, high-growth environments.

Responsibilities

  • Define and execute the roadmap for an AI-native data platform aligned with product and business strategy.
  • Evolve the organization from dashboarding to proactive insights and autonomous intelligence systems.
  • Identify and prioritize high-impact machine-learning, generative-AI, and agentic-workflow opportunities across ecommerce, marketing, and social commerce.
  • Drive adoption of AI-powered self-service analytics and copilots across business teams.
  • Own the design and evolution of the modern data stack, including the data warehouse and lakehouse, data pipelines, semantic layer, and business-intelligence tools.
  • Extend the platform to support real-time and streaming social-commerce use cases, vector databases, Model Context Protocol, and large-language-model integration layers.
  • Establish foundations for data governance, privacy, security, quality, lineage, and cataloging.
  • Ensure platform scalability, reliability, and cost efficiency.
  • Lead development and deployment of anomaly detection and automated insight systems, generative-AI use cases, recommendation systems, and predictive models.
  • Drive adoption of large-language-model-powered analytics, including natural-language-to-SQL, conversational business intelligence, and insight generation.
  • Build foundations for agentic AI systems that can autonomously analyze, recommend, and act.
  • Transition from pull-based dashboards to push-based, actionable insights.
  • Enable business teams with proactive alerts, recommendations, decision-support tools, scenario simulation, and planning capabilities.
  • Build AI-powered self-service analytics experiences that reduce dependency on central teams.
  • Drive semantic-layer adoption and metrics standardization across the organization.
  • Define and track impact metrics such as gross merchandise value uplift, marketing efficiency, cost reduction, and automation rates.
  • Build and lead a high-performing data organization across data engineering, analytics engineering, data science, and business intelligence.
  • Foster ownership, experimentation, and AI-first thinking while partnering with technology and business functions.
  • Own the end-to-end data, analytics, and AI strategy; build a platform that advances from reporting to insights, actions, and autonomous optimization; and enable internal teams and external clients with self-service, AI-powered decision-making tools.
  • Partner closely with product, engineering, and business teams to embed intelligence into workflows.

Desired Qualifications

  • Experience working in multicountry or Southeast Asian environments.

About the Company

Intrepid Asia

Omni-channel ecommerce management and marketing solutions

Intrepid Asia provides ecommerce and digital solutions for brands aiming to win in Southeast Asia, focusing on end-to-end omni-channel ecommerce management, digital marketing, and market intelligence, all backed by in-house technology. It helps brands grow online by managing storefronts and marketplaces across channels, running digital marketing campaigns, and using data-driven insights to optimize strategy. Its differentiation comes from regional scale across Southeast Asia combined with a unified tech-enabled platform and expansion into social commerce and brand-owned sites. Its goal is to maximize brands' online presence and sales across multiple channels in Southeast Asia.

Company size
201-500
Company stage
Acquired
Total funding
$11M
Headquarters
Singapore, Singapore
Founded
2017

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