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Project Manager - AI & Data

RM 5,500 - RM 8,000 / month

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Key Responsibilities:

1. Project Planning and Execution

  • Develop comprehensive project plans outlining scope, timeline, and resource allocation.
  • Define project objectives, deliverables, timeline, and success metrics in collaboration with stakeholders.
  • Oversee the execution of AI and data science projects, ensuring adherence to deadlines and quality standards.
  • Track progress, manage resources, and ensure on-time, on-budget project delivery.

2. Requirements Gathering & Product Definition

  • Collaborate with internal stakeholders to identify user needs, pain points, and success criteria, particularly for university students as the target audience.
  • Translate business and client requirements into clear, actionable product specifications for AI features.
  • Prioritize features based on impact, feasibility, and alignment with business strategy.

3. Stakeholder Management

  • Act as the primary point of contact for stakeholders, communicating project progress, challenges, and solutions.
  • Gather and document requirements from stakeholders, ensuring alignment with business goals.
  • Manage stakeholder expectations and facilitate regular status updates.

4. Cross-Functional Collaboration

  • Work closely with other departments to ensure seamless project execution.
  • Facilitate communication and collaboration between Sales & Operation Department.
  • Ensure alignment between technical outputs and business needs.

5. Technical Oversight and Quality Assurance

  • Monitor the development and deployment of AI models and data-driven solutions.
  • Ensure the technical feasibility of projects by coordinating with the team to validate proposed approaches.
  • Establish best practices for testing, validation, and implementation of AI/ML models.
  • Work closely with external AI programmers to design and optimize LLM and RAG-based solutions for our SaaS software.
  • Oversee testing processes, quality assurance, and performance metrics for AI features.
  • Ensure AI solutions adhere to industry best practices and compliance requirements.

6. Risk Management & Problem Solving

  • Identify potential risks and implement mitigation strategies.
  • Address and resolve project issues promptly, minimizing impacts on timelines and deliverables.
  • Maintain a contingency plan for critical project phases.
  • Continuously review and refine workflows to enhance efficiency and reduce costs.

7. Product Enhancement & Innovation

  • Continuously evaluate product performance against client needs and market trends.
  • Propose new features or improvements to enhance product value, drawing on your understanding of LLMs, RAG pipelines, and SaaS business models.
  • Collaborate with user experience (UX) and design teams to ensure high-quality product interfaces for university students.

8. Stakeholder Communication

  • Serve as the primary liaison between external developers, internal teams, and senior management.
  • Present project updates, feature roadmaps, and technical findings in clear, non-technical language.
  • Collect and integrate feedback from diverse stakeholders throughout the development cycle.

9. Compliance and Ethical Standards

  • Ensure compliance with data privacy, security, and governance regulations.
  • Promote ethical AI practices, ensuring fairness, transparency, and accountability in AI models and processes.

10. Innovation and Continuous Learning

  • Stay updated with the latest trends in AI, machine learning, and data science.
  • Encourage innovative approaches to solve complex business problems.
  • Advocate for the adoption of new tools and technologies to enhance team productivity.

11. Industry & Market Research

  • Stay updated on emerging AI trends, competitor SaaS products, and industry developments.
  • Provide recommendations on new AI tools or methodologies that could enhance our SaaS platform for university students

Required Knowledge and Skills:

  • Diploma or Bachelor Degree in Computer Science, Software Engineering or a related field.
  • Experience in project management, product management, or a similar role—preferably in AI or SaaS software development.
  • Familiarity with large language models (GPT, LLaMA, Claude, etc.) and AI/ML concepts.
  • Basic understanding of RAG pipelines, AI retrieval systems, and NLP applications.
  • Comfortable discussing feasibility, complexity, and scope with AI/ML developers.
  • Strong problem-solving skills and the ability to think critically about complex problems.
  • Strong passion in different areas of AI and ML
  • Understanding of machine learning (ML) concepts, algorithms, and frameworks (e.g., supervised/unsupervised learning, deep learning).
  • Proven track record of delivering projects on time and within budget.
  • Proficiency in project management tools (e.g., JIRA, Trello, Asana).
  • Experience defining and executing product roadmaps, from ideation to launch.
  • Strong knowledge of statistical methods, predictive modeling, and data analysis techniques.
  • Openness to feedback and collaborative problem-solving.
  • Curiosity and eagerness to stay updated with the latest research and advancements in AI and data science.
  • Willingness to learn new tools, techniques, and concepts as the field evolves.

Benefits:

  • Hybrid Working Mode
  • EPF, Sosco & EIS
  • Entitlement of various leaves such as Annual Leave, Medical Leave, Compassionate Leave, Paternity Leave, Maternity Leave, Marriage Leave etc.
  • Medical, Dental and Optometry Benefits
  • Fun Working Environment
  • Career Growth Opportunities

Job Types: Full-time, Permanent

Pay: RM5,500.00 - RM8,000.00 per month

Benefits:

  • Flexible schedule
  • Maternity leave
  • Opportunities for promotion
  • Parental leave
  • Professional development
  • Work from home

Schedule:

  • Monday to Friday

Work Location: In person