CJ Mart Co.,Ltd.
Head of Data & AI
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bangkok, Thailand
Work mode:
Onsite
Published on:
27 August 2026
What they need
Role Summary
Own the data & AI function end-to-end — from strategy and roadmap through to delivery. This role sets technical direction, builds and leads a multi-disciplinary team, and partners directly with business units to turn ambiguous problems into shipped data and AI products. You are equally comfortable in a strategy review and a code/architecture review.
Key Responsibilities
Strategy & Roadmap
- Align the data & AI strategy with the broader organizational strategy and roadmap; translate business objectives into a concrete technical agenda.
- Own the data & AI roadmap — prioritization, sequencing, trade-offs, and communicating it to both leadership and the delivery team.
- Partner with business stakeholders as the technical authority: scope problems, assess feasibility, and design solutions that solve real business needs rather than chasing technology for its own sake.
- Set expectations on what data & AI can and can't do, and hold the line on scope and value.
- Lead and grow a technical team spanning Data Engineers, AI Engineers, Data Scientists, and Data Architects.
- Build team capability, define roles and career paths, set technical standards, and create an environment where the team ships reliably.
- Set architectural direction and guardrails across the data & AI platform; ensure decisions favor maintainability, governance, and avoiding vendor lock-in.
- Stay current on data & AI trends and evaluate what's genuinely worth adopting versus hype.
Required Qualifications
- Proven experience leading data and/or AI teams, with hands-on depth in at least one of: data engineering, ML/AI engineering, or data science.
- Track record of taking data/AI initiatives from strategy to production, not just prototypes.
- Strong stakeholder management — able to influence business leaders and translate between technical and business language.
- Solid grounding in modern data & AI architecture (pipelines, ML lifecycle, cloud/on-prem trade-offs, governance/compliance).
Preferred
- Experience in retail/FMCG industry
- Familiarity with open-standard, lock-in-averse platform design
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