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AI Enablement Project Director

OKX
AI GovernanceOn-siteFull-timeHong Kong, Hong Kong SAR

OKX is hiring for the job of AI Enablement Project Director , Hong Kong, Hong Kong SAR (On-site). This is an AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with OKX.

Organization: OKXLocation: Hong Kong, Hong Kong SARWorkplace: On-siteFocus: AI GovernancePosted: Oct 26, 2026
OKX is hiring for this AI Governance job in Hong Kong, one of the metros GRC Careers tracks for governance, risk, and compliance hiring.

ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX s sponsorship of a visa.

ace-line old-record-id- Who We Are

ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual s freedom.

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ace-line old-record-id- 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.

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ace-line old-record-id- 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.

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ace-line old-record-id- About The Opportunity

ace-line old-record-id- ace-line old-record-id- We are seeking a hands-on Director of AI Enablement to identify high-value business problems, deliver AI solutions in real operational environments, and turn proven approaches into reusable enterprise capabilities.

ace-line old-record-id- The role combines the business immersion and problem discovery of a Deployment Strategist, the technical delivery capability of a Forward-Deployed Engineer, and the product judgment required to standardize successful solutions. You will work directly with teams such as Compliance, Legal, Risk, Customer Service, Operations, and GBS, in partnership with Product, Engineering, Data, Security, and Infrastructure.

ace-line old-record-id- Success is measured by business impact and sustained adoption, not the number of pilots launched.

ace-line old-record-id- What You’ll Be Doing

ace-line old-record-id- 1. Find and Prioritize High-Value Problems

ace-line old-record-id- Embed with business teams and frontline users to understand their workflows, decisions, data, constraints, and pain points.

ace-line old-record-id- Separate root causes from symptoms and determine whether the right answer is process redesign, better data, automation, AI, or a combination of these.

ace-line old-record-id- Prioritize opportunities based on business value, user reach, risk, feasibility, time-to-value, and reuse potential.

ace-line old-record-id- Translate ambiguous needs into clear problem statements, target outcomes, success metrics, and executable plans.

ace-line old-record-id- 2. Build and Deliver Solutions

ace-line old-record-id- Define the minimum valuable product and rapidly validate it with real users and data.

ace-line old-record-id- Personally prototype solutions such as copilots, agents, workflow automations, and internal tools.

ace-line old-record-id- For larger or higher-risk initiatives, partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness.

ace-line old-record-id- Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover.

ace-line old-record-id- 3. Drive Adoption and Business Impact

ace-line old-record-id- Design solutions with users and adapt workflows based on real operational behavior.

ace-line old-record-id- Lead pilots, enablement, training, and change management required for sustained adoption.

ace-line old-record-id- Track outcomes such as time saved, cycle-time reduction, quality improvement, risk reduction, cost avoided, and active usage.

ace-line old-record-id- Ensure every initiative has a business owner, an adoption plan, and a sustainable operating model.

ace-line old-record-id- 4. Productize and Scale What Works

ace-line old-record-id- Identify recurring workflows, data needs, integrations, and governance requirements across teams.

ace-line old-record-id- Convert successful deployments into reusable components, templates, reference architectures, or configurable products.

ace-line old-record-id- Decide when a need should remain bespoke, use shared components, or become a standardized product or platform capability.

ace-line old-record-id- Build practical playbooks and standards for opportunity assessment, prototyping, evaluation, productionization, and impact measurement.

ace-line old-record-id- Feed field learnings into shared Product and Engineering roadmaps, reducing duplicated and one-off solutions.

ace-line old-record-id- What We Look For In You

ace-line old-record-id- 4+ years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software/data engineering.

ace-line old-record-id- Demonstrated ability to uncover high-value problems through workflow observation, data analysis, and stakeholder engagement.

ace-line old-record-id- Hands-on experience building and shipping AI, data, or automation-enabled solutions used in real operational workflows.

ace-line old-record-id- Strong product judgment, including prioritization, MVP definition, trade-off decisions, rapid validation, and avoidance of over-engineering.

ace-line old-record-id- Sufficient technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability.

ace-line old-record-id- Working knowledge of LLMs, RAG, agents, tool use, prompt design, evaluation, observability, and human-in-the-loop systems.

ace-line old-record-id- Experience turning bespoke business needs into reusable products, shared services, or operating standards.

ace-line old-record-id- Strong communication and stakeholder-management skills across frontline users, technical teams, and senior executives.

ace-line old-record-id- High ownership and comfort operating in ambiguous, fast-changing environments.

ace-line old-record-id- Nice-To-Haves strong

ace-line old-record-id- Experience in fintech, crypto/blockchain, financial services, or another regulated industry.

ace-line old-record-id- Experience working with Compliance, Legal, Risk, Customer Service, Operations, or other non-engineering functions.

ace-line old-record-id- Experience with enterprise data platforms, knowledge systems, agent frameworks, workflow orchestration, or MCP-based integrations.

ace-line old-record-id- Experience leading an AI enablement function, forward-deployed team, internal product incubator, or multidisciplinary delivery team.

ace-line old-record-id- Familiarity with Lark/Feishu and enterprise internal-tooling ecosystems.

ace-line old-record-id- Expected Outcomes

ace-line old-record-id- Within the first 6–12 months, the successful candidate will be expected to:

ace-line old-record-id- Establish a repeatable approach for identifying and prioritizing high-value AI opportunities.

ace-line old-record-id- Deliver production use cases with measurable operational impact and sustained adoption.

ace-line old-record-id- Create clear ownership and decision paths from prototype to production, scale, handover, or stop.

ace-line old-record-id- Turn selected deployments into reusable capabilities adopted by multiple teams.

ace-line old-record-id- Build a network of business champions and technical partners capable of scaling AI adoption across the organization.

Perks and Benefits

ace-line old-record-id- Competitive total compensation package

ace-line old-record-id- L and D programs and education subsidy for employees growth and development
ace-line old-record-id-doxusfCPfNQIPMLDddcFHLcCJRC Various team building programs and company events

ace-line old-record-id-doxusfCPfNQIPMLDddcFHLcCJRC Wellness and meal allowances
ace-line old-record-id-doxusfCPfNQIPMLDddcFHLcCJRC Comprehensive healthcare schemes for employees and dependants
ace-line old-record-id-doxusfCPfNQIPMLDddcFHLcCJRC More that we love to tell you along the process!

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Location and market context

This job is based in Hong Kong on-site. Local candidates benefit from being close to OKX's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how OKX would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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