IT Manager (AI Enablement) #IFL

RECRUIT EXPRESS PTE LTD

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

RECRUIT EXPRESS PTE LTD is seeking an experienced AI enablement leader to drive the organization's GenAI strategy and governance. You will partner with stakeholders, design training programs, and coordinate cross-functional teams to scale AI solutions responsibly.

The role focuses on upskilling teams, establishing governance guardrails, and tracking KPIs to demonstrate business value and adoption of GenAI across the enterprise.

Qualifications

  • Degree in Computer Science, Information Systems, Data/Analytics, Business, or related field.
  • Experience in digital transformation, product/programme management, analytics, or AI/ML enablement roles (GenAI preferred).
  • 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 at all levels.
  • Familiarity with AI tools and collaboration tools; agile environment.

Responsibilities

  • Lead AI enablement strategy and translate business needs into scalable AI solutions.
  • Capture requirements and define success metrics across functions.
  • Design and deliver enablement programmes (workshops, office hours, playbooks).
  • Establish AI governance and guardrails with Security, Risk, Legal, and Data teams.
  • Pilot, validate, and scale AI solutions with product, engineering and data science teams.
  • Develop and maintain AI tools catalogue, intake process, and reusable assets.
  • Drive change management and stakeholder engagement; share success stories.

Skills

AI concepts
Training design
Stakeholder management
Communication skills
GenAI tools

Education

Degree in CS/IS/Data/Analytics/Business

Tools

Ms Copilot AI

Job description

Job Description:

Data Management & Transformation

  • Leading the organization'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, prioritize 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 Requirement:
  • 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 operationalize 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

We regret that only shortlisted candidates will be contacted.

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