AI Enablement / Digital Transformation

Recruit Express Pte Ltd; Singapore; Vor Ort; SGD 120.000 - 160.000; Vollzeit

Zusammenfassung

Recruit Express Pte Ltd in Singapore seeks an AI enablement leader to drive GenAI strategy, governance, and enablement across the business. You will translate needs into scalable AI solutions, design workshops and playbooks, and collaborate with Security, Risk, Legal, and Data teams to ensure responsible usage.

You will coordinate with product, engineering and data science teams to pilot and scaleAI initiatives, maintain assets, and report impact with measurable KPIs to leadership.

Qualifikationen

• 5+ years in digital transformation, product/programme management, analytics, or AI enablement roles.
• Strong understanding of AI/GenAI concepts, model limitations, and evaluation approaches.
• Experience designing and delivering training, workshops, and change management initiatives.
• Knowledge of responsible AI, data privacy, and security considerations in enterprise environments.
• Excellent communication skills with the ability to influence and align stakeholders.

Aufgaben

• Lead AI enablement programmes and governance with Security, Risk, Legal and Data teams.
• Coordinate with product, engineering and data science teams to pilot, validate, and scale AI solutions.
• Develop AI tools catalogue, intake process, and reusable assets (templates, checklists, model cards).
• Drive change management and communications to boost adoption and share success stories.
• Define and track KPIs (usage, productivity, risk) and report outcomes to leadership.

Kenntnisse

GenAI enablement

Stakeholder management

Change management

Training delivery

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Ms Copilot AI

Jobbeschreibung

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.

Acting as a trusted advisor to teams on solution design, feasibility, and responsible use to ensure measurable business value and compliance.

Job Requirements:

• 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 tools (e.g., Ms Copilot AI or equivalent), collaboration tools, and basic data literacy; comfortable working in an agile environment.