Specialist, Data Project Manager

TNG Digital Sdn Bhd; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

TNG Digital Sdn Bhd in Kuala Lumpur seeks a seasoned Data Project Manager to lead AI and MLOps initiatives, aligning delivery with business goals. You will implement Agile/Scrum frameworks and own the DataAI project portfolio from planning to payoff.

Responsibilities include cross‑functional resource planning for data scientists, ML engineers, and BI developers, stakeholder management, and executive reporting on project status and cloud spend. Prior experience with ROI tracking is essential.

Qualifications

• Bachelor’s or master’s degree in business, Finance, Computer Science, or a related field.
• Minimum 6 years of professional experience, including at least 2 years managing complex AI/Data Science projects.
• Strong knowledge of MLOps practices and risks of production ML systems.
• Demonstrated experience in CBA and project benefits tracking (ROI calculation).
• Project management certifications (PMP, Scrum Master) are considered an advantage.
• Familiarity with cloud platforms (AWS, Azure, or GCP) billing and resource management is preferred.

Responsibilities

• Define, implement, and enforce an Agile/Scrum framework tailored for AI projects (MLOps) and ensure timely delivery.
• Develop and manage the DataAI Project Portfolio, prioritizing initiatives based on strategic alignment, feasibility, and ROI.
• Conduct detailed resource planning, allocating data scientists, ML engineers, and BI developers across projects to meet business priorities.
• Take full ownership of project delivery, resolve challenges, align stakeholders, and ensure all objectives are met on time and to high standards.
• Promote accountability and continuous improvement to achieve successful AI and automation outcomes.
• Create regular executive-level reports detailing project status, financial performance, and business value realization.

Skills

MLOps

ROI calculation

PMI/PMP

Scrum Master

Resource planning

Stakeholder management

Education

Bachelor’s or Master’s degree in business/Finance/CS or related field

Tools

AWS

Azure

GCP

Job description

# Specialist, *Data Project Manager*Kuala Lumpur, MalaysiaPermanent#### Duties & Responsibilities* I. Project Discipline & Resource Management* Define, implement, and enforce an Agile/Scrum framework tailored for AI projects (MLOps), ensuring timely delivery and clear scoping.* Develop and manage the DataAI Project Portfolio, prioritizing initiatives based on strategic alignment, feasibility, and expected ROI.* Conduct detailed resource planning, allocating data scientists, ML engineers, and BI developers across projects to meet business priorities.* Take full ownership of project delivery, resolve challenges, align stakeholders, and ensure all objectives are met on time and to high standards. Promote accountability and continuous improvement to achieve successful AI and automation outcomes.* II. Financial Oversight & Impact Measurement* Own project Cost Management, accurately forecasting, tracking, and reporting on cloud computing expenditure (especially compute/storage for training models & LLM expenses).* Standardize the methodology for calculating and tracking Project Impact (ROI), linking model performance metrics (e.g., accuracy, lift) directly to business KPI (e.g., call deflection rate, revenue uplift).* Create regular executive-level reports detailing project status, financial performance, and business value realization.#### Requirements* Bachelor’s or master’s degree in business, Finance, Computer Science, or a related field.* Minimum 6 years of professional experience, including at least 2 years managing complex AI/Data Science projects.* Strong knowledge of MLOps practices and the risks associated with production ML systems.* Demonstrated experience in CBA and project benefits tracking (such as ROI calculation).* Project management certifications (such as PMP, Scrum Master) are considered an advantage.* Familiarity with cloud platforms (AWS, Azure, or GCP), particularly billing and resource management, is preferred.