AI Enablement PMO Director
OKX · Hong Kong +1 · 2mo ago
Director & ExecutiveOn-siteMachine Learning & AI
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are seeking a Director of AI Enablement — a hands-on builder who turns AI strategy into shipped reality across business units. This is not a strategy-only or purely advisory role. We need someone who rolls up their sleeves: mapping how teams actually work today, spotting where AI can remove friction or unlock value, and then building — or driving the build of — the solution alongside the team that will use it.
The ideal candidate sits between execution and delivery: technical enough to prototype a working solution themselves, and operationally sharp enough to partner with engineering when a problem needs real infrastructure. Not a theorist, not a pure PM — someone who ships.
What You’ll Be Doing
1. AI Transformation Execution
Own execution of AI adoption projects end-to-end, business unit by business unit:
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Embed with business teams (e.g. Compliance, Legal, CS) to understand existing workflows in detail and identify concrete gaps and pain points.
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Translate identified gaps into practical AI-driven solution ideas — not abstract recommendations, but scoped proposals with a clear path to delivery.
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Work directly alongside business teams to implement solutions (AI products, copilots, automated workflows, internal tools) and drive adoption post-launch.
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Track and report on impact — efficiency gains, time saved, quality improvements — to justify continued investment and prioritize the next use case.
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Build reusable playbooks and templates from each transformation project so lessons scale across other business units.
2. System Building & Technical Execution
Operate as the technical bridge between business needs and delivery, choosing the right execution path for each problem:
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For larger, cross-functional initiatives: act as an AI PM — deeply understand business requirements, map them against existing company tech infrastructure, and partner with the relevant engineering/R&D teams to scope, prioritize, and drive delivery.
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For smaller, high-velocity needs: personally build quick-win solutions (vibe-coding internal tools, lightweight automations, prompt-based workflows) and hand them directly to business teams for immediate use.
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Maintain working knowledge of the company's AI tooling and infrastructure (internal copilots, MCP servers, knowledge base systems, agent frameworks) to know what can be reused vs. what needs to be built new.
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Continuously evaluate emerging AI tools and techniques for applicability to internal use cases, and pilot them quickly and cheaply before recommending broader investment.
3. Organizational AI Enablement & Adoption
Support the broader AI enablement agenda at the ground level:
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Help run AI literacy and enablement activities for non-technical business units, translating capability into concrete, adoptable use cases.
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Contribute to and maintain internal AI playbooks, prompt libraries, and tooling documentation.
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Act as a first point of contact for business units with an AI use-case idea — helping them scope it, prioritize it, and find the fastest path to a working solution.
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Share learnings and reusable components back into the broader AI enablement function to avoid duplicated effort across teams.
What We Look For In You
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4+ years of experience in a role combining project execution, product management, or technical delivery, with meaningful hands-on exposure to AI/LLM-based tools or products.
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Demonstrated ability to independently build and ship practical AI-powered solutions (e.g. internal copilots, automation scripts, prompt-driven tools) — comfortable "vibe coding" a working prototype without waiting on a full engineering team.
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Strong stakeholder management skills — able to sit with a non-technical business team, extract real requirements, and translate them into a scoped, deliverable solution.
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Working understanding of the modern AI stack: LLMs, RAG, prompt engineering, and agentic/automation frameworks — enough to have informed conversations with engineering, not necessarily to architect systems from scratch.
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Comfortable operating with ambiguity and switching between "hands-on builder" and "AI PM working with R&D" depending on the size and complexity of the initiative.
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Bachelor's degree in a related field (Computer Science, Engineering, Business, or equivalent practical experience).
Nice-To-Haves
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Experience in fintech, crypto/blockchain, or another regulated industry.
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Prior experience working cross-functionally with Compliance, Legal, GBS, or similar non-P&E functions.
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Familiarity with internal enterprise tooling ecosystems (Lark/Feishu, MCP-based integrations, internal data platforms).
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Experience running or contributing to an internal AI Center of Excellence, enablement program, or similar cross-team initiative.
Perks & Benefits
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Competitive total compensation package
- L&D programs and education subsidy for employees' growth and development
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Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
Notice:
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