Digital Data and AI Adoption Lead SG

Responsibilities:

1. Strategy & Planning

• Collaborate with business leaders to identify opportunities for digital, data, and AI adoption.
• Support the development of digital transformation roadmaps aligned with organizational goals.
Conduct readiness assessments and stakeholder analysis to inform adoption strategies.

2. Enablement & Change Management

• Design and deliver training, workshops, and enablement programs to build digital and data literacy.
• Develop communication plans to promote awareness and engagement around AI and analytics initiatives.
Act as a change agent to foster a culture of innovation and continuous improvement.

3. Implementation Support

• Partner with data science, IT, and product teams to ensure solutions are user-centric and scalable.
• Translate business requirements into actionable insights and use cases for AI and analytics.
Support pilot programs and scale successful initiatives across departments.

4. Monitoring & Evaluation

• Define and track adoption metrics, KPIs, and user feedback to measure impact.
• Identify barriers to adoption and recommend interventions to improve uptake.
Prepare reports and dashboards for leadership on adoption progress and outcomes.

5. Stakeholder Engagement

• Serve as a trusted advisor to business units on digital and AI capabilities.
• Facilitate cross-functional collaboration between technical and non-technical teams.
Represent the voice of the user in solution design and deployment.

Requirements:

Qualifications

Bachelor’s degree in Business, Data Science, Information Systems, or related field (Master’s preferred).

Relevant Work Experience

• 3–5 years of experience in digital transformation, data analytics, AI adoption, or change management.
• Strong understanding of data and AI technologies, including analytics platforms, machine learning, and cloud solutions.
• Proven experience in stakeholder engagement and driving organizational change.
Excellent communication, facilitation, and project management skills.

Competencies/Skills

• Digital Fluency: Ability to understand and explain digital and AI concepts to non-technical audiences.
• Change Leadership: Skilled in guiding teams through transformation and overcoming resistance.
• Analytical Thinking: Ability to interpret data and translate insights into business actions.
• Collaboration: Strong interpersonal skills to work across diverse teams and functions.
• User-Centric Mindset: Focused on designing solutions that meet user needs and drive adoption.