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按这个岗位的城市和方向提醒，确认后才开启，可选择每日或每周。
岗位城市暂未明确，请先到找职位页面选择城市和方向。
选择求职条件主导AI赋能战略，识别高价值用例并转化为可扩展AI方案，设计培训与最佳实践，协同安全、法务等部门制定治理框架，推动AI工具落地与业务指标提升。
Reporting to Senior Manager IT Operations, the successful candidate will be responsible for the following:
Leading the organisation’s AI enablement strategy by identifying high-value use cases and translating business needs into scalable AI solutions.
Partnering with stakeholders across functions to capture requirements, prioritise opportunities, and define success metrics (value, adoption, risk).
Designing and delivering enablement programmes (workshops, office hours, playbooks) to upskill teams on responsible GenAI usage and to prompt best practices.
Establishing AI governance and guardrails in collaboration with Security, Risk, Legal and Data teams (privacy, IP, data handling, model risk).
Coordinating with product, engineering and data science teams to pilot, validate, and scale AI solutions; manage delivery plans, timelines and dependencies.
Developing and maintain an AI tools catalogue, intake process, and reusable assets (templates, evaluation checklists, model cards) where applicable.
Driving change management and communications to increase adoption, including stakeholder engagement, success stories, and community building.
Defining and tracking KPIs (usage, productivity impact, quality, risk incidents) and reporting outcomes to leadership with clear recommendations.
Staying current on GenAI and enterprise AI trends and evaluating vendors/solutions to recommend fit-for-purpose capabilities .
Acting as a trusted advisor to teams on solution design, feasibility, and responsible use to ensure measurable business value and compliance.
Degree in Computer Science, Information Systems, Data/Analytics, Business, or related field.
5+ years of experience in digital transformation, product/programme management, analytics, or AI/ML enablement roles (GenAI experience preferred).
Strong understanding of AI/GenAI concepts, model limitations, and evaluation approaches; able to translate between business and technical teams.
Experience designing and delivering training, workshops, and change management initiatives; strong facilitation and stakeholder management skills.
Knowledge of responsible AI, data privacy, and security considerations in enterprise environments; able to operationalise governance guardrails.
Excellent communication skills (written and verbal) with the ability to influence and align stakeholders at all levels.
Familiarity with common AI toolchains (e.g., Ms Copilot AI or equivalent), collaboration tools, and basic data literacy; comfortable working in an agile environment.
