Data Analysis jobs in Malaysia

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Business, or related field.
• 7+ years of experience in AI strategy, innovation leadership, or product management roles.
• 5-10 years of experience in AI machine learning or data science with proven project or startup experience.
• Proven track record of delivering successful AI/automation projects from ideation to implementation.
• Strong understanding of machine learning, generative AI, data analytics and automation technologies.
• Excellent communication and stakeholder management skills, with the ability to translate technical ideas into business value.
• Entrepreneurial mindset with experience driving digital transformation in large or fast-growing organisations.

• Prior leadership roles in innovation, R&D, or AI product development.
• Experience working in sectors such as technology, financial services, or consulting.
• Familiarity with cloud-based AI/ML ecosystems (AWS, Azure, GCP).
• Demonstrated success in building innovation pipelines and managing partnerships or incubators.

We are seeking a visionary AI Innovation leader to drive our organisation’s efforts in exploring, developing, and implementing cutting‑edge artificial intelligence and automation solutions. This role combines strategic leadership, hands‑on innovation, and cross‑functional collaboration to transform how we operate, deliver value, and grow through AI‑driven capabilities.

The ideal candidate will have a passion for experimentation, a deep understanding of AI/ML technologies, and a proven ability to turn emerging ideas into impactful, scalable business outcomes.

Develop and own the organisation’s AI innovation strategy, ensuring alignment with business goals and digital transformation priorities.

Identify emerging AI trends, technologies, and tools that can create competitive advantage.

Lead the development of AI roadmaps, from early research and proof‑of‑concepts to enterprise‑wide adoption.

Champion a culture of innovation across teams, promoting curiosity, experimentation, and continuous improvement.

Spearhead the evaluation, selection, and integration of AI and ML tools across the software development lifecycle and business operations.

Guide teams in building AI‑enabled products, automation solutions, and data‑driven workflows.

Lead proof‑of‑concept and pilot projects, measuring outcomes and scaling successful initiatives.

Collaborate with product, engineering, data science, and business units to translate AI opportunities into actionable business value.

Build, mentor, and lead a high‑performing AI and innovation team.

Partner with internal and external stakeholders, including vendors, research institutions, and clients, to accelerate innovation efforts.

Foster cross‑department collaboration to ensure consistent adoption and governance of AI initiatives.

Identify and pursue new business opportunities driven by AI and emerging technologies.

Communicate the business impact of AI initiatives to executives and clients, influencing investment and adoption decisions.

Drive organisational growth through the commercialisation of AI solutions and partnerships.

Lead transformative initiatives at the intersection of AI, business strategy, and innovation.

Work with forward‑thinking teams dedicated to shaping the future of our industry.

Opportunity to influence enterprise‑wide AI adoption and product innovation.

Competitive compensation and a culture that rewards creativity and impact.